Agentic Index
Mindgard vs Noma Security (2026)
Both secure AI systems and they approach from opposite postures, at 9 and 8.5 of 14.
Mindgard is attacker aligned: reconnaissance maps the production attack surface including guardrails, system prompts, tools and shadow AI, then thousands of MITRE ATLAS and OWASP mapped attacks run continuously against the complete system. Noma is defender aligned, with posture management, tool level Agent Access Control across agents and MCP servers and runtime detection across prompts, tool calls and agent to agent traffic. Mindgard tells you how you would be broken into; Noma stops it happening, and mature programmes want both.
Choose Mindgard if
- Documented coverage is slightly broader and knowing your real attack surface comes first.
- Continuous red teaming against the complete system, not just the model, is the test you need.
- Mapping to MITRE ATLAS and OWASP gives your reporting a recognized structure.
Choose Noma Security if
- You already know your exposure and now need to control it at the tool level.
- Runtime detection across prompts, tool calls and agent to agent traffic is the coverage you need.
- Posture management as an ongoing practice is the operating model you want.
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