
Aim Security
Aim Security: Empowering GenAI adoption safely. We equip leaders to enhance productivity with guardrails for proactive protection across all cases.
Date | Investors | Amount | Round |
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- | investor | €0.0 | round |
investor investor | €0.0 | round | |
* | $18.0m | Series A | |
Total Funding | 000k |
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Aim Security provides a security platform designed to govern and secure the use of Generative AI (GenAI) within enterprise environments. The company was founded in 2022 by CEO Matan Getz and CTO Adir Gruss. Both founders are veterans of the Israeli Defense Forces' elite intelligence Unit 8200, where they gained extensive experience in building and breaking AI platforms. Getz previously served as the Deputy CISO of the IDF and led a large data science defensive AI project, while Gruss was a commander for an elite cybersecurity course and later served as the field CTO at the data security startup Laminar.
The company emerged from stealth in January 2024 with a $10 million seed funding round led by YL Ventures. This was followed by a rapid Series A funding of $18 million in June 2024, led by Canaan Partners, bringing the total funding to $28 million. Notable backers include the founders of Wiz and industry leaders from Palo Alto Networks, Proofpoint, and Google.
Aim Security's core business revolves around enabling enterprises to adopt and utilize AI technologies without compromising their security posture. The platform is aimed at security executives and IT leaders, particularly in large enterprises and SMEs within highly regulated industries such as finance, healthcare, insurance, manufacturing, and defense. The company's business model is B2B, providing its platform to help organizations balance business productivity with enterprise-grade security for both internal and production AI applications. Revenue is generated through this security platform, with pricing based on the duration and terms of customer contracts.
The platform offers a holistic approach to AI security, addressing risks across the entire AI development lifecycle. Its key components include AI Security Posture Management (AI-SPM) to discover and remediate security risks, AI Runtime Protection which acts as an AI-Firewall against attacks, and solutions to secure AI agents and enable safe AI usage by employees. The technology is specifically designed to counter unique GenAI threats like sensitive data exposure, supply chain vulnerabilities, prompt injections, and large language model (LLM) jailbreaks. By using lightweight sensors and integrations, the platform intercepts all AI interactions, providing consolidated insights and risk mitigation. This allows CISOs to securely manage the use of public AI tools, enterprise copilots, and custom-built GenAI applications.
Keywords: AI security, Generative AI, GenAI security, Large Language Model (LLM) security, AI Security Posture Management (AI-SPM), AI Runtime Protection, AI-Firewall, data leakage prevention, prompt injection, cybersecurity, enterprise AI, secure AI adoption, AI governance, AI risk management, Unit 8200, Matan Getz, Adir Gruss, YL Ventures, Canaan Partners, AI agent security, compliance, data protection, enterprise security, network security, AI applications