Next-Gen Data Loss Prevention (DLP)

Go beyond traditional DLP. Predict Which data will be used and stop unauthorized usage before it happens.

Why It Matters

Traditional DLP solutions react after data is already at risk. Ray Security’s predictive data security platform enables to:

  • 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.
  • Prevent unauthorized, uncontrolled, and unaudited data use.

Predictive DLP in Action

Transform Data Loss Prevention Through Prediction

Proactive Protection

Predict and Prevent, Don’t Just Detect

Our predictive engine identifies which data will be accessed, enabling proactive protection strategies that prevent unauthorized access before it occurs.

Complete Data and Access Visibility

Unmatched Visibility Across All Data Movement

Track and monitor data as it moves across cloud, on-premises, and hybrid environments with comprehensive lineage and access justification for every interaction.

Access Justification

Enforce Access Justification and Privacy Controls

Automatically verify access justification, maintain privacy controls, and prevent unauthorized, uncontrolled, and unaudited data use across all environments.

How It Works

Predictive Data Behavior Analysis

Analyze data access patterns, business contexts, and time-based needs to predict legitimate data access requirements and identify potential insider threats.

Dynamic Access Control Implementation

Automatically implement time-based and need-based access restrictions that adapt to predicted usage patterns while detecting anomalous data behavior.

Enterprise Results: Predictive DLP That Actually Works

Financial Services Leader
  • 92% reduction in data exposure incidents
  • Complete visibility across hybrid environment
  • Automated compliance reporting
Healthcare Organization
  • HIPAA compliance simplified through prediction
  • 87% fewer false positive alerts
  • Comprehensive audit trails maintained
Technology Company
  • Protected intellectual property during acquisition
  • Prevented unauthorized AI tool access
  • Streamlined data governance processes
Manufacturing Enterprise
  • Secured trade secrets across global operations
  • Reduced DLP management overhead by 76%
  • Maintained business productivity during protection

More Use Cases

Insider Threat Defense

Control the data visibility based on data behavior patterns, time, and justification. Enforce record-limited access, ensuring insiders see only what they need.

AI Data Access Governance

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.

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.

Ransomware Protection

Make 90% of data immutable by default. Monitor and ensure recoverability of writable data. Detect encryption activity and contain spread immediately.

Data Cost Optimization

Identify waste and reduce unnecessary costs: focus on accessed data and match access profile with cost-performance profile. Automate access retirement and cold data archiving. Integrate with existing infrastructure.

Data Access Review (DAR)

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).

Identity Threat Detection & Response

Continuously monitor identity behavior tied to data access. Detect suspicious data access in real time regardless of entity privileges. Apply protections instantly to contain the threat.

Latest from Ray Security

28.10.2025 | Orlando FL

Cyber Defense Conference

Tuesday & Wednesday: October 28th-29th, 2025
The Ritz Carlton – Orlando, FL, USA

08.12.2025 | London, UK

Black Hat Europe

Black Hat Europe returns to the ExCeL in London with a four-day program this December 8-11, 2025.

03.09.2025 | Ariel Zamir

Why Security Breaks When It Doesn’t Match Reality

Control data accessed by LLMs like Copilot. Prevent AI from revealing sensitive information. Maintain data lineage across all AI interactions.

Experience Predictive Data Loss Prevention Now!