How to Use Artificial Intelligence and Machine Learning to Improve Enterprise Security

Many cybersecurity vendors today use terms such as “AI” and “machine learning” to describe the capabilities of their products. But what exactly do these technologies do, and how can you implement them to improve your everyday IT security processes? In this enlightening Dark Reading webinar, a top expert will offer some useful definitions of terms, and discuss practical applications that could speed your incident response time and improve your use of IT security staff resources

Wed, Sep 18, 2019 10:00 AM PDT / 01:00 PM EDT
1h 00min

Attend this webinar and you'll:

  • Get a breakdown of the real difference between AI, machine learning (ML), deep learning and other terms
  • Learn how and why these technologies can improve your ability to detect unknown exploits, and how to incorporate the tools into your vulnerability management process
  • Examine how AI or deep learning might support or integrate with other components of your security program

Featured Speakers

  • Lisa O’Connor
    Lisa O’Connor
    Managing Director, Cyber Security Research and Development
    Accenture Labs

    Lisa leads Global Security Research and Development at Accenture Labs. In this role, she curates and manages a portfolio of cyber research, including threat intelligence, advanced cyber hunting, orchestration for resilient cyber architectures, edge analytics, analytics and machine learning, active defense and security of the Industrial Internet of Things.

    With more than 29 years of information security experience, and over 18 years of expertise in financial services, Lisa also has more than seven years’ experience as an active member of the Financial Services Sharing and Analysis Center (FS-ISAC) and the Financial Services Sector Coordinating Council. She is a Certified Information Systems Security Professional (CISSP) by ISC2 and an INFOSEC Analyst and a Cryptologic Engineer, recognized by the NSA.

    Prior to this, Lisa was part of Accenture’s Consulting business for Financial Services in North America, where she led the organization’s security efforts in Banking and Payments. In her career, she has played several critical roles, including Fannie Mae as the lead of Information Security Governance, leading the national security consulting practices at Predictive Systems (INS), Guardent (Verisign), PriceWaterhouseCoopers and the National Security Agency. Her work at the National Security Agency included assignments to the White House Communications Agency and to the Surveys and Investigations Staff of the House Appropriations Committee.

  • Nayeem Islam
    Nayeem Islam
    CEO and Cofounder
    Blue Hexagon

    Nayeem Islam is CEO and co-founder of Blue Hexagon. Previously, Nayeem was VP and Head of Qualcomm’s R/D group in Silicon Valley where he led an award-winning team building deep learning sensors, and security products. He pioneered optimizations for a large family of machine learning algorithms on mobile phones, including deep learning. Nayeem is well known as a pioneer in security and internationally recognized as such in 2017 when he was the co- recipient of ACM POPL’s 2017 Most Influential Paper award. He is the author of a best-selling book and over 40 referred papers.

  • Sara Peters
    Sara Peters
    Senior Editor
    Dark Reading

    Sara Peters is Senior Editor at Dark Reading and formerly the editor-in-chief of Enterprise Efficiency. Prior that she was senior editor for the Computer Security Institute, writing and speaking about virtualization, identity management, cybersecurity law, and a myriad of other topics. She authored the 2009 CSI Computer Crime and Security Survey and founded the CSI Working Group on Web Security Research Law -- a collaborative project that investigated the dichotomy between laws regulating software vulnerability disclosure and those regulating Web vulnerability disclosure.

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