Write, test and ship fraud controls in minutes
Move from idea to live rule or model without engineering tickets. Design in plain English, test before deployment and ship with confidence. Audit trail, human approval and performance evidence are built in.
Trusted by leaders in finance and technology
What changes when control building moves at the speed of fraud
Keep pace as fraud changes
Teams move from fraud signal to live rule or model in minutes, without waiting on engineering or vendor cycles.
Understand performance as you create
See how a rule is likely to perform while you are still building it. You get instant feedback on expected impact, alert volume and coverage as the rule is created, so teams can understand and refine performance before anything goes live.
Stay in control, with evidence built in
AI accelerates the work. Humans decide what ships. Every change comes with a clear rationale, performance data and full history, so you can explain and defend your controls.
From fraud signal to live control – fully connected
The full workflow lives in one place. Express the pattern, build the rule or model, test it, deploy safely and monitor performance, all without leaving the platform.
Write and ship rules without engineering tickets
Turn ideas into production-ready rules quickly. Define logic in plain English, test impact and deploy with confidence – all in one place.
Design rules in plain English – no SQL or engineering dependency
Backtest and simulate impact before deployment
Version, compare and roll back changes safely
See exactly why a rule fired and what it was designed to catch
Describe the attack – retrain a model in minutes
Build deployable fraud models without long data science cycles. Provide the context, review the outputs and retrain quickly as patterns evolve – with human approval before anything goes live.
Describe fraud patterns and generate models in minutes
Combine domain expertise with automated feature selection and training
Produce deployable models – not experiments or demo outputs
Retrain quickly as fraud patterns evolve
Know the impact before anything goes live
Shipping controls shouldn’t be a leap of faith. Understand exactly how a rule or model will behave before it affects customers.
Backtest against historical data and real distributions
Compare performance across rules, models and strategies
Safely deploy with guardrails and controlled rollout
Understand marginal rule performance before you deploy
Audit-ready by default, human in control
Speed without governance creates risk. Every control stays explainable, traceable and approved.
Maintain full history of rule and model changes
Capture rationale, approvals and performance automatically
Generate documentation for audit and model risk management
Keep humans in control of every deployment decision
Speed to live
Pre-deployment testing
Human control
Based on results from Fortify customer deployments
How it works
SPOT A FRAUD PATTERN OR SIGNAL
EXPRESS THE LOGIC OR DESCRIBE THE ATTACK
BUILD RULE OR MODEL AND BACKTEST
DEPLOY SAFELY AND MONITOR PERFORMANCE
Every control moves from idea to production in minutes – with full visibility, measurable impact and complete auditability from day one.
One modular system for fraud and AML, built around how teams actually work
Don't just chat with your data. Act on it.
Some tools give you an agent in a chat window. Fortify brings the intelligence into the workflow itself – so your team can see the risk clearly, understand the context, and take action fast, without leaving the screen.
You choose how much your AI does. From surfacing insights to autonomous action, you set the boundaries. Every decision is visible, auditable, and yours to override.
Related articles
Regulatory guidance and industry context for financial crime professionals.
Ship your next fraud control faster
Bring a rule or model you have been meaning to build, and see how fast it moves from plain-English idea to tested, governed deployment.
