Financial crime operations, accelerated in Snowflake
Design and test rules faster, resolve alerts quicker and export audit-ready evidence on demand. It's transaction monitoring that runs inside Snowflake, installs quickly and starts adding value from day one.
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Trusted by leaders in finance and technology
Move faster on risk, with the oversight and control to back every decision
Turn risk insight into live controls
Create and refine AML rules directly in a visual editor. Test performance on your own data before release, without waiting on a build cycle.
Investigate through conversation
Ask questions in everyday language and follow the trail from alert to answer. Analysts get the context they need without writing SQL.
Keep evidence ready as you go
Connect obligations, risks and controls in one place. See what changed, why it changed and how it affects coverage before review time.
One system. Modular by design.

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Build, test and ship detection rules without engineering
You know what suspicious behaviour looks like. Now you can turn that expertise into working rules yourself, without translating requirements into engineering tickets or waiting weeks for a build.
Design rules in a visual, no-code editor. Set behaviours, thresholds and parameters while AI highlights edge cases as you build
Backtest on historical data to understand alert volumes, false positives and rule sensitivity before anything goes live
Link every rule to the typologies, scenarios and regulatory requirements it addresses, with version control and audit trail built in
From question to answer, without writing a query
Analysts can explore transaction data in plain language, against the same Snowflake tables your controls run on. They move from an alert to the context around it without writing SQL or waiting on another team.
Ask questions in natural language and get instant, visual answers that highlight what matters
Save cases and analyses as reusable artefacts, so team judgement compounds over time
Make analytics accessible to every team member who needs them, no data-science background required
Know what you monitor, why you monitor it, and whether it works
Your team gets one place to define its risk posture, map obligations to controls and generate the evidence that proves coverage to regulators.
Tie every control to typologies, scenarios and red flags, with references to applicable regulatory requirements
Propose risk posture changes and see how they affect your full rule set before they take effect
Export traceable, regulator-ready evidence and change history across customers, products and regions
Go live in days
Fortify runs as a Snowflake Native App inside your account. Your data never leaves your environment, and there are no shadow pipelines, separate infrastructure or duplicated datasets to manage.
Deploy in minutes via Snowflake Marketplace
Receive versioned updates and patches automatically, without rebuilds
Govern access through your existing Snowflake roles and policies, with enterprise security built in
Rule changes
False positive reduction
Operational burden
Based on results from Fortify customer deployments

What running inside your warehouse gives your team
No integration tax
Data engineering is scarcer than budget. Traditional vendors give the software away, and the real cost lands later, in the integration work. Someone has to find a data engineer, pipe the data across and keep it running. Because Fortify runs inside your account, none of that applies, and your governance, roles and security controls work from day one.
Detection you can test on real history
AML logic runs on the same warehouse as your finance, product and risk data. Teams can test a new rule against full transaction history, see the alert volume it would generate and adjust it, all before it goes live.
A sensible on-ramp for AI
When AI agents and models sit next to clean, governed data, you don't need to build new pipelines to try something. Access runs through your existing governance, so you control exactly what the AI can see.
Your data stays yours
Every query, model and automation runs against data you own and control. Your data stays in your account.
One modular system for fraud and AML, built around how teams actually work
Related articles
Regulatory guidance and industry context for financial crime professionals.
Go live in days, on the data you already trust
Fortify installs inside your Snowflake account, so there's nothing to move and nothing new to secure before you start.





