the platform for ai security

Noma AI Red Teaming

Proactive security testing for AI applications, Agents, and Models at Enterprise Scale

The Challenge:

Your AI & Agents are ever evolving

AI evolves faster than you can test

Every prompt update, model swap, or new tool integration changes your AI’s behavior and attack surface. Yesterday’s security assessment doesn’t reflect today’s risk. Your AI applications need continuous testing that adapts as fast as they do.

Agents have the keys to your kingdom

AI agents access databases, execute code, call APIs, and interact with critical business systems. A single jailbreak or prompt injection can turn an agent into an insider threat, with legitimate credentials and deep system access.

Traditional security tools are blind to AI risk

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.

Noma’s Solution

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.

Noma’s Solution

How Red teaming works

Test Any AI, Anywhere

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.

Test where it matters - in production

Unlike sandbox-based tools, Noma AI Red Team is designed for production environments with real users and data. Native support for OAuth, enterprise SSO, and custom authentication flows ensures you’re testing the actual attack surface your adversaries see.

Attack coverage powered by Noma labs

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.

An Agent that adapts attacks to your environment

Noma AI Red Team isn’t a static library of canned attacks – it’s an intelligent agent that dynamically builds and adapts attacks based on your unique application. By analyzing each target’s inputs, descriptions, system prompts, and observed behaviors, our red teaming agent crafts contextually relevant attack sequences that mirror how a real adversary would probe your specific AI system.

Close the loop with AISPM and Runtime protection

With Noma, you’ll never miss an AI application to test. Our posture scanners automatically discover every new AI agent and application across your environment, triggering targeted red team assessments as your AI footprint grows. Findings flow into Runtime Protection as detection signatures and guardrail policies – creating a continuous security improvement cycle.
PLATFORM SYNERGY

Stronger Together:
The Noma AI security platform

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.

Every test strengthens your defenses
Vulnerabilities and attack patterns uncovered by Red Team automatically become detection signatures and guardrail policies in Runtime Protection. What bypasses your defenses in testing gets blocked in production, so your runtime security improves with every engagement.
Red Team results feed directly into AISPM, refining risk scores and reprioritizing assets based on real exploitability, not theoretical severity. When Red Team proves an agent can be manipulated into data exfiltration, that asset’s posture score reflects actual risk, not assumptions.
AISPM’s asset inventory tells Red Team what to target. Runtime’s threat data tells it how attackers are already trying to get in. Together, they ensure Red Team isn’t testing blindly every engagement is aimed at the highest-risk agents, the most sensitive data flows, and the attack patterns already hitting your environment.

Enterprise Trust

Already trusted by leading Fortune 500 enterprises to protect their most critical AI systems in production.

Al Everywhere, Secured by Noma