Last verified Oct 21, 2025
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    Prompt Security

    AI Security, Cybersecurity

    Security & ComplianceSecurityShadow AI ProtectionPrompt Injection Protection
    Function:Security
    Subfunction:Information Security (Cybersecurity)
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    Founded
    2023
    Employees
    30
    Funding
    $23M raised; acquired by SentinelOne ~$250M (Aug 2025)
    Stage
    \~$1M ARR (2024); Acquired (operating)
    Report version: Oct 21, 2025

    1. Products/Services & Features

    • Main Offerings:

      • Employee AI Security & Governance
      • Homegrown AI Application Security
      • AI Code Assistant Security
    • Feature Breakdown: - Real-time AI visibility and monitoring

      • Policy-based controls and enforcement
      • Sensitive data protection and redaction
      • Prompt injection prevention
      • Shadow AI detection
      • MCP gateway security (Departments: Security, IT, Development, Compliance)
    • Business Industry Gearing: Cross-industry with focus on regulated industries (Financial Services, Healthcare, Technology)

    2. Security & Compliance

    • Certifications: Not available yet, No ISO 27001 or other major certifications yet

    • Vendors/Tools: AWS, Cloud providers

    • Risk Profile:

      • Breaches: No publicly reported data breaches
      • Features: Browser extension deployment, real-time monitoring, policy enforcement

    3. User Feedback & Adoption

    • Aggregated Reviews: Positive user feedback on G2 and other platforms

      • Pros: - Easy deployment through browser extension
        • Strong security features and visibility
        • Excellent customer support
        • Flexible implementation options
        • Effective policy enforcement
      • Cons: - Limited dashboard customization
        • Rapidly evolving market creates challenges
        • Some features still in development
    • Adoption Insights:

      • Adoption Ease: High - Browser extension deploys quickly, monitor-only mode available
      • Adoption Cultural Fit: Strong fit for security-conscious organizations embracing AI
    • Metrics: High customer satisfaction reported in reviews

    • Barriers: - Rapidly evolving AI landscape

      • Need for organizational buy-in
      • Integration with existing security stack

    4. Monetization & Business Model

    • Revenue Model: Tiered SaaS subscription with usage-based components

    • Pricing: - Employees: $120/seat annually

      • Developers: $300/seat annually
      • Applications: $120/1,000 requests annually
      • Enterprise: Custom pricing (Sources: Company website, G2 reviews)
    • Market Context:

      • TAM: Growing AI security market, part of broader cybersecurity industry
      • Growth Stage: Early growth stage, recently acquired by SentinelOne

    5. Leadership & Recent Developments

    Name Description LinkedIn X Account
    Itamar Golan CEO & Co-founder, 15+ years in AI/cybersecurity, ex-Check Point, Orca Security, IDF Unit 8200 https://www.linkedin.com/in/itamar-golan-da86
    Lior Drihem CTO & Co-founder, 25+ years security experience, holds 25+ patents, ex-Check Point, Orca Security https://www.linkedin.com/in/lior-drihem-528b
    Benjamin Preminger Head of Product https://il.linkedin.com/in/benjipreminger
    • Key Metrics Update:

      • Funding: Series A $18M (2024), Total $23M raised
      • Employee Growth: Actively hiring, growing team across technical and sales roles
    • News/Trends:

      • News Launch: Emerged from stealth in January 2024
      • News Partnerships: Acquired by SentinelOne in August 2025
      • News Funding: Raised $18M Series A led by Jump Capital
      • News Challenges: Navigating rapid AI security market evolution

    6. Target Audience & Use Cases

    • Target Market: Enterprise organizations across industries, particularly those with significant AI adoption

    • Target Users & Personas: Security teams, IT administrators, developers, compliance officers

    • User Experience Level: Technical users with security focus

    • Key Use Cases:

      • Secure employee use of AI tools like ChatGPT
      • Protect sensitive data in AI interactions
      • Secure development of AI-powered applications

    7. Impact & Recommendations

    • Measurable Outcomes:

      • Workflow Improvements: - Automated policy enforcement
        • Real-time security monitoring
        • Streamlined AI governance
      • ROI Examples: - Reduced risk of data breaches
        • Improved compliance adherence
        • Faster secure AI adoption
    • Fit Assessment: Strong fit for enterprises seeking to secure AI adoption

    • Custom Rec Flags:

      • Priority ICP: Large enterprises with significant AI usage and security requirements
      • Short Term Goals: Integration with SentinelOne's Singularity Platform

    8. Data Sourcing Notes

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