AI Observability
Trace governed AI interactions from the person or agent to the policy applied. Monitor security, spend, and adoption in one console, or stream decisions to your existing tools.
Record the interaction as it happens
AI Security Runtime observes on the governed path, not by reconstructing provider logs afterward. Human-to-model, agent-to-tool, and agent-to-agent activity follow the same sequence.
- 1
Observe
Capture the actor, surface, destination, and data classification.
- 2
Detect
Identify threats, sensitive information, and the intent of the interaction.
- 3
Enforce
Record the configured allow, redact, hold, or block decision.
- 4
Trace
Retain the policy, version, and integrity hash for investigation.
Keep investigations in your existing tools
Stream sealed decision records to Splunk, Datadog, Cribl, and Elastic. Your SOC keeps its alerting and correlation workflow, with the AI policy context attached.
Exported events contain metadata, not copies of prompt or response bodies. Conversation history and items held for human review have their own access and retention boundaries.
Explore integrationsFollow the record from use to audit
How is this different from provider logs?
Provider logs show one vendor's slice. First Recon observes interactions on the governed path across applications, gateways, APIs, agents, and tools, with the identity, classification, destination, intent, and enforced decision together.
Which dashboards are included?
Security, spend, and adoption views are fed by runtime activity. The same decisions that enforce policy provide the record for monitoring and investigation.
What is retained when an item is held?
A designated reviewer can inspect a held item until a decision is made. The retained trail records the outcome. Exported metadata-only events do not replace that review workflow or the user's conversation history.
- Detect
- Redact
- Hold
- Block