Tools and reading for fraud teams.
Benchmark your controls, try the engine live, and read what we've learned building explainable fraud infrastructure.
Fraud-Control Self-Assessment
Fifteen questions across payment fraud, account takeover, and AML controls. Benchmark where your institution stands in ten minutes.
Take the assessment → InteractiveLive Decisioning Simulation
Simulate a transaction and watch the engine respond: decision, score, and evidence trail, with every field explained on hover.
Run the simulation → BookThe Fraud Language Model (FLM)
Explainable, real-time fraud defense for the AI era. Read it interactively in your browser, play with the detection widget, and keep the PDF.
Read the book → BlogThe Loci Blog
Fraud typologies, detection engineering, and explainability, written by the team building the platform.
Read the blog → DocsDeveloper Documentation
API references, integration guides, and code examples for transaction monitoring, screening, and behavioral intelligence.
Open the docs → CommunityFraudBook
Contribute fraud patterns you've seen in the field and get an AI-assisted advisory read on emerging typologies.
Contribute a pattern →FLM: the Fraud Language Model.
Why we built an explainable control language instead of another black-box score, and what it changes for fraud and compliance teams.
Prefer to see it than read about it?
A 30-minute walkthrough of the platform on your own data beats any guide.