Conventional application security tools weren’t designed for probabilistic systems that can be manipulated through natural language. You need purpose-built testing that understands how AI actually fails, and how attackers actually exploit it.
Introducing Noma AI Red Teaming.
Enterprise-grade automated red teaming that continuously tests your AI models, agents, and applications against dynamic, evolving attack techniques. Unlike static attack libraries, Noma AI Red Team is itself an intelligent agent, building and adapting attacks based on the specific behavior of each application under test. Test any AI endpoint in production, backed by Noma Labs’ cutting-edge security research.
Deploy red teaming across your entire AI portfolio, from homegrown applications to commercial LLMs, fine-tuned models to autonomous agents. Test any agentic endpoint regardless of framework.
Our attack library is continuously updated by Noma Labs, our dedicated AI security research team. We focus on outcomes and business risk, not individual test mechanics, with techniques that reflect how real attackers target AI systems. This includes the latest agentic attack vectors from our research into RAG exploitation, memory manipulation, tool misuse, and MCP vulnerabilities.
Test against attacks that work in production: authenticated sessions, multi-step agent workflows, and real data flows. In-environment scanning runs from within your network – no external exposure required.
Automatically map findings to OWASP Top 10 for LLMs, MITRE ATLAS, and NIST AI RMF.
Generate continuous compliance evidence instead of point-in-time audit scrambles.
AI Red team doesn’t operate in isolation. It’s the offensive testing layer of a complete AI security platform, working in concert with AI Security Posture Management and Runtime Protection to create a continuous security improvement cycle.
Already trusted by leading Fortune 500 enterprises to protect their most critical AI systems in production.
Al Everywhere, Secured by Noma