Consortium | Data Security Risk Assessment

Data is now the most targeted asset in the enterprise — and with AI accelerating data usage, exposure grows faster than most teams can track. Consortium’s Data Security Risk Assessment gives you full visibility into where sensitive data exists, how it moves, who can access it, and where controls are failing. We identify gaps in governance, compliance, and security posture so you can reduce risk, support safe AI adoption, and make informed investment decisions.

As generative AI systems ingest data, integrate with third-party tools, and automate workflows, new attack surfaces emerge: over-permissioned connectors, unclassified data stores, shadow AI usage, and risk of sensitive information being learned or leaked. Without clear oversight, organizations cannot govern AI responsibly or respond to incidents with confidence.

Our assessment combines automated discovery and classification with expert-led analysis across 30+ data control domains informed by COBIT 2019, DAMA-DMBOK, ISO/IEC 27001, NIST SP 800-53, and NIST CSF. Powered by leading data security technology and enhanced with OSINT, dark web intelligence, and external exposure discovery, we deliver an actionable picture of your data risk — and a roadmap to reduce it.

Comprehensive Data Visibility

A clear view of what data you have, where it lives, who can access it, and how it’s protected — across SaaS, cloud, and on-prem environments. Sensitive data is automatically classified (PII, PHI, PCI, IP), mapped, and traced to business systems and growth trends.

Outcome: You finally know your true data footprint — no blind spots, no assumptions.

Risk Prioritization That Guides Action

Security controls and vulnerabilities are prioritized based on sensitivity, exposure, likelihood, and business impact. Peer benchmarking helps quantify risk relative to organizations of similar size and industry.

Outcome: Leadership sees which risks matter most — and where investment moves the needle fastest.

AI-Ready Data Governance

We assess identity access (including AI assistants/Copilots), flag over-permissioned accounts, and uncover third-party sharing paths that increase exposure.

Outcome: You have the governance foundation required for safe generative AI adoption — built on real data, not policy theory.

Best-in-Class Technology

Powered by automated discovery & classification

We use industry-leading data security platforms with agentless scanning, AI-driven classification, and deep context on data location, type, sensitivity, lineage, and access. Discovery works across cloud, SaaS, and on-prem environments — without operational disruption.

Expert-Led Evaluation

Guidance that no tool alone can provide

Our team evaluates 30+ controls across governance, access, encryption, monitoring, incident response, data lifecycle management, and compliance frameworks. You receive practical insight, not just dashboards, with the “so what” and “what to do next.”

Comprehensive Intelligence

Visibility inside and outside your perimeter

We enrich assessment data with OSINT, dark web exposure checks, breach credential discovery, and external attack surface mapping — revealing risks automation often misses and uncovering hidden exposure paths created by AI and third-party integrations.

Data Security Risk Assessment

Know Where Your Data Lives —
And How Exposed It Really Is