What is the difference between Cyata vs Noma Security Comprehensive AI Security?

**Cyata**: Control plane for discovering, monitoring, and governing AI agents in enterprises. built by Cyata. headquartered in Israel. Core capabilities include AI agent discovery across enterprise environments, Agent behavior tracking and timeline analysis, Policy-based guardrails for agent operations.. **Noma Security Comprehensive AI Security**: Comprehensive AI security platform protecting AI systems and applications. built by Noma Security. headquartered in United States.. Both serve the AI SPM market but differ in approach, feature depth, and target audience.

Who makes Cyata vs Noma Security Comprehensive AI Security?

**Cyata** is developed by Cyata. **Noma Security Comprehensive AI Security** is developed by Noma Security. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Is Cyata a good alternative to Noma Security Comprehensive AI Security?

Cyata and Noma Security Comprehensive AI Security serve similar AI SPM use cases: both are AI SPM tools. Review the feature comparison above to determine which fits your requirements.

Cyata vs Noma Security Comprehensive AI Security (2026) | Compare AI SPM Tools

Cyata vs Noma Security Comprehensive AI Security: 2026 Comparison

Cyata is a commercial ai spm tool by Cyata. Noma Security Comprehensive AI Security is a commercial ai spm tool by Noma Security. Compare features, ratings, integrations, and community reviews side by side to find the best ai spm fit for your security stack.

CST Verdict

Based on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:

Cyata

Enterprise security teams deploying autonomous AI agents across multiple SaaS applications need Cyata to see what those agents are actually doing; most platforms offer no visibility into agent behavior at all, let alone timeline analysis and automatic shutdown capabilities. The tool maps directly to NIST ID.AM and DE.CM by discovering agents hidden behind tokens and ephemeral sessions, then monitoring their actions in real time with policy-based guardrails. Skip this if your organization runs mostly static ML models or hasn't yet moved beyond chatbot experiments; the ROI appears when agent sprawl becomes operational reality.

Data verified Apr 2026