Prompt Security
Prompt Security was an Israeli cybersecurity company that built a runtime security and governance layer for generative and agentic AI in the enterprise. Its platform inspected prompts and model responses in real time to provide visibility, policy enforcement, data-loss protection, and defense against AI-specific attacks; it is now part of SentinelOne following the 2025 acquisition.
At a Glance
- Fortune 500 and other large enterprises
- Security and IT teams
- Organizations adopting generative AI and AI agents
- MSSPs
- +4 more
AI Tools by Prompt Security
(1)ClawSec
AI Agent Security Skills Suite
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Latest News
When AI Agents Become the Supply Chain: Hidden Control Planes in Agentic Systems
ChatGPT Security Guide: Enterprise Risks, Incidents, and Practitioner Guidance
The Agentic AI Attack Surface: Where Risk Lives Beyond the Prompt
From Trivy to LiteLLM: Expanding the LLM Supply Chain Threat Model
Products & Services
Enterprise platform for securing employee-facing AI tools and internally developed AI applications through real-time prompt/response inspection, visibility, governance, policy enforcement, sensitive-data protection, harmful-content blocking, and AI-attack prevention.
Managed-service offering enabling MSSPs to deliver generative-AI security and governance to their customers.
Authorization capabilities designed to control AI access to enterprise data and strengthen data-access governance.
Open-source AGPL collection of signed security skills and advisory intelligence for AI-agent runtimes. It supports drift detection, live recommendations, automated audits, skill-integrity verification, and approval-gated installs across OpenClaw, NanoClaw, Hermes, and Picoclaw.
Market Position
Prompt Security positioned itself as an enterprise AI-security platform spanning both employee-facing AI usage and internally built AI applications, rather than only an AI application scanner or model-security tool. Its differentiation included real-time controls at the prompt/response layer, shadow-AI visibility, Copilot coverage, protection against AI-native attacks, and governance for agentic and MCP workflows. Comparable competitors include Lakera, HiddenLayer, Robust Intelligence, Protect AI, CalypsoAI, and Cisco/Panoptica-style AI security offerings.
Leadership
Founders
Itamar Golan
Co-founder and CEO; previously founded the AI divisions at Check Point and Orca Security and is a graduate of Israel's 8200 Unit.
Lior Drihem
Co-founder and CTO; previously Director of Innovation at Check Point and worked with Golan at Orca Security; graduate of Israel's 8200 Unit.
Vitaly Neyman
Co-founder and Chief Architect; previously a lead antivirus product software developer on the eTrust antivirus product, with experience in software development, reverse engineering, and malware analysis.
Executive Team
Itamar Golan
Co-founder and CEO
Previously founded AI divisions at Check Point and Orca Security.
Lior Drihem
Co-founder and CTO
Previously Director of Innovation at Check Point and worked at Orca Security.
Founding Story
Golan and Drihem founded Prompt Security in August 2023 after seeing enterprise adoption of ChatGPT and other generative-AI tools outpace existing security controls. Their initial vision was to give organizations real-time visibility and governance over AI interactions while preventing sensitive-data exposure, harmful content, prompt injection, jailbreaks, and other AI-native risks.
Business Model
Revenue Model
Enterprise cybersecurity software platform sold to organizations, with enterprise deployments and an MSSP delivery model; public descriptions emphasize flexible deployment options and a sales-led enterprise motion.
Target Markets
- Fortune 500 and other large enterprises
- Security and IT teams
- Organizations adopting generative AI and AI agents
- MSSPs
- Healthcare
- Financial services
- Secure employee use of ChatGPT, copilots, code assistants, and other third-party AI tools
- Protect internally developed GenAI applications and customer-facing AI features
- Enterprise AI governance and acceptable-use enforcement
- Prevent sensitive-data leakage and harmful or toxic AI output
- Defend AI applications against prompt injection, jailbreaks, and related attacks
- Secure and govern AI agents and MCP-based workflows
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