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March 4, 20260 citationsOpen Access

Dharma Kavach: Cryptographic Zero-Trust Guardrails and the Dharma Sentinel Smart Contract for Sovereign Agentic AI Inference at the Edge

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ASAmit Raj Sharma

Key Points

  • The aim is to enhance security in autonomous AI agents by implementing a zero-trust architecture.
  • Developed a zero-trust execution architecture called Dharma Kavach.
  • Utilized cryptographically structured linked chains for LLM output blocks.
  • Implemented a deterministic smart contract (Dharma Sentinel) to vet outputs.
  • Enforced behavioral invariants to maintain security at the protocol layer.
  • Achieved a 100% adversarial block rate against malicious actions.
  • Maintained a sub-5ms evaluation overhead during processing.

Abstract

As autonomous AI agents gain system-level execution privileges, they introduce critical security vulnerabilities. We introduce "Dharma Kavach," a zero-trust execution architecture where LLM output blocks are cryptographically structured as a linked chain and vetted by a deterministic Python-level smart contract (Dharma Sentinel). This protocol prevents the execution of malicious instructions—such as reverse shells or filesystem destruction—by enforcing behavioral invariants at the protocol layer. We demonstrate a 100% adversarial block rate with sub-5ms evaluation overhead.

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Cite This Study

Amit Raj Sharma (2026) studied this question.

synapsesocial.com/papers/69a7cdaed48f933b5eeda328https://doi.org/10.5281/zenodo.18837672
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