# How are you auditing what your AI agents do in production? > Source: > Published: 2026-05-25 15:54:05+00:00 # The trust layer for autonomous AI agents AgentGate intercepts every agent action before execution — verifying identity, validating delegation chains, and detecting behavioral drift in real time. ``` bash $ python demo.py AgentGate PDP — Trust Authorization Layer ─────────────────────────────────────────[REGISTER] agent_id=analyst_001 purpose="Summarize quarterly business reports"[TOKEN] issued: eyJhbGciOiJFZERTQSJ9... (Ed25519 JWT — scope embedded + signed)[REQUEST] action=read resource=/reports/q1.pdf → PERMIT (trust=0.91)[REQUEST] action=read resource=/reports/q2.pdf → PERMIT (trust=0.89)[REQUEST] action=read resource=/reports/q3.pdf → PERMIT (trust=0.87)[REQUEST] action=read resource=/reports/q4.pdf → PERMIT (trust=0.86)...6 more reads in under 5 minutes...[REQUEST] action=export resource=/reports/*[KILL CHAIN] *** BULK_READ_THEN_EXFIL detected *** 10 reads in 4m32s followed by export attempt Pattern: data enumeration → exfiltration[DECISION] *** DENY ***[REASON] Kill chain: bulk read then exfiltration sequence. No single request triggered this. The sequence did.[AUDIT] entry #4821 — HMAC-chained, tamper-evident[ALERT] security team notified instantly ``` ## Your agents have credentials. Do you know what they're doing with them? Enterprises are deploying autonomous AI agents at scale — but the security infrastructure hasn't kept up. Every agent is a potential attack surface. ### OAuth can't detect scope creep Traditional identity systems grant access once and assume good behavior. They cannot detect when an agent exceeds its delegated scope mid-task. ### Delegation chains are invisible When Agent A delegates to Agent B delegates to Agent C — who authorized the final action? No existing tool answers this. ### Behavioral drift goes undetected An agent's behavior shifts silently over time. By the time you notice, the damage is done. ## AgentGate intercepts before execution Every agent action is scored across four dimensions before it's allowed to run. No agent bypasses the gate. ### Identity Verification 25%Ed25519 JWT tokens with scope embedded in the signed credential — immutable after issuance, offline-verifiable with the public key. No database lookup required. ### Delegation Chain Integrity 25%Full chain traversal at every authorization call: every ancestor's scope is verified. Atomic revoke_chain neutralizes an agent and all descendants in one call. ### Purpose Alignment 30%Embedding-based semantic scoring: action + resource (85% weight) vs. declared purpose. Justification is capped at 15% — cannot be used to bypass a misaligned action. ### Behavioral Anomaly Detection 20%Per-agent velocity baselines with trust decay over time. Dormancy followed by sudden high-volume activity is itself a risk signal — no static thresholds. ### Kill Chain Detection Beyond single-requestEach individual request may look clean. AgentGate examines the full 5-minute sequence. Bulk reads followed by an export. A read followed by a delete on the same resource. Progressive sensitivity escalation. Directory sweeps across 6+ prefixes. Patterns that only become visible across multiple calls — and that no rule-based system can catch. Drop in your API key — one line of code See every agent action in real time — attacks blocked live Demo scenario — AgentGate intercepting a simulated multi-agent attack sequence in real time ## See AgentGate in action Watch a live run — real agents, real attacks, real-time blocking. ## The market context The regulatory and threat landscape is converging. Enterprises need answers now. OWASP LLM06 Excessive Agency — agents granted permissions beyond their declared scope, acting outside their intended purpose. Listed as a critical risk in OWASP Top 10 for LLM Applications. OWASP Top 10 for LLM Applications, 2025 MITRE ATLAS Adversarial ML tactics against AI systems now formally catalogued — reconnaissance, privilege escalation, and data exfiltration all apply to autonomous agents. MITRE ATLAS, 2024 August 2026 EU AI Act high-risk obligations take effect — enterprises have months, not years, to implement governance controls for high-risk AI systems. EU AI Act (Regulation 2024/1689) Regulatory pressure and adversarial sophistication are converging. Teams without agent governance controls today face compliance exposure by Q4 2026. ## Works with your existing stack Drop-in integration. No framework changes. No rewrites. ``` python from agentgate import AgentGate gate = AgentGate("http://localhost:8000", api_key="your-key")gate.register( "my_bot", "ReportBot", "Summarize quarterly business reports", authorized_resources=["/reports/*"], authorized_actions=["read"],) # Authorize before each action — PERMIT | ESCALATE | DENYresult = gate.authorize("read", "/reports/q3.pdf") # Or use the decorator — enforcement is automatic@gate.guard("read", resource_arg="path")def read_document(path: str) -> str: return open(path).read() ``` ## Request Early Access We're onboarding select enterprise pilot teams with limited availability. Priority given to teams running LangGraph, LangChain, or custom agent frameworks in production with real compliance requirements. Dedicated onboarding 1:1 setup with the founding team Pilot pricing Flexible pricing for early adopters Direct influence Shape the roadmap with your use case [Request Early Access](/early-access) We'll review your request and get back to you within 48 hours.