OBSERVABILITY
Live
Run & step tracing
Waterfall timelines, MCP call graphs, session grouping, and live Socket.IO updates for every agent run
AgentWatch
Every step
Full-stack observability
Full visibility from first prompt to final tool result.
Pre-call checks
Hardened guardrails
Enforced before the call at Gate; SDK agents are asked first and checked for compliance.
Detectors
Anomaly detection
Catch runaway agents and spend spikes as they happen.
5 connectors
Universal connectors
Pull runs from the platforms your agents already run on.
Watch every run. Stop the dangerous call before it executes. Hand an auditor a signed record they can verify without us. Cloud, on-premise or air-gapped.
SDK, Gate, Cursor hooks, or connectors ingest every LLM call, tool invocation, token count, and cost into a unified run timeline — the foundation for everything else in AgentWatch.
Detectors flag tool loops, cost velocity spikes, runaway step counts, PII in outputs, and prompt-injection patterns, tagged with OWASP and NIST IDs. Posture checks, including the lethal trifecta, run against what each agent can reach.
Define policies that pause, kill, or require human approval. Through Gate they apply before the call is made; SDK agents ask first with a preflight check, and AgentWatch records whether they obeyed. Every control ships in dry_run until you say enforce.
A hash-chained, tamper-evident audit log with PII and secret scrubbing. Signed evidence bundles an auditor verifies offline, OCSF events for your SIEM, and a CycloneDX bill of materials per agent.
FinOps chargeback, canary rollouts, trust scores, MCP registry, fleet health probes, and connector sync — one console for operators running agents in production.
Live
Waterfall timelines, MCP call graphs, session grouping, and live Socket.IO updates for every agent run
Policy
Block dangerous tools at Gate, enforce budgets, and route high-risk actions through the approvals inbox
Spend
Per-run cost rollups, agent-level budgets, burn-rate analytics, and plan quotas
Sync
Cursor hooks, OpenAI/Azure/Vertex connectors, MCP server registry, and SDK instrumentation for any stack
The one check to understand
When one agent has all three, a single poisoned web page or email can make it send your data away. The model is not a security boundary, so AgentWatch looks at the structure instead and flags it before an attack, from what the agent is allowed to reach and what it actually does.
Finding · AW-P01 · critical
Lethal trifecta, no approval gate
This agent can read private data, reads content from outside, and can send data out, with no human approving the send. One malicious web page or email is enough to leak data.
Flagged from configuration and traffic, before any attack happens.
How it is computed, and what it needs from you: AW-P01 on Status.
Watch, against a standard
Generated live from the mappings the product tags findings with. A grid claiming every item would be a grid nobody checks, so partial and missing items carry their reasons.
OWASP Agentic Top 10
Generated from the mappings every finding is tagged with. Each gap carries its reason. Read the reasons →
Prove it on real attacks
Each incident is replayed through the real API as a test. A row fails if a detection we claim stops firing, or if a blind spot we declared starts firing. The misses stay on this page.
Incident replay
Real AI-agent incidents, each replayed through the product as a test. The misses stay on the chart. Every row, and why →
The blind spots, in plain words: incident replay.
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Tracing · Guardrails · FinOps · Compliance