Noma’s AI Security Platform delivers contextualized security and governance across the full AI ecosystem — from large language models (LLMs) and RAG systems to autonomous agents and production pipelines. The platform connects discovery, continuous testing, and runtime protection so signals gathered in one area inform controls in another: posture context determines what gets tested, automated test results feed runtime defenses, and runtime intelligence reprioritizes posture. Built for enterprise scale, it provides continuous visibility, risk protection, and compliance management for models, training data, infrastructure, and agents to enable trusted AI innovation. Key product modules called out on the site include AISPM for posture management, automated Red Team testing, and Runtime Protection for real-time detection and guardrails. The vendor emphasizes seamless deployment across development and production environments, with enterprise-grade security controls (SAML 2.0 / OIDC SSO, MFA, Active Directory) and stated compliance with SOC 2 Type II, HIPAA, and ISO 27001. The platform targets both homegrown and commercial AI stacks, aiming to secure AI adoption without requiring changes to existing architecture.
Noma integrates across the AI stack with native connectors and flexible APIs: REST API, native Python and JavaScript SDKs (including support for frameworks like LangChain and CrewAI), a centralized gateway for unified policy enforcement, plus native integrations with commercial platforms such as Microsoft Copilot Studio, Salesforce AgentForce, ServiceNow and 80+ other data, AI, and MLOps platforms.
Noma Security is a trusted seller known for providing reliable security products and solutions. They are recognized for their commitment to quality and customer satisfaction in the security industry.
