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 Dark Reading webinar, a top expert will offer some useful definitions of terms, and will discuss some practical applications of the technology that might speed your incident reaction time and improve your use of IT security staff resources.

On Demand
1h 00min

Attend this webinar and you'll learn:

  • The difference between machine learning (ML) and artificial intelligence (AI)
  • How ML & AI technologies can and CANNOT improve security tools        
  • What the latest innivations are in ML & AI and where they will take cybersecurity professionals -- and cyber criminals -- next

Featured Speakers

  • Lisa O'Connor
    Lisa O'Connor
    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.

  • Anthony Tellez
    Anthony Tellez
    Data Scientist, Machine Learning & Advanced Analytics

    Anthony is a Data Scientist at Splunk. Anthony supports customers globally with machine learning and advanced analytics use cases in the domains of cyber security, fraud and business analytics. Anthony works closely with Splunk’s product team to develop new premium solutions for customers and partners. His previous roles include cloud strategy, data governance, product development, and geospatial analysis. He is a certified ethical hacker(CEH) and holds industry certifications in support of network defense (CNDA) and information security (Sec+, CISSP).

  • 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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