At 11:47 p.m., a senior engineer mirrors a source-code repository to a personal account. DLP sees an authorized user. IAM sees valid credentials. UEBA sees activity it can explain. Every control is green.

The controls are not broken. They are answering the wrong question.

Through three anonymized case files, this session examines insider risk that hides inside legitimate access: an employee preparing to leave, a trusted user whose access is valid but intent is not, and a non-human agent operating with an employee token and broad SaaS permissions. One case begins with shadow AI. One never violates an access policy. One has no human insider at all.

Using real investigation patterns and current 2026 breach research, the session shows why isolated alerts and traditional boundary-based controls miss the context that makes ordinary activity risky. Attendees will learn how to connect behavior across identity, applications, data and organizational context; distinguish unusual activity from meaningful risk; and move from alert-driven monitoring toward behavioral investigation.

No product pitch. Just three cases, what existing controls saw, what they missed, and the questions security teams need to ask next.