Know the endpoint
Jailbreak, emulator, app tampering, malware, bots, remote access and device sharing.
Fintech & Payments / MINT Sentinel
Fraud control from device behaviour to transaction decision.
MINT Sentinel is a real-time fraud intelligence platform built for payment and fintech environments. It connects device, network, location, behaviour, relationships and transaction context—then turns that evidence into a governed decision.
SystemMINT SentinelBuilt byTechMojoDecisioningRules + graph + ML
Fraud risk forms across a session: a compromised device, remote access, a suspicious network, impossible travel, changed behaviour, a risky beneficiary, or an amount that breaks with history.
MINT Sentinel joins those signals at decision time. Deterministic policies handle known threats and mandatory actions. Graph intelligence reveals relationships between users, devices and beneficiaries. Machine learning identifies anomalies that static rules cannot anticipate.
Read the behaviour
Typing, swipe, touch, orientation and session change patterns create behavioural context.
Test the environment
VPN, proxy, TOR, IP reputation, data-centre hosting, IP shifts and impossible travel.
Assess the action
Time, amount, history, beneficiary risk, connected entities and learned fraud probability.
Decision architecture
From raw telemetry to an explainable action.
Streaming evidence moves through specialised engines before a decision service returns allow, challenge or block.
MINT SENTINEL / REAL-TIME DECISION PATHTelemetry and evaluation remain inside the governed deployment
Capture
Device SDK and transaction APIs collect scoped session and payment telemetry.
Build features
Streaming aggregation creates current and historical features over sliding windows.
Evaluate
Rule, graph and supervised or unsupervised ML engines contribute evidence.
Decide
The decision service returns an action with risk evidence and mandatory overrides.
STATE + EVIDENCEStreaming events · session features · relationships · feedback · model versionsAuditable by design
DETERMINISTIC AUTHORITY
What must always hold
- Known threat and compliance rules
- Mandatory challenge or block actions
- Score thresholds and decision policy
- Identity, access and audit controls
- Repeatable decision evidence
LEARNED INTELLIGENCE
What requires adaptation
- Behavioural anomaly detection
- Fraud probability estimation
- Entity and relationship risk
- Changing attack-pattern discovery
- Investigation prioritisation
OPERATING PRINCIPLEA high-risk mandatory signal can force a challenge even when the weighted score would otherwise allow the transaction.
Powered by TechMojo Intelligence Fabric
Fraud intelligence without surrendering the trust boundary.
The Fabric provides sovereign execution, shared context, governed tools and model routing around MINT Sentinel. Models can change as fraud patterns, cost and policy evolve; the decision contract remains stable.
Deployment boundary Client VPC · private cloud · on-premisesModel strategy Supervised · unsupervised · specialist · replaceableOptimisation target Risk caught per unit of intelligence cost
Explore Intelligence Fabric