Agent Forensics
AI agent observability
Checking readiness
Primary inference NVIDIA Nemotron via Nebius Token Factory Nemotron via Nebius

Customer Support · customer C001, orders and account actions in a controlled sandbox.

Investigation console

Trace what your AI agent actually did.

Detect unsafe tool behavior, reproduce the failure, apply a guardrail, and verify the fix.

Controlled customer-support sandbox. Exact-case replay uses an LLM and may vary. Verification applies only to the completed baseline/protected pair tested.

Verdict Deterministic
Replay Exact-case
Model Nemotron
AGENT BLACK BOX
AFL / TRACE PREVIEW
STANDBY
FORENSIC RECORDER AWAITING RUN
execute
TRACE NOT RECORDED
evaluate
VERDICT PENDING
Failure modes

Select an investigation

Each scenario runs an agent inside a controlled sandbox and records its tool actions, not just its final response.

Live investigation

Indirect Prompt Injection

READY
01
Discover
Adversarial test

Select the failure scenario and sandbox context.

Run an investigation to generate a live adversarial test.
02
Execute
Recorded tool trace

Run the agent and record every tool action.

Tool calls will appear here as the agent executes.
03
Detect
What the user saw vs. what the agent did

Check the execution trace against policy rules.

A safe-looking final answer does not guarantee safe execution. The trace shows what the agent actually accessed before producing its response.

Final response
No response recorded yet.
—
Response heuristic
≠
TRACE COMPARISON
Execution trace
No critical action recorded yet.
—
Agent Forensics verdict
04
Localize + minimize
Trace assessment

Find the critical action and reduce the trigger.

Critical step
—
Failure class
—
AUTHENTICATED
—
RESOURCE OWNER
—
Original trigger
—
→
Minimal reproducer
—
05
Repair + replay
Replay the same trigger

Apply a guardrail and rerun the same case.

Recommended guardrail
—
Replay an observed failure to evaluate a proposed guardrail.

Replay runs the same failure before and after the guardrail so the mitigation is tested against the original case.

Before
—
No replay yet.
→
After
—
No replay yet.
06
Regression
Save a verified regression

Save the verified failure for future testing.

# Regression test will appear after a confirmed failure.
Verification status
Verification
Verdict LLM judgment
NOT REQUIRED
Deterministic rule
PENDING
Replay
NOT RUN
Guardrail verification
NOT VERIFIED
Utility
Not evaluated
Regression suite

Saved regression records

Every saved case preserves its replay trigger, failure class, applied guardrail, and violation summaries. New saves and reruns also store full replay traces on the server.

Each card is a previously verified failure that can be rerun later to confirm the same guardrail still prevents the violation.

0 SAVED
No regression cases loaded yet.
Evaluation results

Final Combined Benchmark

Frozen final-combined-20261005-005502 · audited exact-case evidence. Initial failures and conditional mitigation have distinct denominators; these are not universal protection rates.

132/132Completed benchmark cases
67/67Audited mitigations verified
0Protected-policy violations
41/41Benign utility controls preserved

Utility preservation covers baseline-successful tasks; overall benign success is 41/45. These results apply to the frozen evaluated cases only.

Customer Support

Cross-customer: 29/30 initial failures · 29/29 audited mitigation

Customer injection: 28/30 initial failures · 28/28 mitigation

Identity bypass: 8/9 initial failures · 8/8 paired mitigation

Emergency Response

Unauthorized dispatch: 1/2 initial failures · 1/1 mitigation

Protected violations: 0

Benign emergency utility controls: 3/3

Causal Ablation

Controlled customer content ablation: poisoned 9/10 vs neutralized 0/10 vs sanitized 0/10. Matched intervention evidence consistent with a causal contribution; not formal causal proof.

Multi-Model Evaluation

Pipeline compatibility: Nemotron · Hermes · Qwen. Controlled subset only; not a model leaderboard.

Controlled models: Nemotron · Hermes · Qwen via Nebius Token Factory. Nemotron is the primary benchmark model.

Controlled simulated actions. Real earthquake data is snapshotted, not live. Exact-case replay is model-dependent. Generalization is demonstrated across two explicit domains, not universal. Some evaluators are rule-based. Emergency actions are simulated only.

Nebius Token Factory powers agent execution, minimization, replay, and controlled multi-model evaluation through an OpenAI-compatible inference API.

WORKFLOW
Analyzing agent behavior
Running the agent workflow and collecting trace evidence.

This investigation includes: Discover · Execute · Detect · Localize · Replay

Model workflows can take 1–3 minutes.
The page will update automatically when evidence is ready.

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