Artificial Intelligence & Machine Learning , Next-Generation Technologies & Secure Development

The Pitfalls of Using AI and ML in Security

McAfee CTO Steve Grobman on the Limitations and Inherent Weaknesses
Steve Grobman, senior vice president and CTO, McAfee

Using artificial intelligence and machine learning in cybersecurity has pitfalls, says McAfee's Steve Grobman, who describes appropriate steps to take.

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"On the adversarial use of AI, cybercriminals are using the technology just like legitimate businesses to make them more effective at their criminal activity," he says.

In a video interview with Information Security Media Group at RSA Conference 2019 in San Francisco, Grobman discusses:

  • Problems unique to security with AI and ML;
  • Countering the use of machine learning by adversaries;
  • Protecting AI and ML systems.

Grobman is senior vice president and CTO for McAfee. Previously, he spent over two decades in senior technical leadership positions related to the field of cybersecurity at Intel.

About the Author

Varun Haran

Varun Haran

Managing Director, Asia & Middle East, ISMG

Haran has been a technology journalist in the Indian market for over six years, covering the enterprise technology segment and specializing in information security. He has driven multiple industry events such as the India Computer Security Conferences (ICSC) and the first edition of the Ground Zero Summit 2013 during his stint at UBM. Prior to joining ISMG, Haran was first a reporter with TechTarget writing for SearchSecurity and SearchCIO; and later, correspondent with InformationWeek, where he covered enterprise technology-related topics for the CIO and IT practitioner.

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