Data Residency and AI Inference Architecture in Insider Risk Platforms
Where AI inference runs decides whether your platform can correlate cross-border risk signals.
Priya Venkataraman
Section
Cost and Deployment
6 stories in Cost and Deployment.
Professional Services Dependency in Legacy DLP Implementations
Legacy DLP's static rules demand permanent expert tuning.
Darnell Okafor
On-Premise vs Cloud-Hosted Insider Threat Platform Deployment Tradeoffs
Architecture determines detection capability more than infrastructure choice alone.
Renata Szymańska
Integration Complexity When Connecting Insider Risk Platforms to Enterprise Identity Stacks
Identity data fragmentation and latency make insider risk scoring unreliable.
Darnell Okafor
Staffing Requirements for Running a Behavioral Insider Risk Program
Behavioral programs need cross-functional teams, not alert-processing analysts.
Priya Venkataraman
Realistic DLP Deployment Timelines at Fortune 500 Scale
Realistic timelines demand 18-24 months, not the three-to-six-month fantasy vendors pitch.
Darnell Okafor