When transaction volumes grow, alert queues grow with them. The team rarely does.

Banks manage layered risk across products, entities and jurisdictions. As volumes rise, detection gaps open, rules drift and analyst time goes to the wrong work. Fortify gives fraud and AML teams what they need to close those gaps, built 
by people who have run these programmes at large financial institutions.

User interface with Ask Fortify AI prompt and a typed question about evidence in AML data.
Your World

High volumes, real gaps

As your product evolves, risk changes faster than your controls.

Data in every system, 
insight in none

Banks hold onboarding records, transactions 
and case files going back years. Most of it sits 
in systems that were never designed to talk to each other. Without the full picture, the patterns that span accounts, entities and geographies stay hidden.

A new typology lands. 
The rule change is still weeks away.

Every new typology, product or corridor requires 
a rule change. Getting that change through engineering queues takes weeks the fraud doesn't wait for.

Your most experienced analysts are doing your least analytical work.

Most of what an AML analyst does in a week does not require an AML analyst. Alert triage, SAR narrative drafting, case documentation. These tasks consume capacity without adding analytical value, and they are where the staffing problem actually lives.

Anti-financial crime capabilities

Built for fraud teams,
AML teams, or both

Fraud and AML functions at banks often run on separate tools, with separate workflows and reporting chains. Fortify brings detection, testing, investigation and regulatory reporting into one system. For fraud, for AML, or for both.

01

Connect fraud signals across your systems

Bank fraud rarely sits in one system. Payment flows, account changes, device signals and customer context spread across platforms, letting coordinated patterns build undetected until losses scale.

Link activity across accounts, channels and entities to surface coordinated abuse

Detect emerging patterns by combining behavioural and transactional signals

Prioritise by exposure and likely loss impact

Investigate from a unified view, with full context in one place

02

Reduce false positives, protect the customer journey

Banks face constant pressure to stop fraud without adding friction. Testing changes against historical data, seeing downstream impact before deployment and maintaining a clear evidence trail makes control tuning fast and defensible.

Backtest rule and threshold changes on real history before deployment

Measure trade-offs: catch rate, false positives, operational load, customer impact

Segment controls by product, channel, customer cohort or corridor

Deploy changes without engineering support

03

Emerging pattern to tested control, same day

Attackers adapt faster than quarterly releases. When a new pattern surfaces, translating analyst insight into rules or models, validating against your data, and deploying safely should take hours.

Write and amend rules in plain language, without SQL or engineering support

Retrain models from analyst-observed patterns, with human judgement in the loop

Compare approaches side-by-side before deployment: volume, precision, impact

Rollout with a clear record of what changed and why

"Coordinated fraud used to hide across our systems until losses scaled. Now the signals sit in one view, and a new pattern becomes a backtested, live control the same day."

Name
Title

Head of Fraud

Why choose Fortify

  • 01

    Built by people who've run bank programmes

    The team has run fraud and AML functions at large financial institutions, so the platform reflects where detection gaps actually sit, what makes control updates slow, and where analyst time goes.

  • 02

    Controls your team can update without engineering

    Rules and scenarios can be written, backtested and deployed by fraud and compliance directly, without waiting on IT queues.

  • 03

    A team that stays accountable after go-live

    After launch, the team works alongside yours and stays accountable for what the programme produces.

Outcomes

Single view

fraud signals connected across accounts, channels and entities

Fewer false positives

controls tuned without adding customer friction

Same-day

new fraud pattern to backtested, live control

Based on results from Fortify customer deployments

BUILT FOR THE PEOPLE WHO CARRY THE RISK

Volumes keep rising. Your controls need to keep up.

Fortify is built for the people accountable when detection gaps open across products, entities and jurisdictions – Heads of Financial Crime, MLROs and fraud and AML teams at banks and large financial institutions, carrying regulatory scrutiny across the whole book. The platform is designed by practitioners who've run these functions, and backed by a team that works alongside yours in the day-to-day.

Built by practitioners

Every feature was designed by people who've sat in your seat – running fraud and AML programmes at large financial institutions, accountable for detection coverage across every product and jurisdiction. The product works the way your team already thinks.

Your team + our team

Decision-making software backed by embedded expertise. Your fraud, risk and compliance teams get both the platform and the people to run it with.

Governed Agents

Assist analysis without losing control

Risk spans products, entities and jurisdictions. Surface it early, with human judgement intact.

  • Surface patterns that span accounts, entities and geographies before they backlog

  • Flag where detection is drifting across products and jurisdictions

  • Link related accounts and entities for faster investigations

  • Keep all actions visible and reviewable

For teams operating under regulatory scrutiny.

Step 1

Describe the attack. For example: a cluster of bank-detail changes hits your contractor population 48 hours before payday.

Step 2

Get a retrained model in minutes, built from your input and Fortify's detection logic.

Step 3

Test before deploying. Human judgement stays 
in the loop.

3 minutes. Not months.

01

Spot coverage gaps before they become exam findings

AML risk moves across entities, products and geographies. When data is split across core systems, onboarding, payments and case tools, gaps in monitoring are hard to see until a review forces the issue.

Link customers, accounts, entities and counterparties to surface hidden connections

Coverage visibility by product, jurisdiction and customer segment

Monitoring logic tied to the data it relies on, with gaps surfaced clearly

Risk ratings that update as customer behaviour and exposure change

02

Write, test and deploy AML controls without engineering

When a new typology surfaces or a corridor changes risk profile, AML teams need to respond quickly. Pre-built typologies give a starting point; from there, scenarios can be written, backtested and deployed without a development queue.

Pre-built typology monitoring across products and jurisdictions, calibrated by segment

Write and amend scenarios in plain language, without SQL or engineering support

Backtest against historical data before anything goes live

Calibrate thresholds by segment and risk tier to reduce noise without losing risk capture

03

Evidence built as you operate, traceable from control to outcome

Banks are judged on consistency and defensibility – whether decisions are traceable, well-reasoned and tied to obligations. Structured case files and a complete audit trail linking controls, investigations and outcomes means exam readiness is continuous.

Structured case files capturing rationale, evidence and outcomes end-to-end

Rule-to-obligation traceability and continuous audit trail

Consistent decisions across teams and jurisdictions

Reporting outputs generated from the workflow, without manual reconstruction

"For the first time, our monitoring actually reflects our risk view. We're not running two separate systems any more – risk scoring and monitoring are one conversation."

Name
Title

Head of Financial Crime

Why choose Fortify

  • 01

    Built by people who've run bank programmes

    The team has run fraud and AML functions at large financial institutions, so the platform reflects where detection gaps actually sit, what makes control updates slow, and where analyst time goes.

  • 02

    Controls your team can update without engineering

    Rules and scenarios can be written, backtested and deployed by fraud and compliance directly, without waiting on IT queues.

  • 03

    A team that stays accountable after go-live

    After launch, the team works alongside yours and stays accountable for what the programme produces.

Outcomes

No blind spots

coverage gaps surfaced before they become exam findings

Hours not weeks

new typology to deployed 
AML control

Always audit-ready

evidence and traceability built
as you work

Based on results from Fortify customer deployments

BUILT FOR THE PEOPLE WHO CARRY THE RISK

Volumes keep rising. Your controls need to keep up.

Fortify is built for the people accountable when detection gaps open across products, entities and jurisdictions – Heads of Financial Crime, MLROs and fraud and AML teams at banks and large financial institutions, carrying regulatory scrutiny across the whole book. The platform is designed by practitioners who've run these functions, and backed by a team that works alongside yours in the day-to-day.

Built by practitioners

Every feature was designed by people who've sat in your seat – running fraud and AML programmes at large financial institutions, accountable for detection coverage across every product and jurisdiction. The product works the way your team already thinks.

Your team + our team

Decision-making software backed by embedded expertise. Your fraud, risk and compliance teams get both the platform and the people to run it with.

Governed Agents

Assist analysis without losing control

Risk spans products, entities and jurisdictions. Surface it early, with human judgement intact.

  • Surface cross-corridor patterns before they backlog

  • Flag where detection is drifting across products and jurisdictions

  • Link related accounts and entities for faster investigations

  • Keep all actions visible and reviewable

For teams operating under regulatory scrutiny.

Step 1

Describe the attack. For example: a cluster of bank-detail changes hits your contractor population 48 hours before payday.

Step 2

Get a retrained model in minutes, built from your input and Fortify's detection logic.

Step 3

Test before deploying. Human judgement stays 
in the loop.

3 minutes. Not months.

Explore more

One modular system for fraud and AML, built around how teams actually work

Fraud

Proactive fraud detection in real time.

AML

End-to-end anti-money laundering.

Related articles

Regulatory guidance and industry context for financial crime professionals.

Built for fraud and AML teams who care about outcomes

Detection that's calibrated, controls that update without queues, evidence that holds up.

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