Ray Security | AI Data Access Governance

Why It Matters

AI tools like Copilot can access vast amounts of enterprise data, creating new risks for sensitive information exposure. Ray Security’s predictive data security platform enables to:

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

AI-Aware Access Control

Control Data Accessed by LLMs and AI Agents

Precisely control which data AI tools can access based on sensitivity, user context, and business need, preventing unauthorized AI interactions.

Agentic AI Management

Manage Autonomous AI Access Across Systems

Govern how agentic AI systems access and interact with enterprise data, ensuring autonomous operations remain within security boundaries.

Prevent Leakage

Control What AI Agents Can Access, Learn from, and Reveal

Block sensitive content from being accessed or revealed in AI output.

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Predictive AI Access Control

Analyze which data AI tools will need based on user context and business processes, applying appropriate access controls before AI interactions occur.

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Real Time AI Interaction Monitoring

Monitor and track all AI interactions with enterprise data in real time, maintaining complete audit trails and preventing sensitive information exposure.

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Technology Company

Protected sensitive data accessed by Copilot
Maintained developer productivity while ensuring security
Complete audit trail for AI interactions

Financial Services Firm

Prevented proprietary trading data exposure to AI
Enabled secure AI assistance for analysts
Automated compliance for AI tool usage

Healthcare Organization

Secured patient data from AI tool access
Enabled AI-powered medical research safely
Maintained HIPAA compliance with AI tools

Legal Firm

Protected client confidentiality with AI governance
Enabled AI-assisted document review securely
Comprehensive litigation hold compliance

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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.

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.

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).

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.