Product

Policy-first security for AI runtimes.

Front53 centralizes risk evaluation and enforcement so every agent action is observed, explained, and governed with a shared security policy.

Platform highlights

Runtime coverage AgentGateway + Docker
Policy updates Auto hotfix rules
Observability SIEM-ready exports

End-to-end decision flow

Keep risk evaluation, policy, and enforcement aligned in one platform.

Ingest Runtime hooks and AI events stream into Front53.
Analyze Semantic AI analysis and historical trends enrich risk signals.
Decide Policies map risk thresholds to allow, flag, or deny.
Enforce Decisions are executed with acknowledgements from the runtime.

Capabilities

Secure AI agent fleets without slowing delivery.

Dynamic policies

Versioned policy rules update live without redeploying runtimes.

Explainable verdicts

Human-readable narratives capture AI intent and mitigation suggestions.

Fleet intelligence

Identify coordinated attack campaigns across tenants and agents.

Audit exports

Stream risk and enforcement data into SIEM and compliance systems.

Runtime ingestion

AgentGateway and Docker adapters standardize event payloads.

Policy evaluation

Risk scoring and policies translate intent into enforcement.

Enforcement

Kill, quarantine, or monitor actions confirm back to Front53.

Ready for your runtime stack

Integrate with existing tooling and start securing agents in hours.