AI Runtime Security Platform

Make every agent decision auditable, enforceable, and explainable.

Front53 monitors AI agents in real time, evaluates risk signals, and enforces policy decisions with a cryptographically chained timeline.

Live Security Pulse

Last verdict DENY · 0.87 Risk
Auto-mitigated Policy hotfix issued
Integrity status Hash chain verified

How Front53 secures AI agents

Signals flow into a single security authority that outputs enforceable verdicts.

1. Signal Agent hooks, runtime telemetry, and policy context.
2. Risk Semantic analysis, trend detection, and threat intel.
3. Verdict Policy evaluation decides allow, flag, or deny.
4. Enforce Action is applied to the runtime with a full audit trail.

Built for audit-grade security

Every decision is recorded, hashed, and ready for compliance review.

Immutable timeline

Every verdict and AI narrative is stored in an append-only, hash-chained ledger.

Explainable AI

Semantic intent analysis produces clear narratives for security operators.

Closed-loop policy

High-risk findings automatically create new hotfix rules for future protection.

Execution-plane agnostic

Secure Docker runtimes and AgentGateway instances via webhook enforcement.

Security Authority

Front53 centralizes verdict decisions and provides tenant isolation.

Execution Plane

AgentGateway, Docker, and custom runtimes receive enforcement commands.

Audit & Reporting

Hash-chained timeline, compliance exports, SIEM integration.

Recent audit events

Operators see the why, not just the what.

Verdict: DENY · Policy p-002 Risk 0.87 · Semantic data exfiltration
Verdict: FLAG · Behavioral anomaly Risk 0.62 · Deviates from baseline
Verdict: ALLOW · Policy p-001 Risk 0.12 · Allowed action

See Front53 in action

Book a walkthrough and get a tailored architecture review.