Reduced Data Exposure
Cut data risk exposure to the absolute minimum
with predictive protection
Minimize Data Risk with Precision
Cut data risk exposure to the absolute minimum
with predictive protection
Most enterprise data sits dormant while creating massive attack surfaces. Ray Security’s predictive engine enables to:
Reduce data exposure to the minimum by applying enhanced protection to data that will be used while making unused data immune to attacks.
Focus security resources on data that is actually used, enabling faster response times and broader protection coverage across your entire data estate.
Apply predictive protection to ALL data, including unclassified information, ensuring comprehensive security without manual classification overhead.
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 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.
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 […]
