2026-03-12 · MagenTrust Research
You don't need to block AI agents. You need to make automated abuse economically irrational.
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MagenTrust applies Shannon entropy and probability distribution modeling to behavioral signals to generate a continuous human confidence score throughout a session. Keystroke dynamics, interaction timing, scroll patterns, and mouse movement are processed ephemerally into scores. No biometric data is ever stored. No BIPA, GDPR, or CCPA liability surface.
Built for the agentic AI era. Three signal outcomes: PASS (verified human presence), CHALLENGE (low-friction micro-interaction requested), INTERRUPT (action blocked and escalated). Target verticals: financial services, defense, automotive, critical infrastructure.
MagenMCP is MagenTrust's server-side MCP integration. When an LLM agent reaches a sensitive action, it calls MagenTrust via MCP before proceeding. The MCP server evaluates the current human confidence score and returns a PASS, CHALLENGE, or INTERRUPT signal.
A Human Exclusion Zone is a declared perimeter around an autonomous workflow where MagenTrust continuously monitors for human behavioral signals and enforces machine-only execution policy. Inside an HEZ, the trust model inverts: human signal equals INTERRUPT, no human signal equals PASS.