AI is no longer just assisting security teams — it’s actively finding vulnerabilities humans missed.
In this episode of Security Boulevard, Mitch Ashley, Alan Shimel, and Fernando Montenegro examine the real-world implications of AI-driven vulnerability discovery after Anthropic allowed Claude to conduct large-scale scanning across open-source projects.

The result? More than 600 vulnerabilities identified — including a long-standing issue in Ghostscript that traditional research had missed for years.

The discussion goes beyond headlines. The panel analyzes:
• Whether AI can outperform human threat researchers
• How iterative model reasoning changes vulnerability discovery
• The risks of AI-powered offensive security
• What this means for DevSecOps and open-source maintainers
• Whether AI shifts the balance between defenders and attackers

As AI systems begin to reason across version histories, patch gaps, and architectural inconsistencies, cybersecurity teams face a new reality: automation at machine scale.
Is this a breakthrough for defenders — or the beginning of a new attack surface?
Security Boulevard is produced by The Futurum Group.

If AI can audit every version of your software in seconds, what does that mean for your security posture?

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