The AI Audit Trail: Proving AI-Generated Code Is Safe to Ship (Dec. 8th)
Tuesday, December 8th, 2026: 11:00 AM to 12:00 PM
This session gets above the daily cycle of model and tool announcements and turns practical. Futurum analyst Mitch Ashley and Veracode's Chris Wysopal separate what is real from what is noise, then walk through what proof actually looks like for AI-generated code. We cover the audit trail security leaders need, the controls that hold up under scrutiny, and the steps AppSec teams can take today.
Virtual
AI now writes a growing share of production code, and security leaders are being asked a hard question. Can you prove it is safe? A directive to the development team no longer counts as an answer. Boards, auditors, and regulators want evidence: where the code came from, what it touched, and how it was verified.
What You Will Learn:
- What "proof" actually means for AI-generated code, and why a directive to the development team no longer satisfies a board or auditor
- The audit trail security leaders need: provenance, what the code touched, and how it was verified
- Which controls hold up under scrutiny and which create a false sense of coverage
- Steps AppSec teams can take today, without waiting for the next tooling cycle
- How to frame AI code security as evidence you can show, not an assurance you have to make
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