Card fraud controls that spot risk before exposure spreads
Detect early signals of compromise, misuse and programme - level attacks across authorisations, wallets, devices and merchant activity – then build rules or models in minutes to protect approved spend without adding unnecessary friction.
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Trusted by leaders in finance and technology
Detect card risk early, act before exposure spreads
Spot compromise signals early
See the changes that often appear before fraud scales. Unusual spend, a new device, a wallet enrolment attempt, account behaviour that no longer fits the cardholder.
Build the fix in minutes
When early signals point to a new attack pattern, build, test and deploy new rules or model updates across card programmes, BINs, regions and segments in minutes.
Protect trust and approved spend
Tighten control where exposure is rising while keeping genuine cardholder activity moving. Every decision is explainable, measurable and connected to the outcomes that follow.
One operating layer for authorisation decisions, cardholder behaviour and rapid control change
Card issuing fraud starts with early signals across authorisations, tokenised wallets, account changes, merchant patterns and programme-level activity. Bring those signals together and your team can act before exposure spreads, while legitimate cardholders keep moving.
Approve, step up or decline with better context
Make authorisation decisions using a fuller view of the cardholder journey. Transaction behaviour, customer context, device signals and merchant activity come together, so your team can act on early risk and keep controls as specific as the risk in front of them.
Assess card transactions using behavioural, device, merchant and account signals
Trigger step-ups only when the risk justifies the friction
Apply different strategies by card programme, BIN, geography, segment or spend pattern
Keep the rationale behind every approval, decline or review visible
Catch compromise signals before cards are misused
Compromise often shows up before the fraudulent spend: a new wallet enrolment, changed device, unusual account access or risky funding update. Fortify helps you spot those moments and adjust treatment before exposure grows.
Detect risky wallet provisioning, new device activity and rapid enrolment attempts
Link token usage, cardholder behaviour and account changes in one view
Surface compromised card or credential patterns before downstream fraud scales
Route higher-risk journeys into step-up, hold or review workflows
Contain early attacks by BIN, merchant, CPP, channel or cohort
Issuer fraud can escalate quickly across programmes. Your team can find the pattern behind the losses, whether that's enumeration, CPP exposure or merchant concentration, and turn it into a tested control.
Detect BIN attacks, enumeration attacks, sequential attempts and unusual failure ratios
Identify merchant, CPP, region, channel and cohort-level exposure
Surface emerging patterns across cardholders, devices and counterparties
Build, test and deploy new rules or models from confirmed attacks in minutes
Improve authorisation strategy with every outcome
Card controls should learn from what happens after the decision. Approvals, declines, step-ups, disputes, chargebacks and confirmed fraud all connect back to the rules and models that shaped them.
Measure false declines, fraud capture, dispute losses and rule performance
Backtest control changes before they affect live authorisations
Identify where controls are too broad, too narrow or losing precision
Maintain a clear audit trail from signal to decision to outcome
Investigate issuing fraud patterns without adding manual workload
Fortify agents help triage issuing fraud alerts, identify linked activity, recommend control changes and assemble decision evidence – while your team keeps control over thresholds, approvals and deployment.
Summarise the drivers behind cardholder, merchant or BIN-level anomalies
Recommend rules or tuning actions based on emerging issuing fraud patterns
Prioritise review queues by exposure, velocity and confidence
Prepare evidence for disputes, internal review and governance packs
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Add smarter fraud controls to your existing issuing programme
Implementation led by experts
Works alongside your existing processor, programme logic and review workflows, so you can improve card fraud decisions without rebuilding your issuing stack.
Built for measurable impact
Track approval quality, fraud losses, false declines, dispute outcomes, review volumes and analyst workload from day one.
Runs on your data
Works with your existing card, customer, merchant, device and behavioural data so you can improve decisions without losing control of your infrastructure.
Authorisation speed
Cardholder trust
Programme control
Based on results from Fortify customer deployments
How it works
CARD TRANSACTION, WALLET ENROLMENT OR ACCOUNT CHANGE OCCURS
EARLY CUSTOMER, DEVICE, MERCHANT AND BEHAVIOURAL SIGNALS ARE ASSESSED
FORTIFY APPLIES THE RIGHT ACTION: APPROVE, STEP UP, DECLINE OR REVIEW
TEAMS BUILD OR UPDATE RULES AND MODELS IN MINUTES
Every issuing decision strengthens the system behind it. You detect risk earlier, contain attacks faster, reduce false declines and turn new patterns into live controls in minutes.
One modular system for fraud and AML, built around how teams actually work
Related articles
Regulatory guidance and industry context for financial crime professionals.
Protect approved spend and cardholder trust
Detect compromise early, contain programme-level attacks and turn confirmed patterns into live controls, without adding friction to genuine cardholders.
