AI-Driven IAM Governance

Telecom fraud has evolved into fast, coordinated attacks that combine identity compromise, SIM swaps, and abnormal usage which is often executed within minutes. Traditional rule-based systems are struggling to keep pace because modern fraud is not a single event, but a pattern across systems, behavior, and time. As telcos expand into digital services, the financial and regulatory impact continues to grow. AI offers a more effective approach by detecting these patterns through sequence, velocity, and behavioral analysis, but it also introduces challenges around privacy, explainability, and integration. This whitepaper outlines how telecom organizations can shift from reactive detection to an AI-driven, identity-centric fraud framework, combining intelligence, governance, and operational readiness.

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