Transaction monitoring that moves as fast as risk changes
Design, test and improve monitoring controls in minutes. Every rule maps to a risk, is measured against outcomes and carries clear evidence that it works.
.avif)
Trusted by leaders in finance and technology
Monitoring that adapts as quickly as risk changes
Design controls, not just rules
Connect every rule to the risk, typology and scenario it addresses. That keeps your monitoring intentional, explainable and complete.
Reduce noise
at the source
Improve alert quality by tuning control design at the source. Identify overlapping rules, sharpen thresholds and focus effort on the activity that matters most.
Measure what actually matters
See performance at the rule and system level, from true positives to investigation outcomes. Every control then carries clear evidence that it works.
Monitoring that stays aligned, explainable and effective
Design, measure and improve controls that match the risk. They stay effective, and update as soon as new insight emerges.
Connect every rule to the risk it covers
Map each rule to a typology, scenario and risk. Then build the logic in plain English or a no-code scenario builder. Design, test and ship controls in minutes, with traceability built in.
Create monitoring logic in plain English or with no-code workflows
Map rules to typologies, scenarios and risk assessments
Check coverage across your full control set, not rule-by-rule
Build and backtest new rules without waiting on engineering
Improve alert quality in the same session
See what is driving alert quality, get AI-recommended threshold changes and tune live rules in the same session.
Analyse alert-to-investigation and true-positive rates by rule
Get recommended threshold changes based on investigation outcomes
Prioritise rules with the greatest opportunity for tuning
Turn performance insight into rule updates without manual analysis
Adapt monitoring as customer risk changes
Customer behaviour changes, risk evolves and new typologies emerge. Fortify keeps monitoring aligned. It combines rule logic, customer risk data and behavioural signals, and turns new insight into live controls in minutes.
Reflect onboarding and customer risk changes in monitoring logic automatically
Detect velocity changes, dormancy activation and unusual time-of-day activity
Surface peer group deviations and counterparty clustering patterns
Apply different thresholds by customer risk band or segment
Prove your monitoring is effective
Keep a running record of how rules perform, change and support your control framework. When a rule is completed or updated, Fortify can generate the governance write-up for you: rationale, test results, approvals and expected impact.
Track rule performance from alert to outcome
Measure effectiveness using real investigation results
Maintain a complete audit trail of rule changes and rationale
Generate governance documents when rules are completed or updated
Show how monitoring covers risks and performs over time
Monitoring that proves its worth
Faster controls, higher-value alerts and clear evidence that they work, all measured in one control framework.
Speed to live
Alert quality
Control evidence
Based on results from Fortify customer deployments
How it works
DEFINE OR UPDATE RISK AND TYPOLOGIES
BUILD AND BACKTEST RULES AGAINST REAL DATA
TEST IN SHADOW MODE BEFORE GO-LIVE
MONITOR PERFORMANCE, OUTCOMES AND EVIDENCE
Every rule is designed, tested, deployed and monitored by the people who understand the risk – in one connected workflow.
One modular system for fraud and AML, built around how teams actually work
Related articles
Regulatory guidance and industry context for financial crime professionals.
.avif)
Own every rule, from idea to production
Build detection logic in plain language. Test it against real data before it goes live. Deploy with a full audit trail and rollback, no engineering queue and no blind spots.
