AI Is Calling In Every Risk You've Accepted: Seven Insights From The AI Security Panel: Unfiltered

At Snyk’s AI Security Panel ahead of the 2026 AI Security Summit in San Francisco, representatives from Snyk, OpenAI, Google Threat Intelligence Group, and boldstart ventures argued that AI is lowering the cost and increasing the speed and scale of cyberattacks, exposing risks organizations had previously tolerated. Participants highlighted AI agents as a growing attack surface because they can access tools, credentials, code, and data autonomously, making identity controls, limited permissions, audit trails, and time-bound access increasingly important. They agreed that vulnerability discovery is accelerating faster than remediation, with organizational processes and human approval bottlenecks preventing many known fixes from reaching production. The panel advocated machine-speed defense, including automated triage, testing, remediation, and security operations, while reserving human involvement for exceptions, judgment, and intent-setting. Speakers differed on how nondeterministic AI systems should be supervised and how regulation should assign responsibility for agent-caused harm, but broadly supported standards, visibility, risk-based controls, and clearer accountability. Recommended priorities included using advanced models to test internal systems, improving the ratio of vulnerabilities fixed to vulnerabilities found, auditing agent capabilities, enforcing strong authentication, and reassessing whether uptime concerns are delaying necessary security fixes.

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