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Govern high-stakes AI agents with confidence.

FriskAI provides real-time policy enforcement, human-in-the-loop control, and complete observability across agent actions. Prevent costly mistakes, ensure compliance, and accelerate adoption without sacrificing speed.

How FriskAI governs your agents

Get safety, compliance, and trust built directly into your agents in three steps.

Step 1

Instrument agents with real-time governance

Instrument the agent once. FriskAI evaluates every tool call against active policies before execution, so guardrails apply instantly without redeploying agents.

  • Drop-in middleware for Python and TypeScript
  • FriskAI handles evaluation in milliseconds
  • No redeploy required for policy changes

from friskai import FriskClient
from friskai.adapters.langgraph import FriskLangGraphHandler
from my_agent.graph import graph 

frisk = FriskClient(
    api_key='FRISK_API_KEY',
)

# install once
app = FriskLangGraphHandler(graph, frisk)
Step 2

Encode business rules as enforceable policies

Risk, compliance, and operations teams encode business rules, thresholds, and approvals using a no-code policy builder. Templates, context-aware conditions, and safe previews make it easy to govern agents without writing code.

  • Role-based access keeps editing safe
  • Versioning and dry runs before rollout
  • Instant sync to every connected runtime
Policy BuilderIn review
Wire Transfer Guard

Escalate when unverified recipient or high-risk justification.

Amount > $5,000
Recipient outside allowlist
Supervisor approval logged
AgentTreasuryOps
Last validated2 minutes ago
Step 3

Enforce decisions and prove compliance

FriskAI evaluates every tool call against active policies and enforces the safest outcome. Every decision is logged with full context so teams can investigate incidents, satisfy audits, and prove compliance.

  • Inline block, redact, or request escalation
  • Audit trail with remediation guidance
  • Export events to SIEM or data warehouse
Live enforcement feed
Transfer requires approval
finance-trading-controls
Escalated
Supervisor pinged before release
Secrets detected in tool input
no-secrets-prod
Blocked
api_key → ***********
Knowledge base lookup
customer-support-runtime
Allowed
Within tenant scope

What FriskAI delivers

A control layer that lets teams deploy AI agents in production systems without risking money, data, or compliance.

Block unsafe or destructive actions before they hit real systems

Require human approval for high-risk decisions like refunds, deletes, and transfers

Enforce context-aware business rules on every agent action

Maintain a forensic audit trail of every decision and policy change

Deploy agents faster with drop-in SDKs and policy templates