Someone is working against you.
Laundering, takeover, intrusion. It adapts once caught.
Anomaly and threat monitoring, built by agents
Connect your data and say what matters. Lucir builds proven detectors and watches your data day and night.
01 · Signal
Ledgers, logs and sensors record everything. Turning "catch this" into a working detector still takes months, and most alerts are noise.
Laundering, takeover, intrusion. It adapts once caught.
A bad job, a failing pump, a retry loop.
A schema change makes normal look strange.
02 · Intent
Start from a sentence or a policy. Lucir takes it from there.
Flag accounts that take in many small transfers from new counterparties and move most of it out within a day.
Illustration of the build flow.
03 · Build
Your team gets a detector to review and approve, not a black box.
04 · Proof
Every detector the agent builds must clear its checks before anyone can deploy it. Then it is scored on history it never saw.
05 · Watch
Once you approve it, it runs against your data around the clock, on the cadence you set. Its logic is frozen, and every retrained model is versioned.
Detector
Rapid pass-through accounts
detector 9f2c41d7…a41e approved
Illustration of a monitored detector.
Measured, not claimed
Built by the agent alone, scored on data it never saw, and shown next to the published results.
IBM AML, HI-Small
Minority-class F10.557
About a point below PNA (0.568), a purpose-built graph network. Graph-feature boosting leads.
About 5.5 hours, unattended · $4.63 in model calls
Method and full tableElliptic Bitcoin
Illicit-class F10.625
Level with the paper's graph network, GCN (0.628). A random forest leads.
8 minutes · $0.42 in model calls
Method and full tableOne engine
Laundering networks, structuring, pass-through accounts.
BenchmarkedUnusual access, lateral movement, quiet exfiltration.
Pack in developmentAccount takeover, mule networks, synthetic identities.
Same engineMachines and processes drifting before they fail.
Tested