Agentic AI Security - PEP/PDP for Every Tool Call

Every tool call authorized at p50 ≈ 2µs before it runs.

Authorize every agent tool call in-process, in microseconds.

An autonomous agent that can call tools can also be tricked into calling the wrong one – or the right one on the wrong resource. DeepintShield places an inline Policy Enforcement / Decision Point in front of every tool call, returning ALLOW, DENY, REQUIRE_APPROVAL, or MASK before anything runs – at p50 ≈ 2µs for cached verdicts. Each decision combines an OpenFGA relationship check “can this agent act on this resource, for this principal, in this tenant?” with OPA/Rego policy, then maps to the OWASP Agentic ASI Top 10 and writes to a tamper-evident audit log, so you can prove exactly what each agent was allowed to do, and why.

Key Features

Four-verdict Decisions

ALLOW / DENY / REQUIRE_APPROVAL / MASK with obligations, served at p50 ≈ 2µs cached - advanced control, not just allow/block.

ReBAC + policy-as-code Engine

Fine-grained authorization from OpenFGA decides who-can-do-what-on-which-resource; OPA/Rego layers contextual rules and obligations on top.

Agent Identity Brokering

Normalize Entra Agent ID, ZeroID (RFC 8693), and generic OIDC into one delegation context, modeled as OpenFGA relationships.

Tool Integrity Engine

Catch “approved-but-wrong” calls via behavior-divergence detection, action-class escalation, injection scanning, and fingerprint-bound grants.

Source-code threat scan + signed AIBOM

Scan each tool’s source for RCE/exfiltration (OWASP T11/T17) and emit an Ed25519-signed CycloneDX AI Bill of Materials.

Shadow → canary → enforce

Measure exactly what a policy - or a new OpenFGA model - would block before turning it on, with a human-in-the-loop approval queue for risky actions.

Agentic AI security, AI agent policy enforcement point, PEP PDP for LLM agents, agent tool governance, OWASP Agentic Top 10 enforcement, AIBOM

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Agentic Security (PEP/PDP)

"Govern, Secure and Control every AI Action"