Protect Your Customers Against Identity Fraud

Keith Lax, ForgeRock's pre-sales engineering lead, explains how artificial intelligence and machine learning are used across identity management to fight fraud. He frames AI's role in two buckets: analysing very large data sets, such as governance certification campaigns, and comparing user behaviour to build peer groups, then feeding the resulting signals into front-end access decisions such as step-up authentication and continuous zero trust reassessment. He argues most fraud projects struggle less with detection algorithms than with the orchestration layer that turns a risk score into an actual application decision without redeploying every client app. Concrete attack examples include credential stuffing at login, AI-crafted phishing emails timed to mergers and acquisitions anxiety, and bots that simulate human typing rhythm and mouse movement, all countered by comparable AI-driven detection, including using AI to spot AI-written phishing text. He walks through an orchestration canvas where teams tune which risk signals are checked and when, and closes on dashboards administrators use to see why a user was stepped up and to justify the program's cost. Q&A is invited but not shown in the recording.