Runtime visibility for AI agents
FriskAI sits between your agents and the tools they use, capturing every agent action. We turn raw agent behavior into behavioral understanding and automatic anomaly detection.
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Instrumentation
Drop in the SDK. Capture everything.
FriskAI wraps your agent runtime and captures a structured trace of every action: tool calls, arguments, outputs, and timing. No changes to your agent logic required.
- Python and TypeScript SDKs
- Native adapters for LangChain, Claude Agent SDK, and Strands
- Near-zero performance overhead on every tool call
- Works with any agent architecture, custom or framework-based
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Behavioral Understanding
Understand what your agents do and how it changes.
FriskAI turns raw traces into a behavioral model. See which tasks agents run most, which tools they rely on, and when behavior shifts materially from one version to the next.
- Per-agent behavioral profiles with task and tool breakdowns
- Change detection across agent versions and deployments
- Behavioral dashboards your whole team can read
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Anomaly Detection
Catch behavioral anomalies before they become incidents.
FriskAI continuously analyzes traces for behavioral anomalies. No rules to write, no thresholds to configure. When something looks wrong, you see it.
- Scope Deviation: single-record to bulk operations
- Operation Deviation: reads shifting to writes, deletes, or permission changes
- System Deviation: access outside the agent's normal system footprint
- Argument and Volume Anomalies surfaced automatically
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See it in action
Walk through the platform with our team
Instrument a sandbox agent and walk through behavioral traces and anomaly detection with our team.