AI Agents in Telecom Fraud Management

Learn how AI Agents can transform telecom fraud management by automating detection and investigation, reducing alert fatigue, and orchestrating faster, real-time fraud response

In this whitepaper, you will learn how AI Agents help risk and fraud teams:

Move beyond rules engines and siloed workflows with 24/7 autonomous agents that learn continuously and act in near real time
Reduce fraud losses impact with a modern approach, as global telecom fraud losses are reported at $41.820B ( 2.46% of industry revenue)
Cut investigation workload by auto-gathering data and drafting case reports in seconds (versus hours of manual effort)
A step-by-step approach to advance Business Assurance
Tackle core operational challenges: knowledge loss, rapidly evolving fraud tactics, complex investigations, regulatory requests, and alert fatigue
Understand the key capabilities of AI Agents: Autonomy, Perception, Reasoning, Action, Adaptability, and Governance & Control (with human-in-the-loop oversight)
Apply AI Agents across fraud operations: domain support and faster onboarding, end-to-end case investigation, proactive discovery of unknown unknowns, and group-wide intelligence sharing via federated learning
Read a landmark proof point: a full-scale deployment of AI Investigation Agents targeting high-loss fraud schemes like Wangiri and IRSF

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