Podcasts about splunk's machine learning toolkit

Do you want to use machine learning to enhance your datacenter security monitoring, but you don’t know where to start? Then this is the talk for you. Come learn how high secure datacenter operations benefit from operationalizing machine learning. With the help of the Splunk's Machine Learning Toolkit, your security analysts can take different approaches to use case creation and gain new insight into what's going on in your environment. We'll detail the challenges, benefits and use cases of using machine learning for datacenter security monitoring, and we'll answer questions such as: Where does it make sense to apply machine learning, and where should we stick with classic searches? Can we detect meaningful anomalies in system behavior? Is it possible to cluster our account activities and find unusual patterns? This is a practical session of security monitoring use cases, deep diving into the ideas, concepts and the SPL behind them. Speaker(s) Oliver Kollenberg, Security Consultant, Siemens Philipp Drieger, Staff Machine Learning Architect , Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1374.pdf?podcast=1577146214 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

Deep Learning frameworks like TensorFlow and PyTorch let you extend Splunk's Machine Learning Toolkit with custom algorithms that provide you with an edge for advanced AI and ML use cases in Security, IT Operations, IoT or for any advanced custom analytics. In this talk you learn about the latest evolution to streamline the usage of TensorFlow 2.0 and PyTorch with the MLTK Container extension. Integrated Jupyter Notebooks help data scientist to accelerate their custom model development, deployment and operationalization. The MLTK Container can leverage GPUs for parallel computing and accelerate model training for big complex datasets. This session is suitable for all python-minded data scientists and developers who want to tap into deep learning use cases with Splunk. Speaker(s) Anthony Tellez, Staff Data Scientist, Splunk Philipp Drieger, Staff Machine Learning Architect , Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1409.pdf?podcast=1577146223 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Advanced

Are your analysts spending too much time clearing through notable events? Ours were too, but today our analysts are living the dream: they have all the details they want right there on the Incident Review screen, all while our alerts fine-tune themselves (with workflow action human input). Come and see how we achieved Incident Review Screen 2.0. by using Splunk's Machine Learning Toolkit to transition to smarter correlation searches. Speaker(s) Lukasz Antoniak, Cyber Detection Crafting Chief, Viasat Ryan Rake, Viasat Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1673.pdf?podcast=1577146257 Product: Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Intermediate

When is a 20MB email to an external Gmail account dangerous? It all depends on context. Understanding what normal behavior is will reveal whether specific behavior is malicious or ordinary. We’ll walk you through how using Splunk’s Machine Learning Toolkit and Splunk Enterprise Security together provides actionable insight for analysts to improve security. We'll also detail how we caught insider threats in our environment with these tools. Speaker(s) Karthik Subramanian, Principal Senior Cybersecurity Engineer, SAIC Tyler Williams, Cybersecurity Data Analyst, SAIC Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1305.pdf?podcast=1577146257 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

Malware infection, lateral movement, data exfiltration, oh my! If you’ve spent any time around the wizarding world of security, you know how much effort goes into preventing dark magic from happening. What if you could use machine learning to stay one step ahead of the adversary? Fasten your seatbelts, because in this talk we will show you how Splunk can utilize machine learning models to take your security detections to the next level. We’ll demonstrate how Splunk's Machine Learning Toolkit can be used to train, validate, and then deploy models to identify anomalies and discover clusters of bad behavior via user-friendly guided workflows—all this while training your models with more data then you’ve ever been able to before. Prepare to leave Las Vegas equipped to incorporate machine learning in your organization’s security detections and jump from reactive to proactive. Mischief managed! Speaker(s) Melisa Napoles, Sales Engineer, Splunk Erika Strano, Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2129.pdf?podcast=1577146257 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Good for all skill levels

Do you want to use machine learning to enhance your datacenter security monitoring, but you don’t know where to start? Then this is the talk for you. Come learn how high secure datacenter operations benefit from operationalizing machine learning. With the help of the Splunk's Machine Learning Toolkit, your security analysts can take different approaches to use case creation and gain new insight into what's going on in your environment. We'll detail the challenges, benefits and use cases of using machine learning for datacenter security monitoring, and we'll answer questions such as: Where does it make sense to apply machine learning, and where should we stick with classic searches? Can we detect meaningful anomalies in system behavior? Is it possible to cluster our account activities and find unusual patterns? This is a practical session of security monitoring use cases, deep diving into the ideas, concepts and the SPL behind them. Speaker(s) Oliver Kollenberg, Security Consultant, Siemens Philipp Drieger, Staff Machine Learning Architect , Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1374.pdf?podcast=1577146256 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

Deep Learning frameworks like TensorFlow and PyTorch let you extend Splunk's Machine Learning Toolkit with custom algorithms that provide you with an edge for advanced AI and ML use cases in Security, IT Operations, IoT or for any advanced custom analytics. In this talk you learn about the latest evolution to streamline the usage of TensorFlow 2.0 and PyTorch with the MLTK Container extension. Integrated Jupyter Notebooks help data scientist to accelerate their custom model development, deployment and operationalization. The MLTK Container can leverage GPUs for parallel computing and accelerate model training for big complex datasets. This session is suitable for all python-minded data scientists and developers who want to tap into deep learning use cases with Splunk. Speaker(s) Anthony Tellez, Staff Data Scientist, Splunk Philipp Drieger, Staff Machine Learning Architect , Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1409.pdf?podcast=1577146256 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Advanced

Take a deep dive in this enablement focused presentation where we cover the background, data and how to implement 3 Splunk solutions entirely captured in this sessions' companion app that shows how to use Splunk for maintaining a state of good repair, make data-driven decisions to garner rate payer confidence and proactively realize conservation goals.  The use cases covered in this session are: *** Corrosion Analytics - See how to use machine learning combined with ArcGIS, Maximo and Corrosion data to create an interactive map to predict pipe failures and replacement priorities based on proximity to sensitive infrastructure. *** Mobile Work Fleet - see how to use scripted inputs to develop asset management dashboards, make data driven purchasing decisions and optimize routes. *** Water Leak detection - see how Splunk's Machine Learning Toolkit can be used to easily detect anomalous consumption based on user behavior and automate alerting utilities and customers to prevent water waste. Speaker(s) Tony Nesavich, Staff Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IOT1318.pdf?podcast=1577146224 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Internet of Things Level: Good for all skill levels

Are your analysts spending too much time clearing through notable events? Ours were too, but today our analysts are living the dream: they have all the details they want right there on the Incident Review screen, all while our alerts fine-tune themselves (with workflow action human input). Come and see how we achieved Incident Review Screen 2.0. by using Splunk's Machine Learning Toolkit to transition to smarter correlation searches. Speaker(s) Lukasz Antoniak, Cyber Detection Crafting Chief, Viasat Ryan Rake, Viasat Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1673.pdf?podcast=1577146224 Product: Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Intermediate

When is a 20MB email to an external Gmail account dangerous? It all depends on context. Understanding what normal behavior is will reveal whether specific behavior is malicious or ordinary. We’ll walk you through how using Splunk’s Machine Learning Toolkit and Splunk Enterprise Security together provides actionable insight for analysts to improve security. We'll also detail how we caught insider threats in our environment with these tools. Speaker(s) Karthik Subramanian, Principal Senior Cybersecurity Engineer, SAIC Tyler Williams, Cybersecurity Data Analyst, SAIC Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1305.pdf?podcast=1577146224 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

Malware infection, lateral movement, data exfiltration, oh my! If you’ve spent any time around the wizarding world of security, you know how much effort goes into preventing dark magic from happening. What if you could use machine learning to stay one step ahead of the adversary? Fasten your seatbelts, because in this talk we will show you how Splunk can utilize machine learning models to take your security detections to the next level. We’ll demonstrate how Splunk's Machine Learning Toolkit can be used to train, validate, and then deploy models to identify anomalies and discover clusters of bad behavior via user-friendly guided workflows—all this while training your models with more data then you’ve ever been able to before. Prepare to leave Las Vegas equipped to incorporate machine learning in your organization’s security detections and jump from reactive to proactive. Mischief managed! Speaker(s) Melisa Napoles, Sales Engineer, Splunk Erika Strano, Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2129.pdf?podcast=1577146224 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Good for all skill levels

Do you want to use machine learning to enhance your datacenter security monitoring, but you don’t know where to start? Then this is the talk for you. Come learn how high secure datacenter operations benefit from operationalizing machine learning. With the help of the Splunk's Machine Learning Toolkit, your security analysts can take different approaches to use case creation and gain new insight into what's going on in your environment. We'll detail the challenges, benefits and use cases of using machine learning for datacenter security monitoring, and we'll answer questions such as: Where does it make sense to apply machine learning, and where should we stick with classic searches? Can we detect meaningful anomalies in system behavior? Is it possible to cluster our account activities and find unusual patterns? This is a practical session of security monitoring use cases, deep diving into the ideas, concepts and the SPL behind them. Speaker(s) Oliver Kollenberg, Security Consultant, Siemens Philipp Drieger, Staff Machine Learning Architect , Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1374.pdf?podcast=1577146223 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

Are your analysts spending too much time clearing through notable events? Ours were too, but today our analysts are living the dream: they have all the details they want right there on the Incident Review screen, all while our alerts fine-tune themselves (with workflow action human input). Come and see how we achieved Incident Review Screen 2.0. by using Splunk's Machine Learning Toolkit to transition to smarter correlation searches. Speaker(s) Lukasz Antoniak, Cyber Detection Crafting Chief, Viasat Ryan Rake, Viasat Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1673.pdf?podcast=1577146234 Product: Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Intermediate

Malware infection, lateral movement, data exfiltration, oh my! If you’ve spent any time around the wizarding world of security, you know how much effort goes into preventing dark magic from happening. What if you could use machine learning to stay one step ahead of the adversary? Fasten your seatbelts, because in this talk we will show you how Splunk can utilize machine learning models to take your security detections to the next level. We’ll demonstrate how Splunk's Machine Learning Toolkit can be used to train, validate, and then deploy models to identify anomalies and discover clusters of bad behavior via user-friendly guided workflows—all this while training your models with more data then you’ve ever been able to before. Prepare to leave Las Vegas equipped to incorporate machine learning in your organization’s security detections and jump from reactive to proactive. Mischief managed! Speaker(s) Melisa Napoles, Sales Engineer, Splunk Erika Strano, Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2129.pdf?podcast=1577146215 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Good for all skill levels

When is a 20MB email to an external Gmail account dangerous? It all depends on context. Understanding what normal behavior is will reveal whether specific behavior is malicious or ordinary. We’ll walk you through how using Splunk’s Machine Learning Toolkit and Splunk Enterprise Security together provides actionable insight for analysts to improve security. We'll also detail how we caught insider threats in our environment with these tools. Speaker(s) Karthik Subramanian, Principal Senior Cybersecurity Engineer, SAIC Tyler Williams, Cybersecurity Data Analyst, SAIC Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1305.pdf?podcast=1577146233 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

Malware infection, lateral movement, data exfiltration, oh my! If you’ve spent any time around the wizarding world of security, you know how much effort goes into preventing dark magic from happening. What if you could use machine learning to stay one step ahead of the adversary? Fasten your seatbelts, because in this talk we will show you how Splunk can utilize machine learning models to take your security detections to the next level. We’ll demonstrate how Splunk's Machine Learning Toolkit can be used to train, validate, and then deploy models to identify anomalies and discover clusters of bad behavior via user-friendly guided workflows—all this while training your models with more data then you’ve ever been able to before. Prepare to leave Las Vegas equipped to incorporate machine learning in your organization’s security detections and jump from reactive to proactive. Mischief managed! Speaker(s) Melisa Napoles, Sales Engineer, Splunk Erika Strano, Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2129.pdf?podcast=1577146233 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Good for all skill levels

Take a deep dive in this enablement focused presentation where we cover the background, data and how to implement 3 Splunk solutions entirely captured in this sessions' companion app that shows how to use Splunk for maintaining a state of good repair, make data-driven decisions to garner rate payer confidence and proactively realize conservation goals.  The use cases covered in this session are: *** Corrosion Analytics - See how to use machine learning combined with ArcGIS, Maximo and Corrosion data to create an interactive map to predict pipe failures and replacement priorities based on proximity to sensitive infrastructure. *** Mobile Work Fleet - see how to use scripted inputs to develop asset management dashboards, make data driven purchasing decisions and optimize routes. *** Water Leak detection - see how Splunk's Machine Learning Toolkit can be used to easily detect anomalous consumption based on user behavior and automate alerting utilities and customers to prevent water waste. Speaker(s) Tony Nesavich, Staff Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IOT1318.pdf?podcast=1577146229 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Internet of Things Level: Good for all skill levels

When is a 20MB email to an external Gmail account dangerous? It all depends on context. Understanding what normal behavior is will reveal whether specific behavior is malicious or ordinary. We’ll walk you through how using Splunk’s Machine Learning Toolkit and Splunk Enterprise Security together provides actionable insight for analysts to improve security. We'll also detail how we caught insider threats in our environment with these tools. Speaker(s) Karthik Subramanian, Principal Senior Cybersecurity Engineer, SAIC Tyler Williams, Cybersecurity Data Analyst, SAIC Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1305.pdf?podcast=1577146228 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

Malware infection, lateral movement, data exfiltration, oh my! If you’ve spent any time around the wizarding world of security, you know how much effort goes into preventing dark magic from happening. What if you could use machine learning to stay one step ahead of the adversary? Fasten your seatbelts, because in this talk we will show you how Splunk can utilize machine learning models to take your security detections to the next level. We’ll demonstrate how Splunk's Machine Learning Toolkit can be used to train, validate, and then deploy models to identify anomalies and discover clusters of bad behavior via user-friendly guided workflows—all this while training your models with more data then you’ve ever been able to before. Prepare to leave Las Vegas equipped to incorporate machine learning in your organization’s security detections and jump from reactive to proactive. Mischief managed! Speaker(s) Melisa Napoles, Sales Engineer, Splunk Erika Strano, Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2129.pdf?podcast=1577146228 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Good for all skill levels

Do you want to use machine learning to enhance your datacenter security monitoring, but you don’t know where to start? Then this is the talk for you. Come learn how high secure datacenter operations benefit from operationalizing machine learning. With the help of the Splunk's Machine Learning Toolkit, your security analysts can take different approaches to use case creation and gain new insight into what's going on in your environment. We'll detail the challenges, benefits and use cases of using machine learning for datacenter security monitoring, and we'll answer questions such as: Where does it make sense to apply machine learning, and where should we stick with classic searches? Can we detect meaningful anomalies in system behavior? Is it possible to cluster our account activities and find unusual patterns? This is a practical session of security monitoring use cases, deep diving into the ideas, concepts and the SPL behind them. Speaker(s) Oliver Kollenberg, Security Consultant, Siemens Philipp Drieger, Staff Machine Learning Architect , Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1374.pdf?podcast=1577146228 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

Deep Learning frameworks like TensorFlow and PyTorch let you extend Splunk's Machine Learning Toolkit with custom algorithms that provide you with an edge for advanced AI and ML use cases in Security, IT Operations, IoT or for any advanced custom analytics. In this talk you learn about the latest evolution to streamline the usage of TensorFlow 2.0 and PyTorch with the MLTK Container extension. Integrated Jupyter Notebooks help data scientist to accelerate their custom model development, deployment and operationalization. The MLTK Container can leverage GPUs for parallel computing and accelerate model training for big complex datasets. This session is suitable for all python-minded data scientists and developers who want to tap into deep learning use cases with Splunk. Speaker(s) Anthony Tellez, Staff Data Scientist, Splunk Philipp Drieger, Staff Machine Learning Architect , Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1409.pdf?podcast=1577146228 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Advanced

Deep Learning frameworks like TensorFlow and PyTorch let you extend Splunk's Machine Learning Toolkit with custom algorithms that provide you with an edge for advanced AI and ML use cases in Security, IT Operations, IoT or for any advanced custom analytics. In this talk you learn about the latest evolution to streamline the usage of TensorFlow 2.0 and PyTorch with the MLTK Container extension. Integrated Jupyter Notebooks help data scientist to accelerate their custom model development, deployment and operationalization. The MLTK Container can leverage GPUs for parallel computing and accelerate model training for big complex datasets. This session is suitable for all python-minded data scientists and developers who want to tap into deep learning use cases with Splunk. Speaker(s) Anthony Tellez, Staff Data Scientist, Splunk Philipp Drieger, Staff Machine Learning Architect , Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1409.pdf?podcast=1577146200 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Advanced

Take a deep dive in this enablement focused presentation where we cover the background, data and how to implement 3 Splunk solutions entirely captured in this sessions' companion app that shows how to use Splunk for maintaining a state of good repair, make data-driven decisions to garner rate payer confidence and proactively realize conservation goals.  The use cases covered in this session are: *** Corrosion Analytics - See how to use machine learning combined with ArcGIS, Maximo and Corrosion data to create an interactive map to predict pipe failures and replacement priorities based on proximity to sensitive infrastructure. *** Mobile Work Fleet - see how to use scripted inputs to develop asset management dashboards, make data driven purchasing decisions and optimize routes. *** Water Leak detection - see how Splunk's Machine Learning Toolkit can be used to easily detect anomalous consumption based on user behavior and automate alerting utilities and customers to prevent water waste. Speaker(s) Tony Nesavich, Staff Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IOT1318.pdf?podcast=1577146207 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Internet of Things Level: Good for all skill levels

Are your analysts spending too much time clearing through notable events? Ours were too, but today our analysts are living the dream: they have all the details they want right there on the Incident Review screen, all while our alerts fine-tune themselves (with workflow action human input). Come and see how we achieved Incident Review Screen 2.0. by using Splunk's Machine Learning Toolkit to transition to smarter correlation searches. Speaker(s) Lukasz Antoniak, Cyber Detection Crafting Chief, Viasat Ryan Rake, Viasat Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1673.pdf?podcast=1577146215 Product: Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Intermediate

When is a 20MB email to an external Gmail account dangerous? It all depends on context. Understanding what normal behavior is will reveal whether specific behavior is malicious or ordinary. We’ll walk you through how using Splunk’s Machine Learning Toolkit and Splunk Enterprise Security together provides actionable insight for analysts to improve security. We'll also detail how we caught insider threats in our environment with these tools. Speaker(s) Karthik Subramanian, Principal Senior Cybersecurity Engineer, SAIC Tyler Williams, Cybersecurity Data Analyst, SAIC Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1305.pdf?podcast=1577146215 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

Take a deep dive in this enablement focused presentation where we cover the background, data and how to implement 3 Splunk solutions entirely captured in this sessions' companion app that shows how to use Splunk for maintaining a state of good repair, make data-driven decisions to garner rate payer confidence and proactively realize conservation goals.  The use cases covered in this session are: *** Corrosion Analytics - See how to use machine learning combined with ArcGIS, Maximo and Corrosion data to create an interactive map to predict pipe failures and replacement priorities based on proximity to sensitive infrastructure. *** Mobile Work Fleet - see how to use scripted inputs to develop asset management dashboards, make data driven purchasing decisions and optimize routes. *** Water Leak detection - see how Splunk's Machine Learning Toolkit can be used to easily detect anomalous consumption based on user behavior and automate alerting utilities and customers to prevent water waste. Speaker(s) Tony Nesavich, Staff Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IOT1318.pdf?podcast=1577146258 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Internet of Things Level: Good for all skill levels