Raysecurity offers a platform that discovers, maps, and monitors every AI tool accessing an organization’s data, providing real‑time visibility, risk scoring, and automated remediation to prevent unauthorized AI‑driven data exposure. It integrates with cloud and on‑premises data stores to give security teams a unified view of human and AI data interactions, helping maintain compliance and reduce risk.
Funding
Funding not disclosed
Founders
Product
Problem
Security teams can see which humans access sensitive data, but they lack visibility into AI agents, large language models, and other automated tools that also read, copy, or transmit data. This “shadow AI” creates blind spots, making it difficult to verify legitimate use, detect leaks, and enforce compliance in an AI‑driven environment.
Solution
Raysecurity provides a platform that discovers and maps every AI tool—authorized or unsanctioned—that interacts with an organization’s data. It continuously monitors data access events, validates whether each access is expected and permitted, and alerts security teams to anomalous or unauthorized AI activity. The solution visualizes shadow AI activity, quantifies exposure reduction, and enables automated remediation actions to enforce policy and prevent data exfiltration. By integrating with existing data stores and cloud services, Raysecurity gives CISOs a unified view of human and AI data interactions, helping them maintain compliance and reduce risk without hindering business workflows.
Target Audience
Primary customers are enterprise security and compliance teams—CISOs, data protection officers, and security operations centers—who need to monitor and control AI‑driven data access in regulated or high‑risk industries.
Features
- Automated discovery of all AI agents, LLMs, and machine‑learning services accessing corporate data across cloud and on‑premises environments
- Real‑time access logs that attribute each data read or write to a specific AI tool or user, with justification checks against policy
- Risk scoring and exposure reduction metrics that quantify how much data is at risk from shadow AI
- Interactive visual map of AI data flows and permissions, highlighting unauthorized or unexpected access paths
- Policy‑driven remediation actions (e.g., block, quarantine, or require approval) that can be applied automatically or via workflow
- Integration with major cloud platforms, SaaS applications, and data repositories for seamless data lineage tracking