Podcasts about nist national institute

 Bringing Tens of Thousands of Newcomers to the 9/11 Truth | Watch Along with Them! — 45 Minutes  Jimmy Dore posted today our LIVE interview with him from the other day! He encouraged us to share all the evidence we could in our limited time with him, and we did!  I was joined by structural engineer Kamal Obeid from Architects & Engineers for 9/11 Truth who addressed key issues including the impossibility of the free-fall collapse of World Trade Center Building 7. We addressed as many key points as we possibly could in the 45 minutes that we had:The importance of the truth-telling that WI Senator Ron Johnson and former Congressman Curt Weldon are all about right now. Jimmy played excerpts of the Senator's WTC comments on The Benny Show including “molten metal…controlled demolition…Calling Out Bravo 7 documentary.” We are making sure that the Senator has the solid body of evidence that will back up his historic efforts to get a real 9/11 investigation. The more you help us, the more we can help the VIP's who have the courage to speak out!We addressed these questions among many others on Jimmy Dore:Why didn't the American Institute of Architects issue even one bulletin on the catastrophic unprecedented destruction of 47-story World Trade Center Building 7 — the third worst structural failure in history?Why didn't NIST (National Institute of Standards & Technology) include in their 2004 report on the Twin Towers the 156 first responders who saw, heard, and experienced explosions? And, many of them before the collapse of the towers?Why did NIST persist with their theory that the top section crushed the building section below while maintaining a near free-fall acceleration (when the top section was in fact destroyed in the first 3 seconds) — as if 90% of the steel gave no resistance whatsoever?What caused the hundreds of laterally-ejected freely-flying 4-ton structural steel sections, at 80mph, landing 600 feet in every direction impaling themselves in skyscrapers all around them?What cause the complete pulverization of 110 acre-sized concrete floors — 90,000 tons of concrete in each tower, and dispersed it from river to river across Lower Manhattan?What was crushing the lower section of each tower, if the above steel and concrete, which was 2/3 of their weight, was NOT even available to crush it?!The above questions were just the beginning of the 7-dozen key points of forensic, video, and eyewitness testimony we laid on Jimmy. Please let us know how you think we did. There's always room for improvement. Visit us at RichardGage911.orgSupport the show

In this Episode, we dive deep into Risk Integration Strategy Based off NIST, offering you a comprehensive guide to effectively managing and integrating risk in your organization. Learn how to align your cybersecurity practices with the NIST (National Institute of Standards and Technology) framework to enhance your risk management processes.

In this episode of the Security Swarm Podcast, host Andy Syrewicze and guest Michael Posey discuss the new password guidelines and recommendations released by NIST (National Institute of Standards and Technology). They cover a range of topics related to password security, including the importance of password length over complexity, the move away from composition rules and periodic password changes, the risks associated with knowledge-based authentication, the concept of password entropy, and more!   Throughout the conversation, Andy and Michael draw on their extensive experience in the cybersecurity field to offer practical advice and perspectives on the changing landscape of password security.   Do you want to join the conversation? Join us in our Security Lab LinkedIn Group!  Key Takeaways:  NIST recommends a minimum password length of 8 characters, with a suggested length of 15 characters or more.   NIST has recommended removal of the requirement for password composition rules, such as the need for special characters, numbers, and uppercase letters.   NIST states that password providers SHALL NOT require periodic password changes unless there is evidence of a breach, as this can lead to users creating predictable password patterns.   The use of ASCII and Unicode characters is now encouraged, allowing for more diverse and random password options.   Password entropy (randomness) is more important than password complexity, as modern computing power can quickly crack simple but complex-looking passwords.   For mission-critical systems, organizations may still choose to implement more rigorous password policies, even if they deviate from the NIST recommendations.   The industry is exploring new hashing methods and technologies, such as passkeys, to address the challenges posed by GPU-based brute-force attacks.  Timestamps:  (07:40) Credential Service Provider (CSP) Requirements and Recommendations   (10:02) Removing Password Composition Rules   (14:21) Ending Periodic Password Changes   (19:48) The Importance of Password Entropy and Length   (28:30) Phasing Out Knowledge-Based Authentication   (30:30) The Impact of Password Length on Cracking Time  Episode Resources:  NIST Publication 800-63B -- To enhance your organization's security posture, consider implementing Hornetsecurity's Advanced Threat Protection. This solution provides AI-powered defense against sophisticated attacks, ensuring your emails and data remain secure. By adopting best practices in password management and utilizing advanced security features, you can significantly reduce the risk of breaches. Protect your business today and stay one step ahead of cyber threats. Learn more about Advanced Threat Protection here. 

In this episode, we talk about: The need for human-centered security—in order for security measures to be effective, they must center around people, making usability as crucial as technology. We explore the gap between research and practice, highlighting the need to bring cybersecurity research into real-world application. Human-centered security research can't possible be effective if no one knows about it or finds it challenging to implement.The importance of collaboration, advocating for more shared spaces where researchers and practitioners can come together to address pressing cybersecurity challenges.Julie Haney is a Computer Scientist and Human-Centered Security Researcher and program lead at NIST (National Institute of Standards and Technology). She was formerly a Computer Scientist at the United States Department of Defense. In the episode we refer to two of Julie's publications: “From Ivory Tower to Real World: Building Bridges Between Research and Practice in Human-Centered Cybersecurity” and “Towards Bridging the Research-Practice Gap: Understanding Researcher-Practitioner Interactions and Challenges in Human-Centered Cybersecurity.”

While AI doomers proselytize their catastrophic message, many politicians are recognizing that the loss of America's competitive edge poses a much more real threat than the supposed “existential risk” of AI. Today on Faster, Please!—The Podcast, I talk with Adam Thierer about the current state of the AI policy landscape and the accompanying fierce regulatory debate.Thierer is a senior fellow at the R Street Institute, where he promotes greater freedom for innovation and entrepreneurship. Prior to R Street, he worked as a senior fellow at the Mercatus Center at George Mason University, president of the Progress and Freedom Foundation, and at the Adam Smith Institute, Heritage Foundation, and Cato Institute.In This Episode* A changing approach (1:09)* The global AI race (7:26)* The political economy of AI (10:24)* Regulatory risk (16:10)* AI policy under Trump (22:29)Below is a lightly edited transcript of our conversationA changing approach (1:09)Pethokoukis: Let's start out with just trying to figure out the state of play when it comes to AI regulation. Now I remember we had people calling for the AI Pause, and then we had a Biden executive order. They're passing some sort of act in Europe on AI, and now recently a senate working group in AI put out a list of guidelines or recommendations on AI. Given where we started, which was “shut it down,” to where we're at now, has that path been what you might've expected, given where we were when we were at full panic?Thierer: No, I think we've moved into a better place, I think. Let's look back just one year ago this week: In the Senate Judiciary Committee, there was a hearing where Sam Altman of OpenAI testified along with Gary Marcus, who's a well-known AI worrywart, and the lawmakers were falling all over themselves to praise Sam and Gary for basically calling for a variety of really extreme forms of AI regulation and controls, including not just national but international regulatory bodies, new general purpose licensing systems for AI, a variety of different types of liability schemes, transparency mandates, disclosure as so-called “AI nutritional labels,” I could go on down the list of all the types of regulations that were being proposed that day. And of course this followed, as you said, Jim, a call for an AI Pause, without any details about exactly how that would work, but it got a lot of signatories, including people like Elon Musk, which is very strange considering he was at the same time deploying one of the biggest AI systems in history. But enough about Elon.The bottom line is that those were dark days, and I think the tenor of the debate and the proposals on the table today, one year after that hearing, have improved significantly. That's the good news. The bad news is that there's still a lot of problematic regulatory proposals percolating throughout the United States. As of this morning, as we're taping the show, we are looking at 738 different AI bills pending in the United States according to multistate.ai, an AI tracking service. One hundred and—I think—eleven of those are federal bills. The vast majority of it is state. But that count does not include all of the municipal regulatory proposals that are pending for AI systems, including some that have already passed in cities like New York City that already has a very important AI regulation governing algorithmic hiring practices. So the bottom line, Jim, is it's the best of times, it's the worst of times. Things have both gotten better and worse.Well—just because the most recent thing that happened—I know with this the senate working group, and they were having all kinds of technologists and economists come in and testify. So that report, is it really calling for anything specific to happen? What's in there other than just kicking it back to all the committees? If you just read that report, what does it want to happen?A crucial thing about this report, and let's be clear what this is, because it was an important report because senator Senate Majority Leader Chuck Schumer was in charge of this, along with a bipartisan group of other major senators, and this started the idea of, so-called “AI insight forums” last year, and it seemed to be pulling some authority away from committees and taking it to the highest levels of the Senate to say, “Hey, we're going to dictate AI policy and we're really scared.” And so that did not look good. I think in the process, just politically speaking—That, in itself, is a good example. That really represents the level of concern that was going around, that we need to do something different and special to address this existential risk.And this was the leader of the Senate doing it and taking away power, in theory, from his committee members—which did not go over well with said committee members, I should add. And so a whole bunch of hearings took place, but they were not really formal hearings, they were just these AI insight forum working groups where a lot of people sat around and said the same things they always say on a daily basis, and positive and negatives of AI. And the bottom line is, just last week, a report came out from this AI senate bipartisan AI working group that was important because, again, it did not adopt the recommendations that were on the table a year ago when the process got started last June. It did not have overarching general-purpose licensing of artificial intelligence, no new call for a brand new Federal Computer Commission for America, no sweeping calls for liability schemes like some senators want, or other sorts of mandates.Instead, it recommended a variety of more generic policy reforms and then kicked a lot of the authority back to those committee members to say, “You fill out the details, for better for worse.” And it also included a lot of spending. One thing that seemingly everybody agrees on in this debate is that, well, the government should spend a lot more money and so another $30 billion was on the table of sort of high-tech pork for AI-related stuff, but it really did signal a pretty important shift in approach, enough that it agitated the groups on the more pro-regulatory side of this debate who said, “Oh, this isn't enough! We were expecting Schumer to go for broke and swing for the fences with really aggressive regulation, and he's really let us down!” To which I can only say, “Well, thank God he did,” because we're in a better place right now because we're taking a more wait-and-see approach on at least some of these issues.A big, big part of the change in this narrative is an acknowledgement of what I like to call the realpolitik of AI policy and specifically the realpolitik of geopoliticsThe global AI race (7:26)I'm going to ask you in a minute what stuff in those recommendations worries you, but before I do, what happened? How did we get from where we were a year ago to where we've landed today?A big, big part of the change in this narrative is an acknowledgement of what I like to call the realpolitik of AI policy and specifically the realpolitik of geopolitics. We face major adversaries, but specifically China, who has said in documents that the CCP [Chinese Communist Party] has published that they want to be the global leader in algorithmic and computational technologies by 2030, and they're spending a lot of money putting a lot of state resources into it. Now, I don't necessarily believe that means they're going to automatically win, of course, but they're taking it seriously. But it's not just China. We have seen in the past year massive state investments and important innovations take place across the globe.I'm always reminding people that people talk a big game about America's foundational models are large scale systems, including things like Meta's Llama, which was the biggest open source system in the world a year ago, and then two months after Meta launched Llama, their open source platform, the government of the UAE came out with Falcon 180B, an open source AI model that was two-and-a-half times larger than Facebook's model. That meant America's AI supremacy and open source foundational models lasted for two months. And that's not China, that's the government of the UAE, which has piled massive resources into being a global leader in computation. Meanwhile, China's launched their biggest super—I'm sorry, Russia's launched their biggest supercomputer system ever; you've got Europe applying a lot of resources into it, and so on and so forth. A lot of folks in the Senate have come to realize that problem is real: that if we shoot ourselves in the foot as a nation, they could race ahead and gain competitive advantage in geopolitical strategic advantages over the United States if it hobbles our technology base. I think that's the first fundamental thing that's changed.I think the other thing that changed, Jim, is just a little bit of existential-risk exhaustion. The rhetoric in this debate, as you've written about eloquently in your columns, has just been crazy. I mean, I've never really seen anything like it in all the years we've been covering technology and economic policy. You and I have both written, this is really an unprecedented level of hysteria. And I think, at some point, the Chicken-Littleism just got to be too much, and I think some saner minds prevailed and said, “Okay, well wait a minute. We don't really need to pause the entire history of computation to address these hypothetical worst-case scenarios. Maybe there's a better plan than that.” And so we're starting to pull back from the abyss, if you will, a little bit, and the adults are reentering the conversation—a little bit, at least. So I think those are the two things that really changed more, although there were other things, but those were two big ones.The political economy of AI (10:24)To what extent do you think we saw the retreat from the more apocalyptic thinking—how much that was due from what businesses were saying, venture capitalists, maybe other tech . . . ? What do you think were the key voices Congress started listening to a little bit more?That's a great question. The political economy of AI policy and tech policy is something that is terrifically interesting to me. There are so many players and voices involved in AI policy because AI is the most important general-purpose technology of our time, and as a widespread broad base—Do you have any doubt about that? (Let me cut you off.) Do you have any doubt about that?I don't. I think it's unambiguous, and we live in a world of “combinatorial innovation,” as Hal Varian calls it, where technologies build on top of the other, one after another, but the thing is they all lead to greater computational capacity, and therefore, algorithmic and machine learning systems come out of those—if we allow it. And the state of data science in this country has gotten to the point where it's so sophisticated because of our rich base of diverse types of digital technologies and computational technologies that finally we're going to break out of the endless cycle of AI booms and busts, and springs and winters, and we're going to have a summer. I think we're having it right now. And so that is going to come to affect every single segment and sector of our economy, including the government itself. I think industry has been very, very scrambled and sort of atomistic in their approach to AI policy, and some of them have been downright opportunistic, trying to throw each other's competitors under the busNow let me let you go return to the political economy, what I was asking you about, what were the voices, sorry, but I wanted to get that in there.Well, I think there are so many voices, I can't name them all today, obviously, but obviously we're going to start with one that's a quiet voice behind the scenes, but a huge one, which is, I think, the National Security community. I think clearly going back to our point about China and geopolitical security, I think a lot of people behind the scenes who care about these issues, including people in the Pentagon, I think they had conversations with certain members of Congress and said, “You know what? China exists. And if we're shooting ourselves in the foot, we begin this race for geopolitical strategic supremacy in an important new general-purpose technology arena, we're really hurting our underlying security as a nation. I think that that thinking is there. So that's an important voice.Secondly, I think industry has been very, very scrambled and sort of atomistic in their approach to AI policy, and some of them have been downright opportunistic, trying to throw each other's competitors under the bus, unfortunately, and that includes OpenAI trying to screw over other companies and technologies, which is dangerous, but the bottom line is: More and more of them are coming to realize, as they saw the actual details of regulation and thinking through the compliance costs, that “Hell no, we won't go, we're not going to do that. We need a better approach.” And it was always easier in the old days to respond to the existential risk route, like, “Oh yeah, sure, regulation is fine, we'll go along with it!” But then when you see the devilish details, you think twice and you realize, “This will completely undermine our competitive advantage in the space as a company or our investment or whatever else.” All you need to do is look at Exhibit A, which is Europe, and say, if you always run with worst-case scenario thinking and Chicken-Littleism is the basis of your technology policy, guess what? People respond to incentives and they flee.Hatred of big tech is like the one great bipartisan, unifying theme of this Congress, if anything. But at the end of the day, I think everyone is thankful that those companies are headquartered in the United States and not Beijing, Brussels, or anywhere else. It's interesting, the national security aspect, my little amateurish thought experiment would be, what would be our reaction, and what would be the reaction in Washington if, in November, 2022, instead of it being a company, an American company with a big investment from another American company having rolled out ChatGPT, what if it would've been Tencent, or Alibaba, or some other Chinese company that had rolled this out, something that's obviously a leap forward, and they had been ahead, even if they said, “Oh, we're two or three years ahead of America,” it would've been bigger than Sputnik, I think.People are probably tired of hearing about AI—hopefully not, I hope they'll also listen to this podcast—but that would all we would be talking about. We wouldn't be talking about job loss, and we wouldn't be talking about ‘The Terminator,' we'd be talking about the pure geopolitical terms that the US has suffered a massive, massive defeat here and who's to blame? What are we going to do? And anybody at that moment who would've said, “We need to launch cruise missile strikes on our own data centers” for fear. . . I mean! And I think you're right, the national security component, extremely important here.In fact, I stole your little line about “Sputnik moment,” Jim, when I testified in front of the House Oversight Committee last month and I said, “Look, it would've been a true ‘Sputnik moment,' and instead it's those other countries that are left having the Sputnik moment, right? They're wondering, ‘How is it that, once again, the United States has gotten out ahead on digital and computational-based technologies?'” But thank God we did! And as I pointed out in the committee room that day, there's a lot of people who have problems with technology companies in Congress today. Hatred of big tech is like the one great bipartisan, unifying theme of this Congress, if anything. But at the end of the day, I think everyone is thankful that those companies are headquartered in the United States and not Beijing, Brussels, or anywhere else. That's just a unifying theme. Everybody in the committee room that day nodded their head, “Yes, yes, absolutely. We still hate them, but we're thankful that they're here.” And that then extends to AI: Can the next generation of companies that they want to bring to Congress and bash and pull money from for their elections, can they once again exist in the United States?Regulatory risk (16:10)So whether it's that working group report, or what else you see in Congress, what are a couple, three areas where you're concerned, where there still seems to be some sort of regulatory momentum?Let's divide it into a couple of chunks here. First of all, at the federal level, Congress is so damn dysfunctional that I'm not too worried that even if they have bad ideas, they're going to pursue them because they're just such a mess, they can't get any basic things done on things like baseline privacy legislation, or driverless car legislation, or even, hell, the budget and the border! They can't get basics done!I think it's a big positive that one, while they're engaging in dysfunction, the technology is evolving. And I hope, if it's as important as I think you and I think, more money will be invested, we'll see more use cases, it'll be obvious—the downsides of screwing up the regulation I think will be more obvious, and I think that's a tailwind for this technology.We're in violent agreement on that, Jim, and of course this goes by the name of “the pacing problem,” the idea that technology is outpacing law in many ways, and one man's pacing problem is another man's pacing benefit, in my opinion. There's a chance for technology to prove itself a little bit. That being said, we don't live in a legislative or regulatory vacuum. We already have in the United States 439 government agencies and sub-agencies, 2.2 million employees just at the federal level. So many agencies are active right now trying to get their paws on artificial intelligence, and some of them already have it. You look at the FDA [Food and Drug Administration], the FAA [Federal Aviation Administration], NHTSA [National Highway Traffic Safety Administration], I could go all through the alphabet soup of regulatory agencies that are already trying to regulate or overregulating AI right now.Then you have the Biden administration, who's gone out and done a lot of cheerleading in favor of more aggressive unilateral regulation, regardless of what Congress says and basically says, “To hell with all that stuff about Chevron Doctrine and major questions, we're just going to go do it! We're at least going to jawbone a lot and try to threaten regulation, and we're going to do it in the name of ‘algorithmic fairness,'” which is what their 100-plus-page executive order and their AI Bill of Rights says they're all about, as opposed to talking about AI opportunity and benefits—it's all misery. And it's like, “Look at how AI is just a massive tool of discrimination and bias, and we have to do something about it preemptively through a precautionary principle approach.” So if Congress isn't going to act, unfortunately the Biden administration already is and nobody's stopping them.But that's not even the biggest problem. The biggest problem, going back to the point that there are 730-plus bills pending in the US right now, the vast majority of them are state and local. And just last Friday, governor Jared Polis of Colorado signed into law the first major AI regulatory measure in Colorado, and there's a bigger and badder bill pending right now in California, there's 80 different bills pending in New York alone, and any half of them would be a disaster.I could go on down the list of troubling state patchwork problems that are going to develop for AI and ML [Machine Learning] systems, but the bottom line is this: This would be a complete and utter reversal of the winning formula that Congress and the Clinton administration gave us in the 1990s, which was a national—a global framework for global electronic commerce. It was very intentionally saying, “We're going to break with the Analog Era disaster, we're going to have a national framework that's pro-freedom to innovate, and we're going to make sure that these meddlesome barriers do not develop to online speech and commerce.” And yet, here with AI, we are witnessing a reversal of that. States are in the lead, and again, like I said, localities too, and Congress is sitting there and is the dysfunctional soup that it is saying, “Oh, maybe we should do something to spend a little bit more money to promote AI.” Well, we can spend all the money we want, but we can end up like Europe who spends tons of money on techno-industrial policies and gets nothing for it because they can't get their innovation culture right, because they're regulating the living hell out of digital technology.So you want Congress to take this away from the states?I do. I do, but it's really, really hard. I think what we need to do is follow the model that we had in the Telecommunications Act of 1996 and the Internet Tax Freedom Act of 1998. We've also had moratoriums, not only through the Internet Tax Freedom Act, but through the Commercial Space Amendments having to do with space commercial travel and other bills. Congress has handled the question of preemption before and put moratoria in place to say, “Let's have a learning period before we go do stupid things on a new technology sector that is fast moving and hard to understand.” I think that would be a reasonable response, but again, I have to go back to what we just talked about, Jim, which is that there's no chance of us probably getting it. There's no appetite in it. Not any of the 111 bills pending in Congress right now says a damn thing about state and local regulation of technology!Is the thrust of those federal bills, is it the kinds of stuff that you're generally worried about?Mostly, but not entirely. Some of it is narrower. A lot of these bills are like, “Let's take a look at AI and. . . fill in the blank: elections, AI and jobs, AI and whatever.” And some of them, on the merits, not terrible, others, I have concerns, but it's certainly better that we take a targeted sectoral approach to AI policy and regulation than having the broad-based, general-purpose stuff. Now, there are broad-based, general-purpose measures, and here's what they do, Jim: They basically say, “Look, instead of having a whole cloth new regulatory approach, let's build on the existing types of approaches being utilized in the Department of Commerce, namely through our NIST [National Institute of Standards and Technology], and NTIA [National Telecommunications and Information Administration] sub-agencies there. NIST is the National Standards Body, and basically they develop best practices through something called the AI Risk Management Framework for artificial intelligence development—and they're good! It's multi-stakeholder, it's bottom up, it's driven by the same principles that motivated the Clinton administration to do multi-stakeholder processes for the internet. Good model. It is non-regulatory, however. It is a consensus-based, multi-stakeholder, voluntary approach to developing consensus-based standards for best practices regarding various types of algorithmic services. These bills in Congress—and there's at least five of them that I count, that I've written about recently—say, “Let's take that existing infrastructure and give it some enforcement teeth. Let's basically say, ‘This policy infrastructure will be converted into a quasi-regulatory system,'” and there begins the dangerous path towards backdoor regulation of artificial intelligence in this country, and I think that's the most likely model we'll get. Like I said, five models, legislative models in the Senate alone that would do that to varying degrees.AI policy under Trump (22:29)Do you have any feel for what a Trump administration would want to do on this?I do, because a month before the Trump administration left office, they issued a report through the Office of Management and Budget (OMB), and it basically laid out for agencies a set of principles for how it should evaluate artificial intelligence systems, both that are used by the government or that they regulate in the private sector, and it was an excellent set of principles. It was a restatement of the importance of policy, forbearance and humility. It was a restatement of a belief in cost-benefit analysis and identifying not only existing regulatory capacity to address these problems, but also non-regulatory mechanisms or best practices or standards that could address some of these things. It was a really good memo. I praised it in a piece that I wrote just before the Trump administration left. Now, of course, the Trump administration may change.Yes, and also, the technology has changed. I mean, that was 2020 and a lot has happened, and I don't know where. . . . I'm not sure where all the Republicans are. I think some people get it. . .I think the problem, Jim, is that, for the Republican Party, and Trumpian conservatives, in particular, they face a time of choosing. And what I mean by this is that they have spent the last four to six years—and Trump egged this on—engaging in nonstop quote-unquote “big tech bashing” and making technology companies in the media out to be, as Trumps calls them, “the enemy of the American people.” And so many hearings now are just parading tech executives and others up there to be beaten with a stick in front of the public, and this is the new thing. And then there's just a flood of bills that would regulate traditional digital technologies, repeal things like Section 230, which is liability protection for the tech sector, and so on, child safety regulations.Meanwhile, that same Republican Party and Mr. Trump go around hating on Joe Biden in China. If it's one thing they can't stand more than big tech, it's Joe and China! And so, in a sense, they've got to choose, because their own policy proposals on technology could essentially kneecap America's technology base in a way that would open up the door to whether it's what they fear in the “woke DEI policies” of Biden or the CCP's preferred policy agenda for controlling computation in the world today. Choose two, you don't get all three. And I think this is going to be an interesting thing to watch if Mr. Trump comes back into office, do they pick up where that OMB memo left off, or do they go right back to beating that “We've got to kill big tech by any means necessary in a seek-and-destroy mission, to hell with the consequences.” And I don't know yet.Faster, Please! is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit fasterplease.substack.com/subscribe

S03.E04 - L'invitée de Trench Tech : Françoise Soulié-Fogelman, ex-membre du Ai High Level Experts Group de la Commission Européenne (aux prémisses de l'Ai Act), et conseillère scientifique du Hub France iA.Ce nouvel épisode nous fait voyager dans le passé ET dans le futur de l'Intelligence Artificielle.Françoise a été l'une des toutes premières chercheuses françaises en iA et a même encadré la thèse du jeune Yann le Cun... au milieu des années 80 ! Mais elle a aussi contribué à poser les fondations de l'Ai Act, s'est confrontée aux lobbys des Big Tech à Bruxelles et se trouve aux avants-postes des évolutions à attendre des technologies actuelles en iA... Bref, il y a du matos au menu aujourd'hui !

Why attend the Texas Public Safety Robotics Summit? Hello Smart Firefighting Community! Welcome to another episode of covering real world innovations via interviews with fire service and technology industry experts that empower YOU to develop your very own Smart Firefighting strategy! We're taking a quick pause from our 16 part FRST Challenge Mini Series to share how attending the Texas Public Safety Robotics Summit (March 4-7, 2024) can help you stay updated on the latest technology, training methods, and best practices in public safety robotics. In this episode: Why are standard test methods crucial in the drone industry? How does the Texas Public Safety Robotics Summit provide a platform for public safety professionals to learn, share knowledge, and network with industry experts? Why is sharing knowledge and resources essential for the advancement of the industry and the improvement of public safety operations? Find out from Preston Culver - an Adjunct Associate Research Scientist at Johns Hopkins University and a Summit organizer. Former firefighter, lead drone pilot & videographer for the Austin Fire Department, Preston now works on the Standard Test Methods Response Robot Capabilities project at NIST (National Institute of Standards and Technology) via an adjunct research position at Johns Hopkins University. This project focuses on standardizing the test measures utilized in testing both pilots & technologies, geared specifically for emergency response. Preston is also one of the primary orchestrators of the annual Texas Public Safety Robotics Summit. From content creation to marketing to being the MC at the event, Preston is involved in almost every aspect of the 4-day drone summit that continues to be an industry favorite each year. So click play now to hear what he has to share, and register for the summit here! Head to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.smartfirefighting.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to discover how SFF accelerates innovation for emergency responders, to find out when our next event is, or review our curated resources! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn

Criminals have developed efficient business models that make it cost-effective to attack even small enterprises.No company is too small, and the need for awareness and understanding of the evolving threat landscape, particularly with generative AI is at an all-time high.But simply training staff not to click on this or not to write down their password on post-its isn't going to be enough.Our guest, Dr. James Norrie, CEO of CyberconIQ, realized that the key to changing behavior is through personalized education—and by understanding individuals unique characteristics, preferences, and vulnerabilities it becomes possible to tailor educational interventions.Now with a rapid evolution in the marketplace, emerging SEC guidelines, and changes to NIST (National Institute of Standards and Technology) everybody is beginning to realize that when technology has created a problem, it can't always be used to solve it.Key Takeaways:The important difference between raising capital and running a business—they're both full time jobs.Why the recent SEC Guidelines requiring the disclosure of material cybersecurity incidents and risk management, strategy and governance by public companies is important for all SaaS companies to map to. Why they developed free training at techellect.com to enhance confidence in AI applications. Other resources to check out:Interview with Vinay Bhagat, Founder and CEO of TrustRadius who publish a yearly report about how B2B buyer behavior is changing.The Lead Gen Mistake I Guarantee You're Making – how to create content that better identifies intent from today's b2b buyer.And, if you want an outside look at your content with actionable advice, take advantage of our Content Audit. Valued at $20K in free consulting.

This week I'm talking about The NIST (National Institute of Standards and Technology) investigation lifecycle. The NIST investigation lifecycle encompasses a series of well-defined steps, starting from problem identification and scoping, through data collection and analysis, to the formulation of conclusions and recommendations. This comprehensive framework ensures that investigations conducted by NIST are rigorous, unbiased, and provide reliable results that can be used to inform decision-making, improve practices, and promote innovation across a wide range of disciplines. More about it...

The NIST Cybersecurity Framework (CSF) is an integrated set of standards, best practices, and guidelines created by the NIST (National Institute of Standards and Technology) to assist organizations manage and improve their cybersecurity risk management processes. The framework provides a flexible and voluntary approach that organizations can use to assess and strengthen their cybersecurity posture by outlining a series of steps and activities across core functions. It provides a set of categories and subcategories for each function, along with a set of informative references that can help organizations implement the framework in their specific context. It serves as a common language for organizations to communicate and collaborate on cybersecurity risk management. NIST Cybersecurity Framework 2.0 NIST Cybersecurity Framework (CSF) 2.0 is the latest revision of NIST CSF 1.1 that includes the six core functions: Govern, Identify, Protect, Detect, Respond, and Recover. These functions help organizations manage and reduce cybersecurity risk more quickly and effectively. Govern is a new core function introduced to NIST CSF 2.0; it was formerly a category of identify function. The objective of the NIST CSF 2.0 framework is to emphasize the importance of governance within organizations and supply chain risk management, assisting organizations in mitigating third-party risks. The framework incorporates several updates and enhancements based on feedback from stakeholders, cybersecurity experts, and industry partners. Its purpose is to enhance consistency with national and international cybersecurity standards and practices, provide clarity, and manage changes in technology and risks. View More: NIST Cybersecurity Framework 2.0

In this episode we explore the relationship between our gut and brain health with returning guest Dr Sabine Hazan. Where is the  research at with the gut/brain axis? Did you miss Episode 16?Check it out HERE This episode is brought to you by Namawell, the Best cold press juicers on the planet with the revolutionary J2 being the most amazing Bulk juicing champion. To get your Nama juicer at a discount, use code CHANTAL10 for 10% off! www.namawell.com  Check out my 5 stars retreat In Portugal, May 5th to 10th 2023. A beautiful blend of holiday with holistic therapies and yoga with amazing plant based food. https://www.liveleanhealth.com/luxret... Sabine Hazan, MD As a specialist in gastroenterology, internal medicine, and hepatology, Dr. Hazan has used her expertise in many regards over the last two decades. Dr. Hazan is also the Founder & CEO of Progena Laboratory  the Malibu Specialty Center and Ventura Clinical Trials, where she conducts and oversees clinical trials for cutting-edge research on various medical issues. Dr. Hazan is a top clinical investigator for multiple pharmaceutical companies, and also acts as the series editor of Practical Gastroenterology on the microbiome, a peer review journal that reaches 18,000 gastroenterologists. She was and is a speaker for World Congress of Digestive Disease, MAGI, Microbiome Congress, International Drug Discovery Science and Technology Conference and NIST (National Institute of Standards and Technology)Check out  www.microbiomeresearchfoundation.org to continue to support good research. All publications are available on: https://progenabiome.com/publicationsThe BMJ Gatro paper is available HERE She is also the author of : Let's Talk Shit  a book that covers disease, digestion and feral transplants Follow Dr Hazan's personal page  on Instagram  as well as her book's Let's Talk Shit To visit the clinic and make appointments:Sabine Hazan Steinberg MDGastroenterology/Hepatology/Internal MedicineCEO  Ventura Clinical trialsCEO PROGENABIOMECEO Malibu Specialty Center1835 KNOLL Dr, Ventura, CA, 9300328990 PCH suite 205, Malibu, CA, 90265www.venturaclinicaltrials.comwww.progenabiome.comTel: 8053390549Fax: 8056421540 

Instead of emphasizing on "how to" design solution and execution, the NIST (National Institute of Standards and Technology) cloud computing reference architecture concentrates on the requirements of "what" cloud services must offer. The reference architecture aims to make it easier to comprehend the operational intricacies of cloud computing. Thank you for watching this video, For more details or free demo with out expert write into us at sales@infosectrain.com Subscribe to our channel to get video updates. Hit the subscribe button above. Facebook: https://www.facebook.com/Infosectrain/ Twitter: https://twitter.com/Infosec_Train LinkedIn: https://www.linkedin.com/company/infosec-train/ Instagram: https://www.instagram.com/infosectrain/ Telegram: https://t.me/infosectrains

In this week's episode, Anna (https://twitter.com/annarrose) and Kobi Gurkan (https://twitter.com/kobigurk) speak with Dmitry Khovratovich (https://twitter.com/khovr), researcher at the Ethereum Foundation (http://ethereum.foundation/), Dusk Network (https://dusk.network), and ABDK Consulting (https://www.abdk.consulting) and JP Aumasson (https://twitter.com/veorq) CSO at Taurus (https://www.taurushq.com/). This episode compares symmetric and asymmetric cryptography as well as a deep dive into hash functions. They explore what using Hash Functions tries to achieve, the process of developing and improving hash functions, and what it means for a hash function to be zk friendly. Here are some additional links for this episode: Dmitry Khovratovich Twitter (https://twitter.com/khovr) Ethereum Foundation (http://ethereum.foundation/) Dusk Network (https://dusk.network/) ABDK Consulting (https://www.abdk.consulting/) JP Aumasson Twitter (https://twitter.com/veorq) JP Aumasson Website (https://www.aumasson.jp/) Taurus Twitter (https://twitter.com/taurus_hq) Taurus Website (https://www.taurushq.com/) ZK8: New Directions in ZK hashing - Dmitry Khovratovich - Ethereum Foundation (https://www.youtube.com/watch?v=SXnb7T9YATs) ZK8: On ZK hashes - JP Aumasson - Taurus (https://www.youtube.com/watch?v=w-4fzHpd4dk) ZK7: Security of ZKP projects: same but different - JP Aumasson - Taurus (https://www.youtube.com/watch?v=be9pbCKNB28) Serious Cryptography - JP Aumasson, 2017 (https://nostarch.com/seriouscrypto) Too Much Crypto - JP Aumasson, 2019 (https://eprint.iacr.org/2019/1492.pdf) Crypto Dictionary - JP Aumasson (https://twitter.com/cryptolexicon) Scalable, transparent, and post-quantum secure computational integrity - Ben-Sasson, Bentov, Horesh, Riabzev, 2018, page 71 (https://eprint.iacr.org/2018/046.pdf) NIST National Institute of Standards and Technology (https://www.nist.gov) BLAKE2 (https://www.blake2.net) Poseidon Network (https://www.poseidon.network) SHA-3 (https://csrc.nist.gov/projects/hash-functions/sha-3-project) Reinforced Concrete - Maharramov, 2021 (https://dusk.network/news/reinforced-concrete-paper-release) Nova - Recursive Zero-Knowledge Arguments from Folding Schemes - Kothapalli, Setty, Tzialla, 2021 (https://eprint.iacr.org/2021/370) ZK8: Fantastic Beasts: unfolding ZK hardware - Omer Shlomovits - Ingonyama (https://www.youtube.com/watch?v=0q0BAO18Hu0&feature=youtu.be) Find the Aleo repo here github.com/aleohq (github.com/aleohq). Today's episode is sponsored by Anoma. Anoma is a set of protocols that enable self sovereign coordination. Anoma's first fractal instance Namada (https://namada.net/) is planned for later in 2022, and it focuses on enabling shielded transfers for any assets, with a few second transaction latency and near zero fees. Visit anoma.net for more information. If you like what we do: * Find all our links here! @ZeroKnowledge | Linktree (https://linktr.ee/zeroknowledge) * Subscribe to our podcast newsletter (https://zeroknowledge.substack.com) * Follow us on Twitter @zeroknowledgefm (https://twitter.com/zeroknowledgefm) * Join us on Telegram (https://zeroknowledge.fm/telegram) * Catch us on Youtube (https://zeroknowledge.fm/) * Head to the ZK Community Forum (https://community.zeroknowledge.fm/) * Support our Gitcoin Grant (https://zeroknowledge.fm/gitcoin-grant-329-zkp-2)

Summary Machine learning is a data-hungry approach to problem solving. Unfortunately, there are a number of problems that would benefit from the automation provided by artificial intelligence capabilities that don’t come with troves of data to build from. Christopher Nguyen and his team at Aitomatic are working to address the "cold start" problem for ML by letting humans generate models by sharing their expertise through natural language. In this episode he explains how that works, the various ways that we can start to layer machine learning capabilities on top of each other, as well as the risks involved in doing so without incorporating lessons learned in the growth of the software industry. Announcements Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it from idea to delivery. Predibase is a low-code ML platform without low-code limits. Built on top of our open source foundations of Ludwig and Horovod, our platform allows you to train state-of-the-art ML and deep learning models on your datasets at scale. Our platform works on text, images, tabular, audio and multi-modal data using our novel compositional model architecture. We allow users to operationalize models on top of the modern data stack, through REST and PQL – an extension of SQL that puts predictive power in the hands of data practitioners. Go to themachinelearningpodcast.com/predibase today to learn more and try it out! Your host is Tobias Macey and today I’m interviewing Christopher Nguyen about how to address the cold start problem for ML/AI projects Interview Introduction How did you get involved in machine learning? Can you describe what the "cold start" or "small data" problem is and its impact on an organization’s ability to invest in machine learning? What are some examples of use cases where ML is a viable solution but there is a corresponding lack of usable data? How does the model design influence the data requirements to build it? (e.g. statistical model vs. deep learning, etc.) What are the available options for addressing a lack of data for ML? What are the characteristics of a given data set that make it suitable for ML use cases? Can you describe what you are building at Aitomatic and how it helps to address the cold start problem? How have the design and goals of the product changed since you first started working on it? What are some of the education challenges that you face when working with organizations to help them understand how to think about ML/AI investment and practical limitations? What are the most interesting, innovative, or unexpected ways that you have seen Aitomatic/H1st used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Aitomatic/H1st? When is a human/knowledge driven approach to ML development the wrong choice? What do you have planned for the future of Aitomatic? Contact Info LinkedIn @pentagoniac on Twitter Google Scholar Parting Question From your perspective, what is the biggest barrier to adoption of machine learning today? Closing Announcements Thank you for listening! Don’t forget to check out our other shows. The Data Engineering Podcast covers the latest on modern data management. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you’ve learned something or tried out a project from the show then tell us about it! Email hosts@themachinelearningpodcast.com) with your story. To help other people find the show please leave a review on iTunes and tell your friends and co-workers Links Aitomatic Human First AI Knowledge First World Symposium Atari 800 Cold start problem Scale AI Snorkel AI Podcast Episode Anomaly Detection Expert Systems ICML == International Conference on Machine Learning NIST == National Institute of Standards and Technology Multi-modal Model SVM == Support Vector Machine Tensorflow Pytorch Podcast.__init__ Episode OSS Capital DALL-E The intro and outro music is from Hitman’s Lovesong feat. Paola Graziano by The Freak Fandango Orchestra/CC BY-SA 3.0

Thank you for tuning in for another episode of Life's Best Medicine. Dr. Sabine Hazan is a specialist in gastroenterology, internal medicine, and hepatology. Dr. Hazan is the Founder and CEO of the Malibu Specialty Center and Ventura Clinical Trials. Dr. Hazan is a top clinical investigator for multiple pharmaceutical companies, and also acts as the series editor of Practical Gastroenterology on the microbiome, a peer review journal that reaches 18,000 gastroenterologists. She was and is a speaker for World Congress of Digestive Disease, MAGI, Microbiome Congress, International Drug Discovery Science and Technology Conference and NIST (National Institute of Standards and Technology). In this discussion, Drs. Brian and Sabine talk about fecal transplants, the effects of stress on the microbiome and the effects of lifestyle changes on stress, regional varieties of microbiome organisms, what the microbiome is doing during COVID, Dr. Sabine's treatment and prevention protocols for COVID, hydroxychloroquine, the evolution of COVID treatment, the role of vitamin D in the microbiome, ivermectin, the need for doctors with varying hypotheses to come to the table to discuss their findings, and Dr. Sabine's current research projects. Life's Best Medicine According to Sabine: “I love my job when I'm doing fun things and evaluating microbes and seeing improvement of a disease in a patient. To me, that is what thrills me; that's so empowering.” Thank you for listening. Have a blessed day and stay healthy!   Links:   Dr. Sabine Hazan: Progenabiome Twitter Ventura Clinical Trials   Dr. Brian Lenzkes:  Website Low Carb MD Podcast   Simply Snackin'

In this episode we will explore the relationship between our health and our gut; mostly related to the latest Covid infections. Dr Hazan is joining me today to speak about her findings in correlation of the microbiome and C19 and how her research is showing how important our gut health truly is in fighting diseases. Sabine Hazan, MD As a specialist in gastroenterology, internal medicine, and hepatology, Dr. Hazan has used her expertise in many regards over the last two decades. Dr. Hazan is also the Founder & CEO of Progena Laboratory  the Malibu Specialty Center and Ventura Clinical Trials, where she conducts and oversees clinical trials for cutting-edge research on various medical issues. Dr. Hazan is a top clinical investigator for multiple pharmaceutical companies, and also acts as the series editor of Practical Gastroenterology on the microbiome, a peer review journal that reaches 18,000 gastroenterologists. She was and is a speaker for World Congress of Digestive Disease, MAGI, Microbiome Congress, International Drug Discovery Science and Technology Conference and NIST (National Institute of Standards and Technology)Check out  www.microbiomeresearchfoundation.org to continue to support good research. All publications are available on: https://progenabiome.com/publicationsThe BMJ Gatro paper is available HERE She is also the author of : Let's Talk Shit  a book that covers disease, digestion and feral transplants Follow Dr Hazan's personal page  on Instagram  as well as her book's Let's Talk Shit To visit the clinic and make appointments:Sabine Hazan Steinberg MDGastroenterology/Hepatology/Internal MedicineCEO  Ventura Clinical trialsCEO PROGENABIOMECEO Malibu Specialty Center1835 KNOLL Dr, Ventura, CA, 9300328990 PCH suite 205, Malibu, CA, 90265www.venturaclinicaltrials.comwww.progenabiome.comTel: 8053390549Fax: 8056421540  

Today on the Gut Health Reset Podcast, we are diving into a discussion on your microbiome and obesity with returning guest Dr. Sabine Hazan! The gut microbiome plays a key role in how your body retains weight, much more than most people realize. In fact, Dr. Hazen shares a relevant study on the microbiomes of mice, and how the smallest differences in gut bacteria radically affected the weight and obesity of these mice.In this episode, we will discuss fatty liver disease, food sensitivities, what you should be eating, gut bacteria, and more with Dr. Hazan! - We answer these questions:- How is obesity linked to the microbiome?- Are there any types of bacteria that can help you lose weight?- How should fatty liver be treated?- Why you have to prioritize eating whole foods and smaller portions- What you should know about oat sensitivities- And more!-Schedule a consultation with Alexis: www.altfammed.comSupplements: Prebiotics: https://drannmariebarter.com/product/binding-fiber-support-capsules/ - About Dr. Sabine Hazan:Dr. Sabine Hazan is a renowned gastroenterologist and researcher, creator of ProgenaBiome, a state-of-the-art genetic research sequencing laboratory, and author of Let's Talk Sh!t. Recently, she released a groundbreaking study on Covid and how it can alter the microbiome. As a specialist in gastroenterology, internal medicine, and hepatology, Dr. Hazan has used her expertise in many regards over the last two decades. Dr. Hazan is also the Founder & CEO of the Malibu Specialty Center and Ventura Clinical Trials, where she conducts and oversees clinical trials for cutting-edge research on various medical issues. Dr. Hazan is a top clinical investigator for multiple pharmaceutical companies, and also acts as the series editor of Practical Gastroenterology on the microbiome, a peer review journal that reaches 18,000 gastroenterologists. She was and is a speaker for World Congress of Digestive Disease, MAGI, Microbiome Congress, International Drug Discovery Science and Technology Conference and NIST (National Institute of Standards and Technology). Her book: https://amzn.to/3AjNG4B Her website: https://progenabiome.com/ -Subscribe for more gut health content and share this podcast with a friend! Take a screenshot of this episode and tag Dr. Ann-Marie Barter:http://instagram.com/drannmariebarter-Dr. Ann-Marie Barter is a Functional Medicine and Chiropractic Doctor at Alternative Family Medicine & Chiropractic. She is the clinic founder of Alternative Family Medicine & Chiropractic that has two offices: one in Longmont and one in Denver. They treat an array of health conditions overlooked or under-treated by conventional medicine, called the "grey zone". https://altfammed.com/https://drannmariebarter.com/

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Today on the Gut Health Reset Podcast, we are diving into a discussion on your microbiome and covid infection with Dr. Sabine Hazan! Dr. Hazan has tested, researched, and treated over 2,000 patients with COVID, spanning across all ages and genders, some vaccinated, some not. The microbiome provides the answers to what your gut says about you - how to treat Covid and how to understand why some people get sick and others do not.In this episode, we will discuss viral infection, testing methods, the gut microbiome, bio-individuality, and more with Dr. Sabine Hazan! - We answer these questions:- How does covid affect the microbiome?- Why should we move beyond a “one size fits all” approach to medicine?- Why is blood testing and antibody testing for covid so important?- What can we do to boost our helpful gut bacteria?- Why does bio-individuality matter? - And more!-Enjoy our previous episode with Dr. Mark Pimentel: https://podcasts.apple.com/us/podcast/the-ultimate-guide-to-overcoming-ibs-with-dr-mark/id1478167193?i=1000540864777 Schedule a consultation with Alexis:www.altfammed.comSupplements:Prebiotics: https://drannmariebarter.com/product/binding-fiber-support-capsules/ - About Dr. Sabine Hazan:Dr. Sabine Hazan is a renowned gastroenterologist and researcher, creator of ProgenaBiome, a state-of-the-art genetic research sequencing laboratory, and author of Let's Talk Sh!t. Recently, she released a groundbreaking study on Covid and how it can alter the microbiome. As a specialist in gastroenterology, internal medicine, and hepatology, Dr. Hazan has used her expertise in many regards over the last two decades. Dr. Hazan is also the Founder & CEO of the Malibu Specialty Center and Ventura Clinical Trials, where she conducts and oversees clinical trials for cutting-edge research on various medical issues. Dr. Hazan is a top clinical investigator for multiple pharmaceutical companies, and also acts as the series editor of Practical Gastroenterology on the microbiome, a peer review journal that reaches 18,000 gastroenterologists. She was and is a speaker for World Congress of Digestive Disease, MAGI, Microbiome Congress, International Drug Discovery Science and Technology Conference and NIST (National Institute of Standards and Technology). Her book: https://amzn.to/3AjNG4B Her website: https://progenabiome.com/ -Subscribe for more gut health content and share this podcast with a friend! Take a screenshot of this episode and tag Dr. Ann-Marie Barter:http://instagram.com/drannmariebarter-Dr. Ann-Marie Barter is a Functional Medicine and Chiropractic Doctor at Alternative Family Medicine & Chiropractic. She is the clinic founder of Alternative Family Medicine & Chiropractic that has two offices: one in Longmont and one in Denver. They treat an array of health conditions overlooked or under-treated by conventional medicine, called the "grey zone". https://altfammed.com/https://drannmariebarter.com/

Geçtiğimiz aylarda çıkan #LinkedIn veri sızıntısı iddialarının ardından bu hafta, 700 milyon LinkedIn kullanıcısının verileri bir hacker forumunda satışa çıktı. İlanı koyan kişi, 1 milyon kullanıcı verisini ücretsiz olarak yayımladı. Yayımlanan veriler içerisinde e-posta adresleri, isim-soyisim, telefon numaraları, herkese açık olmayan CV bilgileri, coğrafi konumlar vb. bilgiler yer alıyor. Diğer yandan geçtiğimiz günlerde #NIST (National Institute of Standards and Technology), ABD başkanı Joe Biden'ın ülkenin güvenliğini iyileştirmeyi amaçlayan #siber güvenlik kararnamesi (Executive Order - EO) doğrultusunda bir doküman yayımlayarak kritik yazılımların tanımlarını yaptı. #NIST'in tanımlamalarına göre aşağıdaki kriterlere sahip olan yazılımlar kritik yazılım olarak değerlendirildi: -Yüksek yetkili, ayrıcalıklı çalışacak veya ayrıcalıkları yönetecek şekilde tasarlanmışsa, -Ağ veya bilgi işlem kaynaklarına doğrudan veya ayrıcalıklı erişime sahipse, -Verilere veya operasyonel teknolojiye erişimi yönetmek için tasarlanmışsa, -Kritik işlemlerden/alt yapılardan sorumluysa, -Sıradan yetkilendirmenin dışında çalışıyorsa. Görüntülü yayına youtube.com/siberingunlugu adresi üzerinden ulaşabilirsiniz. Keyifli dinlemeler! #siberingunlugu

Across the United States, there are many ‘smart city' projects already completed with a multitude ahead in the multi $billion industry. Elaina Farnsworth, CEO, The NEXT Education, an expert on all things transportation, visited the show to share her insights on what's happening in the exciting worlds of smart city tech, Intelligent Transportation Systems (ITS) and a myriad of other related topics. Looking for opportunity? Elaina explains why, “making sure that the best technologies are married with the best people” makes sense. Hear how that happens.Rick Jennings closes down the episode with a Crazy Bids that will have Californians shouting, “We're number one, we're number one!”All of that and more. A lot more!Our Guest:Elaina FarnsworthCEOThe NEXT EducationOn Twitter: @ElainaFarnswort, @The_NEXT_EdResources:The NEXT Educationhttps://thenexted.com/NIST: National Institute of Standards and Technologyhttps://www.nist.gov/NIST Vehicle Teleoperation Forumhttps://www.nist.gov/news-events/events/2020/11/nist-vehicle-teleoperation-forum

Cyber-Resilience for Small Business: An Overview of the NIST Cybersecurity Framework - October 12, 2020 Now more than ever, Small Business is under attack. From the COVID-19 pandemic to global digitalization to hackers finding easy targets of Small Business owners, their families and their employees working at the store, office, or at home. As October is National Cybersecurity Awareness Month (NCAM), W3 Consulting has joined as a Champion on behalf of NCAM's sponsors, National Cyber Security Alliance (NCSA) and Cybersecurity & Infrastructure Security Agency (CISA), to bring timely information to Small Business about how to protect themselves technologically online and offline. Listen to learn the five parts of the NIST (National Institute of Standards and Technology) Cybersecurity Framework from President/CEO of W3 Consulting Ray Sidney-Smith. You'll walk away with a good understanding of the cybersecurity framework and practices and tools you can use immediately to work safer on and off the Web. --- Each week, President of W3 Consulting and Managing Director of W3C Web Services (https://web.w3cinc.com/) Ray Sidney-Smith broadcasts live to update you on the latest small business digital marketing and business productivity technology updates you need to be effective. To see the prior weeks' videos, visit https://www.youtube.com/playlist?list=PLwbHNIcsaJ-jX25DQpjGkRkCqZZGmCYbQ. Come with your Small Business digital marketing and related questions! For future Web and Beyond Live streams, use https://w3cinc.com/webandbeyondlive to find the latest, upcoming event! Subscribe to W3 Consulting to get notified of new videos and livestreams: https://w.w3cinc.com/subscribe-youtube For more content from W3 Consulting, check out our podcast: https://webandbeyondcast.com Follow W3 Consulting on LinkedIn: https://www.linkedin.com/company/w3consulting Follow W3 Consulting on Twitter: https://www.twitter.com/w3consulting Like W3 Consulting on Facebook: https://www.facebook.com/w3consultinginc Follow W3 Consulting on Instagram: https://www.instagram.com/w3consulting --- Send in a voice message: https://anchor.fm/webandbeyondlive/message

https://www.youtube.com/watch?v=UVc6FWjSWHI Cyber-Resilience for Small Business: An Overview of the NIST Cybersecurity Framework Listen/watch to learn the five parts of the NIST (National Institute of Standards and Technology) Cybersecurity Framework from President/CEO of W3 Consulting Ray Sidney-Smith. You’ll walk away with a good understanding of the cybersecurity framework and practices and tools you can use immediately to work safer on and off the Web. Now more than ever, Small Business is under attack. From the COVID-19 pandemic to global digitalization to hackers finding easy targets of Small Business owners, their families and their employees working at the store, office, or at home. As October is National Cybersecurity Awareness Month (NCAM), W3 Consulting has joined as a Champion on behalf of NCAM’s sponsors, National Cyber Security Alliance (NCSA) and Cybersecurity & Infrastructure Security Agency (CISA), to bring timely information to Small Business about how to protect themselves technologically online and offline. (If you’re reading this in a podcast directory/app, please visit https://webandbeyondcast.com/ for clickable links and the full show notes and transcript of this cast.) If you'd like to discuss this episode, please click here to leave a comment down below (this jumps you to the bottom of the post), or feel free to contact me here about any other questions or comments. Each week, President of W3 Consulting and Managing Director of W3C Web Services (https://web.w3cinc.com/) Ray Sidney-Smith broadcasts live to update you on the latest small business digital marketing and business productivity technology updates you need to be effective.  To see the prior weeks' videos, visit https://www.youtube.com/playlist?list=PLwbHNIcsaJ-jX25DQpjGkRkCqZZGmCYbQ. Come with your Small Business digital marketing and related questions! For future Web and Beyond Live streams, use https://w3cinc.com/webandbeyondlive to find the latest, upcoming event! Subscribe to W3 Consulting to get notified of new videos and livestreams: https://w.w3cinc.com/subscribe-youtube For more content from W3 Consulting, check out our podcast: https://webandbeyondcast.com Follow W3 Consulting on LinkedIn: https://www.linkedin.com/company/w3consulting  Follow W3 Consulting on Twitter: https://www.twitter.com/w3consulting Like W3 Consulting on Facebook: https://www.facebook.com/w3consultinginc Follow W3 Consulting on Instagram: https://www.instagram.com/w3consulting In this Cast Ray Sidney-Smith, Host Show Notes Resources we mention, including links to them will be provided here. Please listen to the episode for context. Small Business Cybersecurity Corner | NIST  Official pfSense Hardware, Appliances, and Security Gateways  Results on google.com | Spyse  PortaPow – Data security and charging accessories  Expert In-Depth Research of Safety & Security Products - SafeHome.org  CreditSignal (Dun & Bradstreet Business Credit Reporting) “Small Business Cyber-Resilience: The Basics of Cybersecurity for Small Business” - Slides “Small Business Cyber-Resilience: The Basics of Cybersecurity for Small Business” - Slides and Recording Raw Text Transcript Raw, unedited and machine-produced text transcript so there may be errors, but you can search for specific points in the episode to jump to, or to reference back to at a later date and time, by keywords or key phrases. Read More Raymond Sidney-Smith 0:03Welcome, everybody to web and beyond live for this edition, which is for October 12 2020. I'm Ray Sidney-Smith, President of W three consulting and managing director of WCC web services. With that being the case, I'm going to be talking today about cybersecurity, because it is National Cybersecurity Awareness Month. And what I wanted to do was to spend this and actually the next two weeks, with special guests, covering some things that you should be paying atte...

Nadya is a cybersecurity executive and recognized global leader in cybersecurity. She uses her deep breath of knowledge to develop and lead consulting teams and in developing global cybersecurity standards. Nadya shares not only her industry experience, but also her experiences immigrating to the US from the Soviet Union in the late 1980s.Episode NotesMusic used in the podcast: Higher Up, Silverman Sound StudioAcronyms, Definitions, and Fact CheckE-ISAC - Electricity Information Sharing and Analysis Center provides its members and partners with resources to prepare for and reduce cyber and physical security threats to the North American electricity industry. Created in 1999, the E-ISAC is operated by NERC and is organizationally isolated from NERC's enforcement processes. (www.nerc.com)NRECA - National Rural Electric Cooperative Association - the organization that represents the interests of over 900 electric cooperatives in the United States, to various legislatures. Independent electric utilities are not-for-profit and are owned by their members. (wikipedia)APPA - American Public Power Association - An industry trade association that is the voice of not-for-profit, community-owned utilities that power 2,000 towns and cities nationwide. We represent public power before the federal government to protect the interests of the more than 49 million people that public power utilities serve, and the 93,000 people they employ. We advocate and advise on electricity policy, technology, trends, training, and operations. (www.publicpower.org)EEI - Edison Electric Institute - an association that represents all U.S. investor-owned electric companies. Its members provide electricity for 220 million Americans, operate in 50 states and the District of Columbia, and directly employ more than one million workers. (wikipedia)UTC - Utilities Technology Council - a global association focused on the intersection of telecommunications and utility infrastructure. (www.utc.org)ISO - International Organization for Standardization - an independent, non-governmental international organization with a membership of 165 national standards bodies. (www.iso.org)IEC - International Electrotechnical Commission - an international standards organization that prepares and publishes international standards for all electrical, electronic and related technologies – collectively known as "electrotechnology". (wikipedia)ISO/IEC 27100 - The standard will enable the concepts of cybersecurity to be shared and discussed. It will compare and contrast cybersecurity with [the ISO27k version of] information security.NIST - National Institute of Science and Technology - founded in 1901 and is now part of the U.S. Department of Commerce. NIST is one of the nation's oldest physical science laboratories. (www.nist.gov)Does computer science and music use the same part of the brain? The closest tie between music and math is patterns.  Musical pieces often have repeating choruses or bars, similar to patterns.  In mathematics, we look for patterns to explain and predict the unknown.  Music uses similar strategies.  When looking at a musical piece, musicians look for notes they recognize to find notes that are rare (high or low) and less familiar.  In this way, notes relate to each other. (http://mathcentral.uregina.ca/beyond/articles/Music/music1.html)KGB - translated in English as the Committee for State Security, was the secret police force that was the main security agency for the Soviet Union from 1954 until the dissolution of the Soviet Union in 1991. (wikipedia)

In this episode, I analyze a compelling documentary found on YouTube put together by the architects and engineers for 9/11 truth. It compellingly debunks the official narrative from NIST (National Institute of Standards and Technology) that fires caused by the planes weakened the buildings and caused the collapse. The video can be found here: https://www.youtube.com!watch?time_continue=2737&v=IYUYya6bPGw&feature=emb_title. Or search for “Architects and Engineers On 9/11! Excellent Must See!” On the page of Richard Bruce. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

Le videochiamate sono diventate ormai lo standard di comunicazione sia in ambito personale che in ambito business.Elementi caratterizzanti sono l'uso della voce e del volto dei partecipanti nonchè i loro identificativi personali. Tutti dati da tutelare con la massima attenzione.Per aiutarci a farlo il NIST (National Institute of Standard and Technologies), parte del dipartimento del commercio USA ha dato delle indicazioni che ritengo utili e di cui discuto in questo episodio.Ascoltalo e poi contattami tramite Telegram (t.me/EdoardoFacchini) per:-chiarimenti o approfondimenti sull'episodio-valutare le tue modalità di tutela dei dati personali e la loro corrispondenza alle richieste del GDPR-valutare quanto sei adeguato al GDPR e come esserlo di più o mantenerti al tuo livello.ISCRIVITI al mio canale Telegram per-avere indicazioni pratiche su come fare ciò che il GDPR richiede-avere consigli su particolari casi-avere contenuti dedicati agli iscritti su privacy e GDPR-avere tutti gli episodi del podcast

Welcome to RIMScast. Your host is Justin Smulison, Business Content Manager at RIMS, the Risk and Insurance Management Society.   Today’s guest is Ron Ross, a NIST (National Institute of Standards and Technology) Fellow. He’s also the Project Leader for the FISMA Implementation Project, the Joint Task Force Transformation Initiative, and the Systems Security Engineering Initiative. In this episode, Ron and Justin will be taking a look at cybersecurity frameworks and how they can be applied to your risk management programs or ERM programs. Ron has lots of great insight on this topic so be sure to tune in!   Key Takeaways: [:14] About today’s episode. [:32] Justin gives a quick announcement about the upcoming RIMS 2020 Annual Conference. [:50] More about today’s episode. [1:10] Justin welcomes Ron Ross to RIMScast! [1:28] Ron speaks about his work with NIST and explains what he does there. [2:48] Ron explains how the NIST Cybersecurity Framework can be useful to risk professionals. [4:25] Does Ron know of any times that risk managers or risk professionals have used frameworks to solve a major problem or overcome a challenge within their company? [6:04] Does Ron have the risk management community in mind as he’s developing new tools and techniques? [7:48] Does Ron work in tandem or have working relationships with the National Cybersecurity Alliance or other organizations? [8:46] Ron speaks about some new information regarding the space of cybersecurity. He also shares some information about one of their newest publications on the topic of developing resilient cyber systems. [11:20] Where to find this new publication as well as their other publications! [12:27] Are there any unique or unusual adaptations that stand out to Ron right now? [15:37] Justin thanks Ron for joining the podcast! [15:45] Justin highlights some links to check out in today’s show notes!   Mentioned in this Episode: RIMS 2020 (May 2nd–6th in Denver, CO) Upcoming RIMS Events RM Magazine Risk Management Monitor RIMS-Certified Risk Management Professional (RIMS-CRMP) New Feature: RIMS-CRMP Stories RIMS Membership — Discover why 10,000 of your peers from more than 60 countries are a part of the RIMS community! National Institute of Standards and Technology (NIST) National Cybersecurity Alliance (NCSA) ISSA (ISC)² New York Metro Joint Cyber Security Conference NIST 800-60 Volume 2 NIST Publications   Want to Learn More? Keep up with the podcast on RIMS.org and listen on iTunes. Have a question or suggestion? Email: Content@rims.org.   Join the Conversation! Follow @RIMSorg on Facebook and Twitter, and join the RIMS Group on LinkedIn.  

  Guest: Sanjay Jain, Associate Professor of Decision Sciences at George Washington University, Washington, DC and research associate at NIST (National Institute of Standards and Technology) in the system engineering group. “You have to make the [artificial] intelligence accessible and easy to use for the industry” We recorded this episode in December 2018 in the venue of the Winter Simulation Conference, which was hosted in Gothenburg, and attracted +1000 between speakers and participants. Our guest, Sanjay Jain, was the program chair of the conference. Sanjay was able to bring a different perspective on industrial digitalization from the perspective brought by our previous guests, who were all based in Europe. In fact, Sanjay is based in the US and works in a multi-faceted environment: academia, a governmental institution, and in a business school, holding MBA classes. What does the Industrial Internet of Things mean when put into the context of Smart Manufacturing? Sanjay Jain breaks it down in three pillars, following McKinsey’s classification:  connectivity, intelligence and automation, where all three have to come together and work in unison. Sanjay explains that if the intelligence that smart-manufacturing applications is not accessible and easy to use for the industry, the increased effort for business people in using those applications will make their value plummet, which would cripple the research investment being put into those. This applies to SMEs in particular. Among connectivity, intelligence and automation, Sanjay focuses on the intelligence part, applied at a production-system level. In his latest article, Sanjay and his co-authors built a simulation model to quickly estimate cycle times for incoming orders for promising delivery dates. Within the multitude of data-analytics approaches and machine-learning techniques, choosing the best approach/technique to estimate these cycle times is a tough job, with lots of uncertainty. Plus, enough real data from the production system is lacking and it is not enough to feed the algorithms properly. In his paper, two approaches, Neural Networks (NN) and Gaussian Process Regression (GPR), are evaluated using data generated by a manufacturing simulation model itself, skipping the need for the use of lots of real data from the production system. The results showed that the GPR model performed well when trained using limited data and also when the factory is operating under the high load condition. Sanjay Jain, Associate Professor of Decision Sciences at George Washington University, Washington, DC and research associate at NIST (National Institute of Standards and Technology) in the system engineering group. Check out Sanjay’s publications: Jain, S., Anantha Narayanan, A., Yung-Tsun, T.L COMPARISON OF DATA ANALYTICS APPROACHES USING SIMULATION. In Proceedings of the 2018 Winter Simulation Conference. https://www.informs-sim.org/wsc18papers/includes/files/090.pdf   Jain, S., Shao, G. and Shin, S.J., 2017. Manufacturing data analytics using a virtual factory representation. International Journal of Production Research, 55(18), pp.5450-5464. https://doi.org/10.1080/00207543.2017.1321799   Jain, S. and McLean, C.R., 2004. An integrating framework for modeling and simulation for emergency response. National Institute of Standards and Technology https://www.nist.gov/publications/integrating-framework-modeling-and-simulation-emergency-response?pub_id=822205

This book extract from the NIST Cybersecurity Framework: A Pocket Guide, will take you through the benefits of implementing the NIST (National Institute of Standards and Technology) CSF (Cybersecurity Framework). Receive a 15% discount on the NIST Cybersecurity Framework: A Pocket Guide when you use the code, CALDER15 at the checkout in October only. https://www.itgovernancepublishing.co.uk/product/nist-cybersecurity-framework

Time is running out..... The 2019 annual budget for NIST (National Institute of Standards and Technology) decreased by $49 Million USD from the 2018 budget. Due to the decrease in budget, the NIST has decided to pull funding for WWV, WWVB, and WWVH.   This move will save NIST $6.3 Million USD.   WWV is one of the oldest radio stations in continuous use.  They went on the air in 1920 from Washington DC, broadcasting the time 24 hours a day, 7 days a week. WWV, WWVH, and WWVB Broadcast the official US Time Broadcast Atlantic and Pacific Maritime Conditions Broadcast GPS Status Updates Broadcast geophysical alerts from NOAA WWV, WWVH, and WWVB Are used by many radio operators to check band conditions Used by many to calibrate their receivers to make sure they are on frequency Used by mariners for storm updates Used by anyone who has a device that sets the time automatically from the "atomic clock" Listening to WWV, WWVH, and WWVB: Operate on 2.5, 5, 10, 15, and 20 MHz Transmit 10kW on 5, 10, 15 MHz Transmit 2.5kW on 2.5 and 20 MHz WWV and WWVB operate from Ft Collins, CO WWVH operates from Kauai, Hawaii You may also dial in over the phone WWV receives 1M Calls per year WWVH receives 50k calls per year  How can we save WWV, WWVH, and WWVB Sign this petition online (www.scannerschool.com/savewwv) 100,000 electronic signatures are need As of this podcast date, only 16k are signed We need 83k more for the White House to respond Call your state congressperson Call your local government Call your state's governor's office   All session notes and additional links can be found on our website at www.scannerschool.com/session38   Please support the Scanner School podcast.  Visit www.scannerschool.com/support to see how you can help us.  Some of the ways you can support us won't cost you any additional money!  

In this week’s episode, we look at security on Android and iOS operating systems. Our experts discuss security features these providers have put together, vulnerabilities you should be aware of, protecting data on your mobile phones, security on app stores, app permissions you should be wary of, and more. In news, we talk about a new attack trend termed the Dog in the Middle Attack or DiTM and a new password standard issued by the NIST - National Institute of Standards and Technology in the US that might surprise you all. 

In this podcast, Sean Sweeney, Information Security Officer (ISO) for the University of Pittsburgh (Pitt), discusses their use of the NIST (National Institute of Standards and Technology) CSF (Cybersecurity Framework). The University of Pittsburgh is a large, decentralized institution with a diverse population of networks and information types. The challenge of balancing academic freedom with security and protection of research data is put to the test every day. The use of the CSF, created by NIST as a common starting point for improving the cybersecurity of critical infrastructure providers, has proven valuable to help Pitt understand its baseline security posture, prioritize gaps, and set a target profile for improvement. The flexibility of the five NIST CSF categories (Identify, Protect, Detect, Respond, Recover) provide a solid starting point from which to understand the information security practices that are already in place at Pitt and the practices that are needed to improve the overall program. The podcast is based on a presentation available here. Listen on Apple Podcasts.

David Chandler is a physics teacher, a Quaker peace activist, and an independent 9/11 researcher, active with Architects and Engineers for 9/11 Truth and on the board of the International Center for 9/11 Studies. He noticed that something was amiss with the way the buildings fell on 9/11 and did precise measurements of the motions associated with the building collapses and straightforwardly applied Newton's laws of motion to show what this implied about the forces at work.Chandler thinks that the free fall of the buildings is one of the clearest smoking guns for the use of explosives on 9/11. A paper describing his analysis can be found online at the Journal of 9/11 Studies. Chandler's' analysis proves that approximately 90% of the structural support had to have been removed from the North Tower for it to come down with constant downward acceleration as it did. Building 7 (the third building to undergo rapid, total destruction on the evening of 9/11) came down at absolute freefall as well so that also had to have its existing inner structure previously removed. Besides clarifying the dynamics of the building collapses, David Chandler has built a solid case that the official NIST (National Institute of Standards and Technology) investigation was an elaborate coverup, involving not just errors, but that it was fraudulent. Chandler is working on a documentary DVD that will tie together all of his work. Go to his website below and the numerous analytical videos posted by him on YouTube for more details.