AXME
Detect when your agents start behaving unexpectedly — before the damage is done
Agents don't go rogue in obvious ways. They gradually drift — calling APIs more than usual, accessing data outside their normal scope, generating errors at elevated rates. By the time you notice, damage is done.
AXME Mesh tracks behavioral baselines for every agent in your fleet.
Agents don't go rogue in obvious ways. They gradually drift — unusual API volume, unexpected data access, elevated errors — until damage is done.
Catch drift before the invoice
Rogue behavior rarely starts as a headline — API volume creeps up, error rates wobble, data scopes widen. By the time spend spikes, damage may already include customer impact.
Mesh fleet visibility establishes baselines; anomaly signals alert ops to investigate — pairing with policy and kill switch for graduated response.
Example: data scope drift
A support agent historically queries tickets for account X. After a prompt change, it begins querying accounts X–Z. Error rate is flat; cost is up 40%. Anomaly alert fires on data-scope metric; operator pauses agent, rolls back prompt, resumes after fix.
Kill switch unused — early warning contained incident.
SOLUTION
How teams solve this with AXME.
API volume spike
Calls per minute baseline.
Data scope drift
Access outside norm.
Error rate
Sudden failure increase.
Latency
Slowdown signal.
PATTERNS
Production details.
Alert → pause → investigate
Automated response path.
vs cost control
Anomaly is behavioral; cost is spend.
Not the same as kill switch
Anomaly detection warns early; kill switch stops damage. Use both.
Anomaly vs cost vs kill
Anomaly: behavioral deviation from baseline. Cost control: spend thresholds. Kill switch: emergency stop. Use all three — alert on anomaly, cap on cost, halt when policy says stop.
Tune baselines per agent class after two weeks of stable production traffic.
Common questions
- ML-based anomaly detection?
- Mesh provides operational metrics and deviation alerts; advanced ML may integrate via export streams.
- False positives?
- Start with alert-only mode; automate pause only after tuning baselines per agent.
- Relation to rogue containment use case?
- Anomaly is early warning; rogue containment is response playbook — see both use cases.
Related reading
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