Secure Your Data in the Age of AI Agents

The first company that reveals and governs your Shadow AI and autonomous agents

CISOs’ Challenges
What Data Is Exposed to AI and Should It Be?

Who touches the data?

Humans, AI apps, AI agents, and autonomous agents, including shadow AI operating outside visibility.

Is the access legitimate?

Whether access, human or AI, is justified, expected, and aligned with real usage.

Was the data leaked?

If sensitive data was leaked, shared, or exfiltrated, intentionally or not, by users and/or AI.

Cut AI Data Exposure by Over 90%. Know Every Access. Control Every Risk.

Reduce Data Exposure in a AI-Driven World.

Visualize and Control Your Shadow AI

Identify every AI tool, approved or not, that is accessing your data. Get a complete map of shadow AI activity and enforce access.

Prevent AI-Driven Breaches

Stop unauthorized data access by AI agents. Block risky access patterns before data is exfiltrated or shared.

Shrink Your Attack Surface

Automatically identify data that is over-exposed to users, applications, and AI agents. Remove excessive permissions.

Adapt to Real Usage in Real Time

Predict which data is most likely to be accessed, by humans or AI agents, and apply controls proactively.

Explore Ray Security’s Platform

 

Identify AI Agents and Shadow AI

See Every AI Actor in Your Environment

Detect all AI agents interacting with your data, including shadow AI tools operating outside your visibility. Understand what each agent is accessing, from where, and whether it is authorized to do so.

Dynamic Protection
Implementation

From Detection to Protection

Automatically implement different protection strategies based on predicted usage patterns, for humans and AI. Make unused data immune to attacks, while delivering real-time detection and response for the data in use.

Unified Policy Management

One Platform. All Environments.

Manage data access policies for users, apps, and AI agents from a single console across cloud and on-premises environments through a single console. No more managing multiple disconnected tools or inconsistent protection strategies.

Use Cases

Use Cases

Find and Manage Shadow AI

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 bring them under governance before they become a liability.

Reveal & Control AI Data Exposure

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.

AI Data Loss Prevention (DLP)

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.

Reduced Data Exposure

Prioritize and reduce blast radius: cut data exposure by 90% with predictive protection. Focus on critical data for faster, broader, and more precise security (secure-by-default), even for partially unclassified data.

Data Access Audit & Investigation

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.

Find and Manage Shadow AI

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 bring them under governance before they become a liability.

Reveal & Control AI Data Exposure

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.

AI Data Loss Prevention (DLP)

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.

Reduced Data Exposure

Prioritize and reduce blast radius: cut data exposure by 90% with predictive protection. Focus on critical data for faster, broader, and more precise security (secure-by-default), even for partially unclassified data.

Data Access Audit & Investigation

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.

In their Own Words

"We required a solution that could seamlessly integrate robust data security with intelligent data management capabilities. Ray Security delivered on both fronts. They quickly understood our challenges and engineered an effective solution for data movement, significantly reducing our storage costs. The integration process was swift, their team’s support was and continues to be exceptional."

Erik Hart

CISO, Cushman & Wakefield

"Ray Security helps our customers protect their data based on how it is actually used, not static assumptions. This approach reduces unnecessary exposure while preserving business operations. It gives security teams clearer decisions they can stand behind.”

Jeppe Lau Hansen

Partner, Cyber & AI Advisory

"Ray Security brings a new dimension to enterprise data protection by leveraging artificial intelligence to predict, respond, and adapt to threats before they manifest. Its differentiator is the seamless blend of real-time insight with contextual, risk-based access controls, dramatically reducing the attack surface while empowering organizations to operate with confidence.”

Ashif Samnani

Principal Cybersecurity Lead, MOBIA

"Ray Security addresses a blind spot we’ve seen in every enterprise: the gap between how data is actually used and how it’s protected. Their approach reduces exposure without slowing the business down, which is exactly what our customers need."

Mark Jones

Founder & CEO

"At Compuquip, our job is to turn technology into outcomes. Ray Security is the first platform that actually delivers on the predictive promise and lets us prove risk reduction by focusing on data that will be used, not just stored."

Ricardo Panez

President, Compuquip

"Ray Security looks at data differently. Instead of treating everything the same, it predicts usage patterns so enterprises can secure used and unused data in smarter ways. That distinction has been a game-changer in our conversations with customers."

Ben Dagani

Director

Awards

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