Move from fraud signal to response – faster
Detect emerging fraud patterns sooner. Monitor more of your data. Put approved responses live faster. Fortify agents surface weak signals, help build rules and models, tune controls and assemble evidence, while your team stays in control of what goes live.
Trusted by leaders in finance and technology
Find new fraud patterns and prepare a response while the signal is still small
Monitor more of the data
Agents continuously scan across payments, customers, devices, accounts, cohorts and behavioural signals, surfacing patterns your team may not know to look for yet.
Turn patterns into defences
When a new fraud modality starts to appear, agents help define features, train models, build rules and backtest responses in minutes.
Keep humans in control
Your team chooses what to investigate, what to mitigate and what enters production. Every agent action is logged, reviewable and traceable.
Agents embedded across detection, investigation and response
Fraud teams must catch new patterns, tune controls and explain every decision, often with more data than they can review. Inside Fortify Fraud, agents analyse signals, prepare evidence and propose rule or model changes for approval – the team stays accountable for what goes live.
Find the signal before the attack scales
Fraud rarely arrives fully formed. It starts as small anomalies across products, cohorts, devices or payment flows. Fortify agents surface these signals for investigation before they become obvious losses.
Monitor behavioural shifts across customers, payments, devices and segments
Surface unusual clusters, velocity changes and linked activity in the dashboard
Identify patterns that individual rules or past-trained models may miss
Prioritise signals by exposure, confidence and potential business impact
Train a model for new fraud in minutes
When you need a new model, Fortify agents draw on your team’s existing knowledge – typologies, analyst feedback, historic outcomes and risk appetite – to run feature selection, build features, construct training and test sets, and report performance. Your team reviews, refines and approves before deployment.
Select predictive features using Fortify’s fraud and payments expertise and your team’s existing knowledge
Generate new candidate features from emerging attack patterns
Build and compare models with performance metrics available quickly
Iterate with the agent to improve precision, recall and operational fit
Draft governance documentation covering rationale, training data, validation results and approval history
Keep rules sharp as fraud changes
Fraud rule sets become noisy, stale or duplicative over time. Fortify agents review performance, flag weak controls and recommend tuning or consolidation, backtested before anything affects live decisioning.
Flag rules that still fire but no longer discriminate well
Identify overlapping controls that can be merged or simplified
Recommend tuning, retraining or replacement based on outcomes
Backtest proposed changes before they affect live decisioning
Set the boundary between agent work and human approval
Agents suggest mitigation strategies, draft rules, train models and prepare evidence. They build the governance documents that make changes auditable – from rationale to test results and approval records. Your team decides which risks to address and what enters production.
Set boundaries for autonomous, assisted and human-approved work
Keep analysts in control of production rules, models and enforcement decisions
Log every prompt, recommendation, action and approval
Trace each response back to the human, agent or collaborative workflow behind it
Shorter time to defence, fewer false positives and less unaddressed liability
Fortify agents reduce the operational drag between discovering a pattern and putting an effective defence in place. Teams can respond to new fraud faster, improve rule and model quality, and reduce the fraud that slips through existing controls.
Time to defence
Alert quality
Fraud liability
Based on results from Fortify customer deployments
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How it works
AGENT SURFACES AN EMERGING PATTERN OR ANALYST ASKS A QUESTION
AGENT GATHERS EVIDENCE, SUGGESTS FEATURES, RULES OR MODEL OPTIONS
TEAM REVIEWS PERFORMANCE, RISK AND CUSTOMER IMPACT
APPROVED DEFENCE GOES LIVE WITH FULL TRACEABILITY
The system runs the operation. Your team runs the system.
Keep fraud decisions accountable
Agents can monitor data, recommend defences and prepare rules or models. Your team decides where autonomy is appropriate. For counter-fraud work, most organisations keep human review around production changes, customer impact and enforcement decisions. Fortify is built to support that operating model.
Deep fraud expertise built in
Fortify agents come with fraud, payments and data science knowledge as standard, then become better tuned to your organisation’s preferences and ways of working over time.
Human judgement where it matters
Agents point out patterns, suggest mitigation strategies, write rules and train models. Human analysts choose what to investigate, what to mitigate and what enters production.
Every action traceable
Every agent action is logged for later inspection. The system operates explicitly, with actions traceable back to an AI, a human or a collaborative 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.
Put governed agents to work in your counter-fraud teams
Use agents where they help most: clearing operational drag, surfacing patterns, tuning controls and preparing evidence – while your team keeps control of the decisions that matter.
