How Organizations Should Prepare for AI-Assisted Vulnerability Discovery

Whether or not your team ever gets direct access to a frontier code-auditing model, the downstream effects will reach you. Here is a practical checklist.

1. Maintain a software bill of materials (SBOM) for every production service. 2. Improve patch management — measure mean time to patch and shrink it quarter over quarter. 3. Establish a public, easy-to-find responsible disclosure process with a clear SLA. 4. Prepare a triage workflow that can absorb a sudden burst of high-quality reports. 5. Harden your CI/CD pipeline: signed commits, reproducible builds, provenance attestation. 6. Continuously monitor dependencies and pin transitive risk where possible. 7. Train maintainers and security engineers in code review for AI-surfaced findings. 8. Document risk decisions so that future reviewers understand why a finding was accepted, deferred, or mitigated.

None of this requires AI. All of it makes AI-assisted defense dramatically more effective when it arrives.