New York – September 23, 2026 -- Noma Security has been named a Market Shaper in Gartner's Emerging Market Quadrant for AI Application Security among startup vendors, placing it in the category Gartner defines as "Full-Spectrum, Context-Aware Agentic Security."
Gartner flags a new runtime risk as AI agents gain autonomy
The Gartner report states that vendors in this quadrant analyze the full spectrum of AI agent behaviors, including user intent, agent instructions, memory, tool use, data access, and system modification actions, comparing intended permissions against real-time behavior to flag deviations or misuse. Gartner notes security vendors are refining least-privilege enforcement and intent-drift detection as agents chain actions autonomously across long sessions without continuous permission verification.
Noma runs on 2.6 million endpoints across Fortune 500 clients
Noma secures endpoint agents including Claude Code and Cursor, SaaS agents built in Copilot Studio and Agentforce, and cloud agents on Bedrock, Azure, and Databricks from a single platform. The company operates under multiyear enterprise license agreements with Fortune 500 and Global 2000 organizations in financial services, pharma, insurance, and technology. Databricks serves as both a strategic partner and an early investor in the company.
CEO says agent security requires comparing intent against real-time behavior
"Securing agents comes down to two questions: what is this agent supposed to do, and what is it actually doing right now," said Niv Braun, CEO and Co-Founder of Noma. He said the platform lets enterprises define policy for every agent in one place and enforce it across existing infrastructure without slowing agent operations.
Runtime Context Engine enables mid-session intervention on drifting agents
Noma's platform enforces policy through native integrations with gateways including Kong, Amazon Bedrock AgentCore, LiteLLM, TrueFoundry, and MCP gateways, alongside native hooks inside Claude Code, Cursor, and Copilot. Its Runtime Context Engine combines agent posture data, such as permissions and blast radius, with behavioral intent tracking across a session. Responses to detected deviations range from steering an agent mid-session to masking sensitive data, blocking a single action, or terminating the agent's operation entirely.
Recognition follows prior Gartner Cool Vendor designation for Noma
The Market Shaper placement follows Noma's earlier naming as a Cool Vendor in Gartner's Cool Vendors in AI Security research. Noma has also been referenced in multiple other Gartner publications, including the Market Guide for Guardian Agents and the Market Overview for AI Usage Control. Gartner recommends Market Shaper tools for complex, homegrown multiagent applications requiring deep runtime monitoring and security testing.