AI Data
Access Governance
Control what AI sees and secure it with confidence
AI-Powered Access Control Governance
Control what AI sees and secure it with confidence
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:
Precisely control which data AI tools can access based on sensitivity, user context, and business need, preventing unauthorized AI interactions.
Govern how agentic AI systems access and interact with enterprise data, ensuring autonomous operations remain within security boundaries.
Block sensitive content from being accessed or revealed in AI output.
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.
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.
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).
See who accessed what and how. Investigate incidents with verifiable evidence. Meet regulatory audit requirements (SEC, HIPAA, GDPR, and more). Detect suspicious access early and respond confidently to customer and partner requests.
As part of CRN’s coverage looking ahead to 2026, we’re highlighting 10 cybersecurity startups —at the Series C funding level or earlier—that have been on our radar for delivering novel approaches to protecting businesses and engaging with channel partners. Our list of cybersecurity startups to watch in 2026 includes early-stage companies providing identity security, exposure management and […]
Five Metrics to Reduce Financial Data Risk Financial institutions run comprehensive security programs, regular audits, access reviews, and controls testing. Yet when board members or regulators ask whether data risk is moving in the right direction, the answer often requires more explanation than it should. The issue isn’t missing controls. It’s that most reporting focuses […]
The past year was dominated by one theme: scale. Scale in data, in AI adoption, in the speed of attacks, and in the number of systems security teams must protect without additional resources. In 2025, organizations tried to understand how deeply AI systems touch their environments, how much of their data is unnecessarily exposed, and […]
