🔒 MVAR: Elevate LLM Runtime Security
MVAR empowers organizations to secure their LLM agent runtimes against prompt-injection attacks. By combining information flow control and cryptographic provenance tracking, MVAR ensures sustainable tool functionality while maintaining safety and integrity.
Key Features:
- Provenance Taint Tracking: Labels data integrity and confidentiality—ensuring any untrusted input renders derived outputs untrusted.
- Capability Runtime: Implements a deny-by-default execution model, allowing explicit permission declarations for every tool.
- Deterministic Sink Policy Evaluation: Provides three outcomes—ALLOW, BLOCK, or STEP UP—with full auditability.
💡 Why MVAR matters:
It shifts the paradigm from patching against specific vulnerabilities to a holistic enforcement of policies across agent runtimes—keeping tools effective without jeopardizing security.
Join the MVAR conversation! Share your thoughts or check out our GitHub repository: MVAR GitHub 📈
