Enterprise AI Security Platform Reference
Quick reference guide for Noma Security's positioning, market landscape, and structured learning path to reach expert level in AI Security.
Traditional AppSec / CloudSec tooling is insufficient for autonomous AI systems.
Noma is building a broad enterprise AI security platform focused on securing LLMs, RAG systems, AI agents, copilots, AI development pipelines, and runtime AI interactions.
"The Palo Alto / Wiz / CrowdStrike for enterprise AI systems."
| Security Layer | What It Means | Noma Position |
|---|---|---|
| AI Discovery / AISPM | Inventory + posture + governance | Strong |
| AI Red Teaming | Adversarial testing / jailbreak testing | Strong |
| Runtime Protection | Prompt filtering / guardrails / monitoring | Strong |
| Agent Security | Securing autonomous agents/tools | Very Strong |
| AI Governance / Compliance | AI policy + risk + compliance | Strong |
| Model Security | Protecting ML models/training pipelines | Moderate |
| Traditional AppSec for AI | SDLC / code / API security | Adjacent |
The “CNAPP/CSPM equivalent” for AI.
"Every prompt, every response, every tool call."
Autonomous agents with permissions, tools, workflows, and data access — the fastest growing attack surface.
"An enterprise AI security platform focused on visibility, governance, red teaming, and runtime protection for LLMs and AI agents."
"Trying to become the control plane for enterprise AI security."
Publish AI security testing notes, prompt injection findings, agent security experiments, MCP threat models.