Data Discovery Gaps Reveal Hidden Shadow Data, Undermining Enterprise Compliance and Integration
What Happened – Schellman’s CEO Avani Desai highlighted how enterprises routinely over‑estimate their data visibility. Independent discovery scans repeatedly uncover shadow data in abandoned cloud buckets, legacy SaaS exports, and de‑commissioned environments, often surfacing after costly mergers.
Why It Matters for TPRM –
- Incomplete data inventories lead to flawed risk assessments and governance decisions.
- Undetected datasets can trigger regulatory exposure, costly remediation, and integration delays in M&A.
- Reliance on “mature” tooling without validation creates a false sense of security.
Who Is Affected – Large enterprises across technology, finance, and healthcare that rely on cloud storage, SaaS applications, and legacy on‑prem systems.
Recommended Actions – Conduct independent, periodic data‑discovery scans; reconcile scan results with existing catalogs; embed data‑map validation into M&A due‑diligence checklists; enforce retention policies for all discovered assets.
Technical Notes – The gap stems from mis‑configurations and abandoned resources rather than a specific vulnerability. No CVEs are cited. The primary data types exposed include PII, PHI, and proprietary business records. Source: Help Net Security