Managing Insider Risk: A Practical Guide for Modern Organizations

Insider risk is one of the most costly and persistent causes of data loss, and it isn’t just caused by bad actors. More than half of insider incidents involve employees simply doing their jobs: accidental oversharing, misplaced files, over-permissioned access, shadow IT and AI tools that can expose sensitive data in seconds.

How do you understand and mitigate these risks without stopping legitimate business? This guide answers that question with a practical framework for reducing data risk across the organization.

What you’ll learn:

• The three forms of insider risk: accidental or negligent, malicious and compromised
• Where data governance and insider risk programs intersect
• How AI tools have expanded the insider risk surface
• A five-step framework for continuous data risk management: Discover, Classify, Prioritize, Remediate, Protect
• Key data security capabilities required to implement an insider risk program