Noma Security

Noma is an enterprise AI and agent security platform that secures the full AI lifecycle from models to autonomous agents. It spans four context-sharing products: discovery and posture management (AI-SPM) that scans the environment to inventory every model, agent, MCP server, and data source and build a relationship map; Agent Access Control that governs what each agent and MCP server can access, letting security teams approve, unapprove, or flag individual tools (not just whole systems) and scope policies by tool, agent type, user, team, or environment, checking every MCP connection against a registry the moment it is established; runtime AI Detection and Response (AI-DR) whose proprietary AI security models monitor every prompt, response, tool call, MCP interaction, and agent-to-agent communication in real time and detect, mask, or block threats before they execute; and continuous AI Red Teaming that adversarially tests defenses against prompt injection, jailbreaks, and data leakage. Its Agent Risk Management (ARM) offering combines discovery, posture management, and runtime protection to visualize and control an agent's blast radius, intercepting dangerous tool and permission combinations before deployment. Because each product shares context, discovery and posture inform what an agent connects to, access control defines what it is permitted to do, and that context flows into runtime detection to sharpen every alert. Covering homegrown, SaaS, and developer-machine agents and purpose-built for regulated enterprises, Noma is the leading independent counterpart to Zenity in the AI-agent-security cluster, distinguished by first-class MCP tool-level governance and adversarial red teaming as a native product.