Noma Recognized as Market Shaper in Gartner AI Security Quadrant

Noma’s inclusion in the report centers on its capacity to bridge the gap between an AI agent’s stated instructions and its actual runtime actions. By analyzing user intent, memory, and tool usage across cloud platforms and developer endpoints, the platform identifies "intent drift"—the tendency for autonomous systems to deviate from their original goals during multi-step operations. With over 2.6 million endpoints currently secured, the company provides a unified control plane that allows security teams to define policies once and enforce them across diverse environments, including AWS, Azure, and Databricks.

Niv Braun, CEO and Co-Founder of Noma, noted that effective agent security requires a deep understanding of an agent’s "blast radius" and operational context. Rather than relying on static rules, the platform uses a Runtime Context Engine to evaluate behavior as it happens. This allows for granular responses, such as masking sensitive data or terminating an operation, without halting the agent’s workflow entirely. The company, which has secured over $130 million in funding, works with Fortune 500 organizations across the financial, insurance, and pharmaceutical sectors to manage risks associated with agentic AI infrastructure.