Noma AI Integrates with AWS Security Hub
Noma Security announced that its AI Security platform is now available through the Extended plan in AWS Security Hub. This integration enables customers to use Noma's AI-powered security tools within Amazon Web Services' unified security management solution. The move aims to provide comprehensive AI security for cloud environments.
Tel Aviv-based Noma Security was founded in 2023 by CEO Niv Braun and Alon Tron, both veterans of the Israeli Defense Forces' elite cyber unit, Unit 8200. Braun previously led the security products business unit at Verint. The company emerged from stealth in October 2024 and has raised a total of $132 million in funding. The integration makes Noma's platform available through the AWS Security Hub's Extended plan, a service designed to simplify the procurement and deployment of third-party security solutions. This allows AWS customers to purchase Noma's tools with pre-negotiated, pay-as-you-go pricing and receive a single, consolidated bill. Noma's platform provides runtime protection for AI applications, including those built on Amazon Bedrock and SageMaker. This involves real-time monitoring of all prompts, responses, and tool calls to detect and block threats like prompt injection and the leakage of sensitive data before they can cause damage. A core feature of Noma's offering is its automated red teaming, which continuously tests AI models and applications for vulnerabilities. Unlike static attack libraries, Noma's red teaming acts as an intelligent agent, dynamically creating and adapting attacks based on the specific behaviors and context of the application it is testing. This partnership addresses a rapidly growing market for AI-specific security solutions, as traditional tools are often not equipped to handle threats unique to AI, such as data poisoning and adversarial machine learning attacks. These threats target the learning-based nature of AI systems, creating new challenges for organizations. The focus on "agentic AI" security is a key differentiator for Noma. As enterprises increasingly deploy autonomous AI agents that can interact with databases, execute code, and perform tasks, the need to govern their behavior and prevent misuse becomes critical.