Ray Security delivers the first predictive data security platform that identifies which data will be used, and applies differentiated, automated real time protection to reduce risk exposure to the absolute minimum.
Ray Security dynamically addresses the risk created by over-permissioned access by revealing which data is truly used, by whom, and when, and enables to shrink the attack surface.
Company's Solutions
Ray Security’s predictive data platform powers targeted solutions that help security teams reduce risk, enforce least-privilege access, govern AI, and prevent data loss with evidence-based actions:
Data Access Review (DAR): Continuously compare who can access data versus who actually does, automate access review campaigns, and enforce Just Enough Access to remove unused or excessive permissions and stay audit-ready.
AI Data Access Governance: Govern what generative AI and LLMs (e.g., Copilot, ChatGPT Enterprise) can see, access, and generate, manage autonomous AI agents, block sensitive content from being accessed or revealed; and maintain full audit trails across AI interactions.
Reduced Data Exposure: Predict data usage and apply differentiated protections so only data that will be used remains exposed, dramatically shrinking the attack surface and enabling precise, scalable security, even for unclassified data.
Next-Gen Data Loss Prevention (DLP): Move beyond reactive detection by predicting future data access needs, tracking data movement across environments with unmatched visibility, enforcing access justification, and preventing unauthorized or uncontrolled data use before it occurs.
Prominent Case Study
A large financial services organization used Ray Security to analyze access to sensitive customer and financial data across multiple repositories.
Ray Security identified that the majority of users with access to regulated data had not accessed it in months or years.
By aligning access policies with actual usage, the organization significantly reduced the number of users with sensitive access, lowered internal risk exposure, and improved audit confidence, without impacting day-to-day operations or business workflows.