ShadowSight gives organisations visibility into how sensitive data is actually being used day to day. It focuses on authorised behaviour that can quietly turn into risk, rather than obvious rule-breaking. By applying context around role, timing, volume and change, ShadowSight filters out routine activity and surfaces the small number of behaviours that genuinely matter. Most organisations use it as a managed service, so risk is reviewed by experienced analysts and only clear, defensible issues reach internal teams.
This video introduces what ShadowSight is and why it exists. It explains how data leakage usually starts with normal work rather than malicious intent, and why traditional DLP tools struggle to catch that early. You’ll see how ShadowSight takes a risk-based approach, reducing noise and false positives while giving teams clear, usable insight into where sensitive data is moving and why.
This walkthrough shows how potential risk is surfaced and handled inside the ShadowSight platform. It steps through the Alerts view, explains how alerts are prioritised, and shows the context available to reviewers. The focus is on practical decision-making, not alert volume, demonstrating how issues are assessed, escalated when needed, and closed with a clear audit trail.
This video looks at how ShadowSight is used proactively, not just reactively. It shows how early indicators of risk are identified, how behaviour changes once safer handling is reinforced and how custom alerts are used during higher-risk periods like role changes or employee exits. The walkthrough highlights how organisations can intervene early, reduce repeat issues and address risk while work is still happening.