Full control and visibility over your AI agents.
Trace every tool call, debug behavior, and enforce policies in real time without slowing down development. Your team will never have to choose between speed and safety again.
How FriskAI governs your agents
Get safety, compliance, and trust built directly into your agents in three steps.
Connect your agent runtime with the SDK
Instrument the agent once. The SDK reads the policy catalog the moment a run begins, so updates flow in automatically.
- 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)
Design policies in the Control Center
Risk, compliance, and operations teams compose policies through a visual builder. Templates, natural-language conditions, and test scenarios make it approachable without touching code.
- Role-based access keeps editing safe
- Versioning and dry runs before rollout
- Instant sync to every connected runtime
Escalate when unverified recipient or high-risk justification.
Enforce in real time and audit everything
FriskAI evaluates every thought, tool call, and output against active policies. Teams see a live event stream with explanations, so they can trust and prove agent behavior.
- Inline block, redact, or request escalation
- Audit trail with remediation guidance
- Export events to SIEM or data warehouse