Dharma Kavach: Cryptographic Zero-Trust Guardrails and the Dharma Sentinel Smart Contract for Sovereign Agentic AI Inference at the Edge
Dharma Kavach: Cryptographic Zero-Trust Guardrails and the Dharma Sentinel Smart Contract for Sovereign Agentic AI Inference at the Edge
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.
Satya Kosha, Large Language Models, AI Safety, Deterministic Verification, Hallucination Mitigation, Viveka Patha, Sovereign AI.
Satya Kosha, Large Language Models, AI Safety, Deterministic Verification, Hallucination Mitigation, Viveka Patha, Sovereign AI.
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!