From hypothesis to live rule – in hours, not weeks
Build detection rules in plain language, test them against your data instantly, and deploy with full confidence in what they'll catch and what they won't. Your compliance team owns the full lifecycle without waiting on engineering.
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What changes when your compliance team controls the full rule lifecycle
Build rules without engineering
A fully visual, no-code editor that lets compliance analysts design detection logic directly. Describe the behaviour you want to catch, set the parameters, and see the rule take shape – no SQL, no tickets, no waiting.
Test before you deploy
Run backtests, sensitivity analyses and above-the-line / below-the-line evaluations against your actual data. See exactly how a rule will perform – alert volumes, true-positive rates, threshold impacts – and automatically generate the audit documentation your second line needs for sign-off.
Know when something shifts
Automated monitoring flags when a rule's performance drifts or when unusual patterns emerge in your alert population. You find out before the regulator does.
One connected workflow from rule design to production
In most AML programmes, changing a rule is a project. The compliance team identifies the need, writes a requirements document, submits it to engineering, waits for development and testing, then validates the output against what they originally asked for. It takes weeks, sometimes months. By the time the rule is live, the risk it was designed to address may have already shifted. Fortify puts the full lifecycle in the hands of the people who understand the risk – so the gap between identifying a detection need and addressing it shrinks from weeks to hours.
Build detection logic directly, in plain language
Your compliance team knows what suspicious behaviour looks like. The bottleneck has always been translating that knowledge into a rule that engineering can implement. Fortify removes that translation step.
Design rules in a visual, no-code editor – describe the behaviour, set thresholds and parameters, and see the detection logic generated in real time
Plain-language rule descriptions that stay linked to the underlying logic, so the rationale is always visible to reviewers and auditors
AI highlights where the rule needs more specificity – surfacing edge cases, ambiguous thresholds and hard-to-define scenarios at the point of design, not after deployment
Rules link directly to the typologies, scenarios and regulatory requirements they address – coverage mapping is built in from the point of creation
See exactly what a rule will do before it goes live
Deploying a rule without understanding its real-world impact is how teams end up with alert floods or blind spots. Fortify lets you test comprehensively against your actual data before anything reaches production.
Backtest any rule against historical data to see the alerts it would have generated, the true-positive rate, and the false-positive burden
Run sensitivity analyses across key parameters to understand how threshold changes affect alert volumes and detection quality
Compare rule variants side by side, including above-the-line / below-the-line activity, to choose the configuration that gives you the best balance of coverage and operational cost
Deploy with confidence, roll back without risk
Getting a tested rule into production should be the simplest part of the process. Fortify makes deployment a controlled, auditable step rather than a handoff to another team.
Move from tested rule to live production in a single workflow, with version control and full audit trail
Shadow mode lets you run a new rule against live data without generating alerts – validating real-world performance before you commit
Automatic rollback and deployment records capture the rule version, supporting test results and approver if anything behaves unexpectedly
Know when a rule stops working the way it should
Rules degrade. Customer behaviour shifts, product mix changes, attackers adapt. A rule that performed well six months ago may be generating noise today or missing activity it used to catch. Fortify monitors continuously so you don't have to wait for a periodic review to find out.
Automated alerts when a rule's performance drifts beyond expected parameters – rising false-positive rates, declining detection rates, unusual alert volume patterns
See the marginal contribution of every rule in your estate, so you know which rules are doing real work and which are generating cost without value
Performance dashboards give your team and your second line a clear, current view of the detection estate, feeding directly into periodic tuning and model validation cycles
Rule deployment
Testing
Rule oversight
Based on results from Fortify customer deployments
How it works
COMPLIANCE TEAM IDENTIFIES DETECTION NEED
RULE DESIGNED IN VISUAL NO-CODE EDITOR
BACKTESTED AND VALIDATED AGAINST REAL DATA
DEPLOYED TO PRODUCTION WITH SHADOW MODE AND ROLLBACK
PERFORMANCE MONITORED CONTINUOUSLY
Every rule is designed, tested, deployed and monitored by the people who understand the risk – in one connected workflow.
Built for a rulebook that keeps up with the risk
Detection rules age. A rulebook that made sense last quarter drifts out of step as customers, products and criminals change. What matters is how fast you can tell, and how fast you can act, without losing control of the estate.
Respond at the speed risk moves
When a new typology or a regulatory change lands, the people who understand it can build and ship the rule themselves, so your response is measured in days rather than the length of an engineering change cycle.
Every change stands up to governance
Each rule carries its rationale, its test results and its approvals, so when model validation or the second line asks why a control exists and how it performs, the evidence is part of the rule rather than something to reconstruct.
An estate you can keep lean
You can see which rules are doing real work and which only add noise, so the rulebook stays lean and your alert volume, and the cost of working it, stays under control.
One modular system for fraud and AML, built around how teams actually work
Related articles
Regulatory guidance and industry context for financial crime professionals.
Own every rule, from idea to production
Build detection logic in plain language, test it against real data before it goes live, and deploy with full audit trail and rollback – no engineering queue, no blind spots.
