As machine learning applications move into the mainstream, a new era of cyber-threat is on the horizon – one that uses offensive AI to supercharge attack campaigns. Offensive AI allows attackers to automate reconnaissance, craft tailored impersonation attacks, and even self-propagate to avoid detection. Security teams can prepare for this eventuality by turning to defensive AI to fight back – leveraging autonomous cyber defense that learns on the job to detect and respond to even the most subtle indicators of an attack, no matter where it appears.

This conversation explores current and emerging applications of offensive AI, defensive AI, and the ongoing battle of algorithms between the two.