Ray Security | Data Access Review (DAR)

Why It Matters

As organizations grow, permissions accumulate and drift away from actual usage, creating risk and compliance gaps.

Ray Security’s predictive data platform enables you to:

Comply with regulation and ensure least privilege access to data
Map who can access data versus who actually does.
Remove unused or excessive rights to improve security.
Enforce Just Enough Access (JEA) so identities only keep the rights they truly need.
Automate reviews that keep enterprises audit-ready at all times.

Tighter Control

Align Access with Reality

Map who can access data vs. who actually does, ensuring permissions align with JEA principles.

Healthier Hygiene

Clean Up Excessive Rights

Identify and clean up unused or excessive rights before they become risks.

Audit Confidence

Be Always Audit-Ready

Automated reports prove compliance and reduce manual review work.

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Compare Current Permission With Needed Permissions

Capture the gap between granted permissions and actual data usage. Highlight dormant rights and accounts exceeding Just Enough Access (JEA) limits.

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Review and Enforce

Enable access reviews campaigns, providing tight ownership and permission hygiene. Remove unnecessary rights and enforce the principle of least privileges to data across the organization.

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Fortune 500 Retail Bank

Reduced inactive permissions by 60%
Cut privileged identities exceeding JEA by 40%
Completed audit prep 85% faster

Multi-Billion Healthcare Provider

Lowered risk exposure on their entire data estate by over 65%
Saved 2500+ hours/year in manual reviews
Passed HIPAA audit without findings

SaaS Vendor

Reduced write-access roles by 70%
JEA violations dropped by 65%
Minimized insider access notification and alerts by over 80%

Retail Chain

Removed excess vendor access by 60%
Achieved least-privilege without disrupting operations
30% reduction in license costs by eliminating unused rights

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Next-Gen Data Loss Prevention (DLP)

Protect data as it moves with unmatched visibility while extending the timeline to not only the past, but also the future. Ensure access justification, privacy, and confidentiality, and prevent unauthorized, uncontrolled, and unaudited data use.

Control the data visibility based on data behavior patterns, time, and justification. Enforce record-limited access, ensuring insiders see only what they need.

Control the data accessed by LLMs like Copilot, ChatGPT Enterprise and Glean. Manage agentic AI access and prevent AI from revealing sensitive information. Maintain data lineage across all AI interactions.

Prioritize and reduce blast radius: cut data exposure by 90% with predictive protection. Focus on critical data for faster, broader, and more precise security (secure-by-default), even for partially unclassified data.

Make 90% of data immutable by default. Monitor and ensure recoverability of writable data. Detect encryption activity and contain spread immediately.

Identify waste and reduce unnecessary costs: focus on accessed data and match access profile with cost-performance profile. Automate access retirement and cold data archiving. Integrate with existing infrastructure.

Continuously monitor identity behavior tied to data access. Detect suspicious data access in real time regardless of entity privileges. Apply protections instantly to contain the threat.