Proposes authenticated prompts and context for cryptographic provenance in LLM apps. Features policy algebra with Byzantine resistance and layered defenses. Achieves 100% attack detection with zero false positives.
Key Points
- 1.Tamper-evident hash chains for inputs
- 2.Provable protocol-level security
- 3.Lightweight semantic validation
Impact Analysis
Provides preventative LLM security beyond detection, resilient to injections. Enables secure dynamic workflows organization-wide.
Technical Details
Self-contained lineage verification and four theorems for resistance. Complements resource controls in runtime.