Uncover fraud patterns without waiting for data science
Explore transactions, customers, devices and counterparties using everyday language. Each query becomes part of an investigation you can save and reuse.
Trusted by leaders in finance and technology
Get direct access to the evidence behind every decision
Explore data independently
Investigate transactions, entities and behavioural signals without writing SQL or raising data tickets. The logic is visible, so results can be trusted, checked and reused.
Investigate through conversation
Fraud rarely follows a neat path. Fortify preserves context as you narrow a cohort, inspect transactions, compare entities and move between accounts, devices and counterparties.
Capture intelligence for the whole team
Useful investigation logic can become a template, report or shared workflow. Patterns found in one case can strengthen your future reviews, rule design and fraud strategy.
A single workspace for fraud questions, data and findings
You get a direct route from hypothesis to evidence. Examine transaction behaviour, customer activity, device signals and network links in one place, with the reasoning and outputs preserved as you work.
Query fraud data without writing SQL
Test the patterns you see in queues, cases and reviews without translating your question into technical syntax. Describe the question, and the generated query, its logic and the structured results come back from the warehouse.
Search across transactions, customers, devices and counterparties using plain English
Review the generated logic before acting on the result
Stay inside the investigation rather than moving between tools or request queues
Move from first clue to deeper context
A fraud investigation often starts with one anomaly and expands quickly. The context stays live, so each follow-up builds on the last without recreating filters, dates or entity references.
Refine cohorts, time windows and entity views through follow-up questions
Move between summary trends, individual transactions and linked networks in one session
Preserve the investigation trail for case notes, audit review and team learning
Turn high-value analysis into team playbooks
When you find a strong way to investigate a fraud pattern, you can operationalise it. Saved paths can become reusable templates, recurring reports or shared workflows for similar cases.
Save queries with their parameters, context and reasoning intact
Schedule repeat checks for priority fraud patterns or emerging risks
Share outputs with analysts, team leads and second-line reviewers
Reuse the same method across new cases, fraud types and time periods
Keep the rationale behind every fraud decision
Each investigation records how it developed. The questions asked, the results returned and the conclusions reached are all kept. You get a clear evidence trail without reconstructing the analysis after the fact.
Capture queries, results and analyst notes automatically
Connect findings to the fraud rules, models or strategies they influence
Export investigation threads into case records, strategy reviews or approval packs
Give team leads and second-line reviewers a consistent view of methodology
Time to insight
Data independence
Evidence trail
Based on results from Fortify customer deployments
How it works
START WITH A FRAUD ALERT, PATTERN OR HYPOTHESIS
DESCRIBE THE ANALYSIS IN PLAIN ENGLISH
REFINE THE RESULTS AND EXPLORE CONNECTED ENTITIES
SAVE THE FINDING, TEMPLATE OR CASE OUTPUT
Every investigation leaves reusable fraud intelligence behind for the next case.
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.
Investigate your data in natural language
Detect repeat abuse patterns, investigate linked behaviour and turn confirmed policy misuse into governed controls, without slowing genuine customers down.
