8
attack categories
WATCHLLM
Agent Reliability Lab
WatchLLM intentionally breaks your agent in controlled scenarios, captures every decision as a graph, and gives your team a direct route from failure to verified fix.
8
attack categories
0.7+
critical severity threshold
3.2s
median run feedback time
Teams shipping high-stakes agents trust this workflow
Operating loop
Simulation run: pro-funnel-agent-v4
$ watchllm simulate --categories prompt_injection,tool_abuse
→ Injecting adversarial payload set #07
→ Tool-call chain drift detected at node 14
→ Severity scored at 0.82 (critical)
✓ Graph stored and replay checkpoint created
Inject
Target specific failure classes with curated payload sets for prompt injection, hallucination, and tool abuse.
Inspect
Inspect every node transition and isolate exactly where routing, context, or policy handling drifted.
Iterate
Branch from the failure node, ship the fix, and re-run the same attack path with confidence in minutes.
Core capabilities
Run prompt injection, tool abuse, hallucination, and role-confusion attacks against every release candidate.
Inspect node-by-node execution and pinpoint where context, tool routing, or policy checks actually failed.
Branch directly from the failure node, patch the prompt or tool logic, and verify the same path in minutes.
ROI strip
Simulation volume
8.8k / mo
+214% QoQ
Scaled from 2.8k monthly attack runs after adding scheduled category sweeps.
Issue reduction
-43%
critical incidents
Drop in production-critical agent failures tied to prompt and tool-chain behavior.
Time-to-fix
-61%
mean remediation time
From 13.6h to 5.3h by replaying from exact failure checkpoints.
Reliability is a product feature.