Loading…
Thursday November 5, 2026 10:30am - 11:15am PST
Most AI supply-chain security tooling stops at provenance. A signed manifest proves the model came from the publisher who claims to ship it. OWASP CycloneDX AIBOM, OpenSSF Model Signing, and HuggingFace's signed model cards all answer that question. None of them answer the next one - what is actually inside the weights you signed.

The harder attack class lives in that gap. We built a working architectural-backdoor adapter of 136 kilobytes of new weights inserted between two transformer blocks of Cisco's Foundation-Sec-8B-Instruct and disclosed to Cisco PSIRT. Foundation-Sec ships across Splunk Enterprise Security AI Assistant and Cisco XDR, the model is in production SOC pipelines today. The adapter passes byte-for-byte hash comparison, fires only on a hidden trigger phrase, and is invisible to every provenance check currently deployed.

This session walks through a defensive workflow that closes the gap. Four steps AppSec teams can adopt this quarter:

1. Emit a CycloneDX 1.6 AIBOM with a structural-content hash field at model ingestion.
2. Bind the AIBOM to an OpenSSF Model Signing sigstore bundle so provenance and content ship together.
3. Scan weights at CI time with an integrity scanner, validated against the disclosed attack with zero-error insertion-layer recovery.
4. Hook model-load events in production so drift from the pinned baseline routes through the existing on-call channel.

Attendees leave with a reference architecture, a copy-paste CI configuration, the four-class payload taxonomy that determines what each control actually catches, and an honest defense-in-depth framing. The published adversarial stress-test shows where this workflow stops working. Layer it alongside provenance signing and behavioural monitoring, do not deploy it in place of them.
Speakers
BD

Bodhisattva Das

Security Researcher, RUDRA Cybersecurity
Bodhisattva Das is a Security Researcher at RUDRA Cybersecurity, and a graduate student at Carnegie Mellon University working on securing non-human identities, AI agents, and automated workloads across cloud environments. He specialises in open-source threat detection using Wazuh... Read More →
Thursday November 5, 2026 10:30am - 11:15am PST
Room: Grand Ballroom A (Street Level)

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Share Modal

Share this link via

Or copy link