Most organizations structure their insider risk programs around functional silos — separate teams in IT security, HR, fraud, and compliance each managing their own data and policies. The problem? Sophisticated insider threats don't stay in one lane. In this whitepaper, Dr. Frank L. Greitzer, Chief Behavioral Scientist at Cogility Software, examines why a centralized, integrated IRM approach outperforms federated and decentralized models — and why the difference matters for insider risk program effectiveness.
Inside this paper:
- Why siloed IRM models create blind spots — and how sophisticated insiders exploit the gaps between departments
- How centralized programs enable early, proactive detection by correlating behavioral and technical signals across all functional areas using whole-person analysis
- A side-by-side comparison of centralized, federated, and decentralized governance models — including real trade-offs in detection capability, policy enforcement, and resource efficiency
- How government agencies are doing it — real-world examples of centralized IRM hubs delivering consistent, holistic risk assessments across their enterprises