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FencioAI

FencioAI delivers runtime security and governance for AI agents—helping teams benchmark before launch, enforce policies in production, and maintain a full audit trail to manage risk with confidence.
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AI agent runtime securityAI agent guardrailsagent policy enforcement APIAI agent security testing toolAI agent audit trailKubernetes AI security governancePII redaction for AI agentsagent tool-calling risk control

Features of FencioAI

Pre-launch evaluation suite: functional & security tests, benchmarking, and threat modeling
Real-time policy checks during tool-calling—input, decision, and tool-invocation stages
Policy engine & Enforcement API drop into any existing agent workflow
Live telemetry and call tracing to spot anomalies and drill into logs
Immutable audit trail with evidence replay for incident review and policy tuning
Built-in data governance: PII redaction, encryption, and leakage prevention
Context-aware action sequencing and input validation to block high-risk paths
Docker Compose & Helm charts for fast, cloud-native deployment and ops

Use Cases of FencioAI

Run security baselines on AI agents before production release
Block unauthorized API or internal-tool calls when agents are wired to external services
Apply redaction rules and keep audit logs for workflows that touch sensitive data
Reconstruct a full agent session with telemetry and call evidence
Detect and correct long-running task drift with live policy guardrails
Verify tool integrity in CI/CD to prevent supply-chain hijacks
Iterate rules safely with dry-run mode, human review, and dataset export
Secure agent services at scale with Kubernetes-native runtime shields

FAQ about FencioAI

QWhat is FencioAI?

FencioAI is a runtime security and governance layer for AI agents, covering pre-launch testing and in-production policy enforcement.

QWhich AI-agent risks does FencioAI tackle?

It focuses on unauthorized access, tool-supply-chain attacks, and task drift by enforcing policies and full execution tracing.

QHow do I integrate FencioAI?

Use REST/CLI endpoints for Enforcement, policy management, and telemetry queries—docs include ready-to-copy snippets.

QCan I test agents before they go live?

Yes—run functional & security tests, benchmarks, threat models, and custom evals to catch issues pre-release.

QDoes FencioAI control agents while they run?

Absolutely. Policies evaluate every input, decision, tool call, and model response in real time.

QHow does FencioAI help with audits?

Export live telemetry, replay call chains, and filter logs to pinpoint exactly what happened and when.

QWhat deployment options are available?

Docker Compose for quick trials and Helm charts for production-grade Kubernetes clusters.

QIs pricing public?

No public pricing is shown; contact the team for edition and cost details.

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