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Ray Security Launches Predictive Data Security Platform

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1 unique sources, 1 articles

Summary

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Ray Security has emerged from stealth with $11 million in funding to address data security and data loss prevention (DLP) challenges. The company's predictive data security platform uses AI to anticipate data access needs and apply protection accordingly. The solution aims to tackle insider threats, ransomware, and AI data access governance issues. The platform differentiates itself by moving beyond reactive measures, analyzing historical usage patterns to predict future access requirements. This approach helps manage access control, reducing the risk of data breaches and compliance issues exacerbated by AI adoption. Ray Security's solution is designed to address the growing complexity of data security, particularly in environments with extensive AI integration.

Timeline

  1. 17.09.2025 00:27 1 articles · 15d ago

    Ray Security Emerges with Predictive Data Security Platform

    Ray Security has launched a predictive data security platform that uses AI to analyze historical usage patterns and predict future data access needs. The platform aims to address insider threats, ransomware, and AI data access governance issues. The company has secured $11 million in funding to develop this solution, which differentiates itself by moving beyond reactive measures to provide proactive data protection.

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Information Snippets

  • Ray Security was founded in 2024 by Ariel Zamir, Eric Wolf, and Dekel Levkovich.

    First reported: 17.09.2025 00:27
    1 source, 1 article
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  • The company has secured $11 million in funding to develop its predictive data security platform.

    First reported: 17.09.2025 00:27
    1 source, 1 article
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  • The platform uses a proprietary AI engine to analyze historical usage patterns and predict future data access needs.

    First reported: 17.09.2025 00:27
    1 source, 1 article
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  • Ray Security aims to address insider threats, ransomware, and AI data access governance issues.

    First reported: 17.09.2025 00:27
    1 source, 1 article
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  • The solution helps manage access control, reducing the risk of data breaches and compliance issues.

    First reported: 17.09.2025 00:27
    1 source, 1 article
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  • AI adoption is increasing the complexity of data security, with AI systems ingesting large amounts of data and executing tasks with minimal human intervention.

    First reported: 17.09.2025 00:27
    1 source, 1 article
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  • Ray Security's platform is designed to be proactive, addressing the alert noise problem common in many DLP deployments.

    First reported: 17.09.2025 00:27
    1 source, 1 article
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  • The company's approach includes identifying and eliminating unnecessary access paths to sensitive data.

    First reported: 17.09.2025 00:27
    1 source, 1 article
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Similar Happenings

AI Governance Strategies for CISOs in Enterprise Environments

Chief Information Security Officers (CISOs) are increasingly tasked with driving effective AI governance in enterprise environments. The integration of AI presents both opportunities and risks, necessitating a balanced approach that ensures security without stifling innovation. Effective AI governance requires a living system that adapts to real-world usage and aligns with organizational risk tolerance and business priorities. CISOs must understand the ground-level AI usage within their organizations, align policies with the speed of organizational adoption, and make AI governance sustainable. This involves creating AI inventories, model registries, and cross-functional committees to ensure comprehensive oversight and shared responsibility. Policies should be flexible and evolve with the organization, supported by standards and procedures that guide daily work. Sustainable governance also includes equipping employees with secure AI tools and reinforcing positive behaviors. The SANS Institute's Secure AI Blueprint outlines two pillars: Utilizing AI and Protecting AI, which are crucial for effective AI governance.

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