AI is generating code and surfacing vulnerabilities faster than security teams can review them, compressing the time between a vulnerability discovery and its exploitation. In this episode, Niro Rajadurai, Chief Revenue Officer at XBOW, examines how autonomous offensive security can match that pace, in conversation with host Marilie Fouché. He discusses why distinguishing exploitable vulnerabilities from false positives is critical at scale, how pairing multiple AI models improves results without costly retraining, and why governance has to be built into automated security systems from day one. This episode is sponsored by XBOW. Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Transcript

Related