Security & Threat Intelligence · 25.07.2026, 15:29 UTC
Experts on Experts: Why AI and Compliance Are Forcing A New Security Operating Model
| Schweregrad | info |
|---|---|
| Kategorie | Security & Threat Intelligence |
| Quelle | Rapid7 Blog ↗ |
| Veröffentlicht | 25.07.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
This week on Experts on Experts, I sat down with Sabeen Malik, Rapid7’s VP of Global Government Affairs and Public Policy, to discuss a shift security leaders can’t afford to treat as separate threads: frontier AI, vulnerability discovery, cybersecurity compliance, and operational resilience.AI is changing how quickly vulnerabilities can be found, validated, and potentially exploited. At the same time, regulators, boards, and customers are asking for stronger proof that controls are working and risk is being reduced. Security leaders are being pushed to move at machine speed while proving the business is resilient.AI vulnerability discovery is moving faster than security standardsSabeen and I started with the policy question. Many of the systems security teams rely on today were designed for a slower era of human-led discovery. Vulnerability disclosure processes, scoring systems, prioritization frameworks, and regulatory expectations all assume organizations have time to assess, verify, and respond.Frontier AI challenges that assumption. If models can help find and chain vulnerabilities faster, the industry needs stronger standards around verification, access, disclosure, and accountability. Access to powerful models matters, but access alone does not solve the governance problem. The bigger question is whether the ecosystem can responsibly validate, prioritize, and act on what these systems produce.AI in cybersecurity must move from discovery to risk reductionFor defenders, faster discovery is only useful if it leads to faster action. Finding more vulnerabilities does not …