Data Access Audit
& Investigation
Complete visibility into who touched what, human and AI alike, and when
Complete Forensic Visibility
Across All Data Access Events
Complete visibility into who touched what, human and AI alike, and when
When a breach, audit, or anomaly occurs, organizations must answer a simple question: who accessed sensitive data? Most cannot do so with confidence.
Ray Security provides full visibility into data access activity, by humans and AI, enabling teams to:
Identify every file accessed during a breach window, track the full scope of compromise, and provide board-level reporting with complete confidence.
Generate comprehensive access audit trails required by SEC, HIPAA, GDPR, SOX, and other regulations, without manual log aggregation.
Detect unusual patterns like bulk downloads, after-hours access, suspicious file interactions, or unexpected AI agent activity that indicate potential insider threats, compromised accounts, or unsanctioned AI operating outside policy boundaries.
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.
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.
Prioritize and remediate exposure: cut data exposure by 90% with predictive remediation. Focus on critical data for faster, broader, and more precise security (secure-by-default), even for partially unclassified data.
2026 Security Resolutions: Fewer Assumptions, More Evidence Security failures rarely come from missing controls. They come from assumptions that hardened into policy and stopped being questioned. Risk emerges from access and data decisions made over time, through role changes, project work, access sharing, temporary exceptions, and system evolution, that quietly persist long after their original […]
Even in an area of cybersecurity as essential as data protection, the stakes continue to climb higher in 2025. The pressures have mounted both from the intensification of data theft and extortion attacks as well as from the surging adoption of GenAI-powered tools and LLMs, which have drastically heightened the risk of sensitive data being improperly accessed.
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 […]
