Fraud Detection
AI-powered fraud and anomaly intelligence
Surface suspicious behavior, score risk, connect entities and hand investigators a case they can act on, with the reasoning attached.
Investigation
From signal to case
Risk score
Anomalies
Circular payments · Rapid account cycling · Shared address
Evidence
14 transactions · 3 documents · 2 entity matches
Related cases
CASE-2291 · CASE-2340
AI explanation
Transaction pattern deviates from the entity's 12-month baseline and mirrors a known layering structure.
Recommended investigation
Escalate to the financial crime unit for manual review
Capabilities
Detection and investigation in one workflow
- Transaction anomaly detection
- Behavior analysis
- Pattern recognition
- Suspicious activity detection
- Risk scoring
- Entity relationship analysis
- Document fraud detection
- Case prioritization
- AI-assisted investigation
How it works
From scattered signals to prioritized cases
Fraud Detection combines AI scoring, rules and relationship analysis so investigators see the riskiest cases first, with the reasons.
01
Collect
Bring together transactions, declarations, documents and entity data.
02
Score
Models and rules score each case for risk and explain the drivers.
03
Connect
Relationship analysis reveals links between people, companies and events.
04
Investigate
Investigators review the evidence and record their decision.
Inside the product
Core components
Risk scoring
Explainable scores for every case.
Relationship graph
See hidden links between entities.
Classification
Check that goods, claims or transactions are declared correctly.
Rules
Known fraud patterns your teams can define and tune.
Case management
Queues, assignments and decisions in one place.
Feedback loop
Investigator decisions improve future scoring.
Connected platform
How it works with the rest of BrainShift
Security and deployment
Runs under your control
- ▸Runs on premises, in a private or sovereign cloud, or fully disconnected.
- ▸Role-based access aligned with your directory and data permissions.
- ▸Every result traceable to its source, with a full audit trail.
- ▸People review and approve high-impact findings before action.
Questions
Frequently asked
Is it used in production?
Yes. CSP delivered the Al Munasiq on-premises AI fraud detection and classification system for Dubai Customs.
Can investigators see why a case was flagged?
Yes. Every score shows the signals behind it.
Does it block transactions automatically?
Only if you configure it to. By default it prioritizes cases for people to review.
Does sensitive data leave our network?
No. It can run fully on premises.
Prioritize the cases that matter
Bring your data, knowledge, AI models, workflows, and AI agents together through one secure enterprise AI platform.