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, by humans and AI alike.
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. This is particularly important as AI tools frequently access unclassified data.
Monitor and control what information AI tools can retrieve, process, or relay, ensuring that data accessed by LLMs and agents stays within the boundaries your policies define. Prevent sensitive data from being exposed through AI interactions.
Gain full visibility into which data AI systems (LLMs, copilots, and agentic tools) are accessing data across your organization. Enforce access boundaries, maintain data lineage across AI interactions, and prevent AI from surfacing data it should not reach.
Identify unsanctioned AI tools and agents operating in your environment, inside and outside your network perimeter. Understand what data they are accessing, assess the risk they introduce, and remediate unauthorized access before they become a liability.
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 […]
