Deterministic safety solutions for probabilistic AI agents
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Updated
Jun 13, 2026 - Python
Deterministic safety solutions for probabilistic AI agents
Pre-execution intent verification for AI agents. Audits what your AI is about to do, not what it says. Zero dependencies, deterministic, hash-sealed.
Intent verification for AI-built apps. Scan before you ship.
Semantic drift detection and intent verification for LLM outputs and AI agents.
π‘οΈ Make AI show its work before it does the work. The intent problem? Fixed.
IntentGuard β Solana 2FA protocol. Commit-reveal intent verification with device separation.
local proof-of-concept implementing the Sovereign Intent Framework - a runtime governance architecture for agentic AI. Tests deterministic policy enforcement, intent manifest hashing, and audit trail generation against seeded adversarial scenarios.
Governed Back-Office Operating System for SaaS β AI agents run your operations under governed trust tiers. No action executes without governance approval.
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