Plan AI
A risk governance loop across the full AI lifecycle—linking compliance registration, asset discovery, evaluation, control, and audit end to end to help enterprises operationalize AI planning systematically and avoid fragmented responses.
GenTrace - AI Agents
Record agent instructions, tool calls, and data access, then reconstruct the full behavior trail so runtime is visible, events are searchable, and responsibility is traceable.
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Unified onboarding
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Trace and audit coverage
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Reconstruct the full run
Introduction
A single agent run can involve planning, model responses, tool calls, data access, and multi-agent collaboration. Seeing only the final result makes it hard to judge whether the process met expectations, or to reconstruct what happened and assign responsibility after an exception.
GenTrace onboards in-house agents, models, and tools, continuously records the full behavior chain, and reconstructs the trail through a timeline, call topology, and task flow. Combined with risk detection, audit evidence, and analysis reports, it makes the process searchable and responsibility traceable, giving ongoing governance a basis.
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From seeing only the outcome to tracing the full process—continuously recording agent instructions, task planning, tool calls, and data access, and reconstructing each step and how it connects, so anomalies can be found, responsibility can be traced, and enterprises have a basis for agent audit and ongoing governance.
Console · Behavior Trace
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Duration
webchat (Agent runtime)
15.32s
User request
Export quarterly customer list; send via personal email
<1ms
context.assembled (Context build)
18ms
plan (Task planning)
612ms
memory.read (Memory read)
Read default email and preferences
742ms
tool.select (Tool selection)
Select CRM API and email service
436ms
permission.check (Permission check)
Check export and outbound permissions
214ms
crm.export (Customer export)
Export quarterly customer data via CRM
3.21s
policy.enforce (Policy enforcement)
Sensitive outbound policy triggered
156ms

A risk governance loop across the full AI lifecycle—linking compliance registration, asset discovery, evaluation, control, and audit end to end to help enterprises operationalize AI planning systematically and avoid fragmented responses.
Make enterprise AI assets visible and controllable. Automatically inventory models, agents, skills, MCPs, and more to surface risk exposure and inform governance decisions.
Deep pre-launch risk evaluation to keep hazards out of production. Systematically assess agents, skills, and supply chains for hallucination, overreach, and privacy risks.
Security across agent runtime and multimodal content. Real-time checks and intervention on inputs and outputs, plus AIGC authenticity, tamper detection, provenance, and copyright risk review—balancing speed and governance.
Adaptive compliance for regulatory needs. Full-chain behavioral logging, iterative policy tuning, and support for registration requirements—reducing ongoing compliance cost.
Whether you are deploying enterprise agents, investigating execution issues, or auditing behavior and responsibility, GenTrace records the full behavior chain and reconstructs the process, giving agent governance evidence you can verify and trace.
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