Insider Threat Defense

Minimize insider risk through real time
access control

Why It Matters

Insider threats are the hardest to detect because they come from authorized users. Ray Security’s predictive approach enables to:

  • Control data and access visibility based on data behavior patterns, time, and business justification.
  • Enforce record-limited access.
  • Ensure insiders see only what they need when they need it.
  • Get full data access policies, control, auditing and visibility.

Proactive and Predictive
Insider Threat Defense

Stop Insider Threats Through Prediction

Behavior-Based Visibility

Predict Normal vs. Anomalous Data Behavior

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

Time-Based
Controls

Enforce Time-Sensitive Access Restrictions

Automatically adjust data visibility based on business cycles, project timelines, and predicted usage patterns to minimize unnecessary exposure.

Record-Level
Control

Ensure Insiders See Only What They Need

Implement granular, record-level access controls that dynamically adjust based on role, time, and business justification.

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: Insider Threat Defense That Works

Financial Institution
  • Detected 3 potential insider threats in first month
  • Reduced unauthorized access by 89%
  • Maintained compliance with regulatory requirements
Healthcare System
  • Protected patient data through behavioral analytics
  • Identified unusual access patterns automatically
  • Reduced false positives by 77%
Technology Startup
  • Secured IP during employee transitions
  • Automated access adjustments for project teams
  • Prevented data exfiltration attempts
Government Agency
  • Enhanced security clearance compliance
  • Monitored contractor access dynamically
  • Improved audit trail completeness

More Use Cases

Next-Gen Data Loss Prevention (DLP)

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, and prevent unauthorized, uncontrolled, and unaudited data use.

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

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.

28.10.2025 | Orlando FL

Cyber Defense Conference

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

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.

Start Defending Against Insider Threats Proactively Now!