Intent-bound action authorization for AI agents — deterministic, per-action approval a prompt injection can't re-point, with a signed, tamper-evident audit trail.
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Updated
Jun 11, 2026 - Python
Intent-bound action authorization for AI agents — deterministic, per-action approval a prompt injection can't re-point, with a signed, tamper-evident audit trail.
Proxilion is the security layer for the agentic workforce. It turns managed AI agents into governed users by enforcing strict cryptographic boundaries on every API call to SaaS like Google Workspace, Salesforce, or Atlassian.
Penetration testing for AI agents — find, prove, and measure cross-server confused-deputy / prompt-injection exfiltration chains in an MCP tool mesh. Local-first, bring-your-own-model.
A practical field manual for platform engineers on agent identity: authorization, least privilege, and audit for LLM agents as first-class principals. Shipped one chapter + runnable demo at a time.
The first benchmark environment for Sensitivity Awareness (SA) in LLMs. Evaluating how language model agents handle Role-Based Access Control (RBAC), Confused Deputy vulnerabilities, and Contextual Authorization rules.
Research artifact for the JSS 2026 paper on Prompt-to-API-Call (P2A) injection attacks against LLM agents: 52 attack vectors across 5 REST backends (260 scenarios), five defenses (D1-D5), and the D5 Semantic Intent Validator. Includes the harness, attack corpus, and all result data.
RFC 8707 confused-deputy conformance prober and enforcing sidecar for MCP server OAuth (RFC 9068 audience binding)
The open specification for delego — a deterministic authorization & audit protocol for AI-agent actions.
Zero-trust capability delegation for MCP multi-agent systems. Solves the confused deputy problem with scoped JWT tokens, deterministic enforcement, and full audit trail.
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