Identity Threat Detection & Response

Detect abnormal data access and respond in real time with or without identity attribution

Why It Matters

Compromised accounts and over-privileged identities are a leading cause of data breaches. Without continuous monitoring, unusual data access often goes unnoticed until damage is done.

  • 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.
  • Provide users with a revolutionary self-service to reduce alerts overhead.

 Stop Identity Misuse Through Real Time Protection

Early Detection

Spot Data Access by Any Identity in Real Time

Identify abnormal access patterns the moment they happen, correlate with identity, and let users select enforcement level.

Immediate Response

Contain risks instantly

Identify Internal Threats and Data Leaks in real time, Restrict sessions, revoke permissions, or require re-verification on the spot.

Dynamic JEA Enforcement

Keep access within limits

Prevent identities from stepping outside Just Enough Access (JEA) policies without altering underlying entitlements.

How It Works

Continuous Monitoring

Baseline normal data behavior and track every identity’s access in real time while mapping permissions in use.

Real Time Response

Automatically apply protections based on the data and the identity accessing it. Security professionals can choose from alerts to session restrictions, to limit exposure and keep access within Just Enough Access (JEA).

AI Governance Success: Proven Identity Risk Reduction

Manufacturing Group
  • Prevented data leakage and blocked compromised accounts in under a minute
  • Cut insider threat incidents by 58% year over year
  • Reduced JEA violations by 75%
Financial Services Firm
  • Detected unauthorized service account escalation
  • Prevented a large-scale data leakage attempt
  • Reduced dormant privileged accounts by 50%
Media Company
  • Flagged abnormal access on data which the identity had never accessed 
  • Stopped contractor misuse of customer data
  • Reduced audit findings tied to identity misuse
International Manufacturer
  • Identified mass download of executables from central storage to an insider endpoint
  • Blocked the activity, identified and fixed a permanent failure to enforce access policies

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.

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).

Latest from Ray Security

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.

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

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