Challenge identity evidence, not only identity data
Synthetic identities and deepfake-enabled impersonation can combine plausible information with manipulated evidence. Controls need layered verification rather than reliance on a single signal.
Use analytics with accountable decisions
AI can help prioritise anomalies and connected fraud patterns, but investigation quality, explainability and escalation remain essential.
- Monitor model performance and false positives
- Keep human review for material interventions
- Record decision logic and control ownership
Design for cross-channel behaviour
Fraud journeys frequently combine messaging, voice, identity, device and payment signals. A joined view improves detection and reduces fragmented response.