My conversations with other security leaders at Black Hat 2025 revealed a troubling reality: organizations face dangerous blind spots where AI vulnerability disclosure gaps meet immature risk management frameworks. CISOs privately described how third-party AI adoption creates systemic risks across financial services and critical infrastructure that existing security approaches cannot address.
The consensus among attendees was clear. Traditional cybersecurity controls were never designed for AI-specific threats. The result? Fragmented vulnerability disclosure practices and underdeveloped risk management capabilities that create enterprise-wide exposure across industries.
Existing security frameworks miss AI-specific threats
Security professionals shared with me how conventional frameworks struggle with AI systems, creating vulnerabilities that threat actors exploit. Standard approaches excel at identifying code injection attacks and privilege escalation but fail against AI-native threats like membership inference attacks, model weight exfiltration, and guardrail safety flaws.
AI vulnerabilities transfer across different providers’ systems. Attack…
