Topic starter
25/06/2026 12:25 am
TL;DR: Financial institutions are facing synthetic identities, account takeovers, APP scams, BNPL abuse, and AI-driven bot fraud while AML, KYC, and sanctions obligations grow more complex, according to Transmit Security and KuppingerCole. The real shift is that fraud prevention is becoming an identity governance problem, where customer identity, behavioural signals, and investigation workflows have to be managed together rather than in separate control planes.
Editorial analysis by NHI Mgmt Group, based on content published by Transmit Security: “Transmit Security Recognized as an Overall Leader in Fraud Reduction Intelligence Platforms for Finance”.
Key questions
Q: How should security teams combine CIAM and fraud signals for customer identity risk?
A: Security teams should combine CIAM and fraud signals at the point of onboarding and authentication, not only during post-event review.
Q: Why does separating fraud operations from identity governance create more false positives?
A: Separating them forces teams to make trust decisions without the full identity context.
Q: What are the warning signs that fraud controls are too fragmented?
A: Common signs include duplicate investigations, inconsistent customer friction across channels, slow escalation from onboarding to case review, and fraud signals that never reach identity decision points.
Practitioner guidance
- Map fraud signals into CIAM decision points Connect onboarding, authentication, and session telemetry to fraud scoring so risky identities are evaluated before trust is granted.
- Unify fraud and identity case workflows Route suspected fraud cases through shared identity evidence, investigation notes, and escalation ownership so teams do not duplicate reviews.
- Use behavioural and device telemetry as control inputs Treat liveness, device integrity, session anomalies, and bot indicators as active governance signals, not passive monitoring outputs.
Bottom line: Fraud reduction is no longer a standalone fraud-team problem when identity proofing, authentication, and case management all influence the same trust decision.
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25/06/2026 9:20 am
Fraud reduction intelligence is now an identity governance problem, not just a detection layer. When fraud signals, CIAM, and investigation workflows sit in different control planes, institutions end up making trust decisions with incomplete context. The result is slower fraud response, more manual reconciliation, and inconsistent treatment of legitimate customers versus attackers. Fraud governance now has to sit where identity is issued, assessed, and reviewed.
A few things that frame the scale:
- U.S. fraud losses are projected to reach $40 billion by 2027.
A question worth separating out:
Q: Should organisations prioritise fraud reduction intelligence over traditional KYC checks?
A: No. The stronger model is to combine them. KYC establishes a baseline identity relationship, while fraud reduction intelligence adds live behavioural and device evidence that can confirm or challenge that baseline. In practice, fraud governance should complement KYC rather than replace it.
👉 Read our full editorial: Fraud reduction intelligence now sits inside identity governance