Noma Security, the leading AI security company, has officially announced the launch of its AI Agent Security solution, which happens to be the first ever AI security platform capable of securing agentic AI at scale.
According to certain reports, the stated development builds upon Noma’s extensive security platform with the fresher means to discover, monitor, and govern these advanced autonomous agents, while simultaneously deploying agentic AI across their organizations in a safe and secure manner.
To understand the significance of such a development, we must need to consider the fact that, unlike traditional cybersecurity threats, agentic AI actually introduces unique vulnerabilities including rogue agents operating without oversight, excessive data access permissions, as well as unpredictable runtime behaviors that can compromise entire networks and highly sensitive data.
You see, the technology’s autonomous nature means they are always at risk of exposing organizations to attacks that cascade across interconnected systems with extraordinary speed, thus dramatically amplifying their potential impact.
Against all that uncertainty, Noma’s purpose-built AI security and governance platform brings forth the necessary scale to manage agentic AI security enterprise-wide, and at the same time, maintain the agility to stay ahead of rapidly evolving AI threats.
The solution, from a practical standpoint, provides you with end-to-end coverage for all AI agent categories including no-code agents adopted by business users like ServiceNow, Salesforce AgentForce, and Microsoft Copilot Studio, application agents built by engineering teams like LangChain or CrewAI, along with coding agents used by developers and R&D teams such as Github Copilot.
“As AI agents become central to enterprise automation and decision-making, security cannot be an afterthought,” said Kevin Mooney, UiPath CISO. “Organizations need comprehensive visibility and control over their agentic AI deployments to ensure they can innovate confidently while maintaining robust security postures.”
Talk about the whole value proposition on a slightly deeper level, we begin from the promise of comprehensive agent discovery & insights. This translates to how the solution automatically facilitates discovery of every agent within an organizational environment, and it does so through deep contextual understanding of their complete profile including toolsets, functionality, data access permissions, MCP server connections, and operations.
Next up, we have supply chain scanning MCP and an assortment of agent toolsets coming into play. The technology in question is essentially designed to continuously scan the agent supply chain for vulnerabilities associated with AI agent toolset integrations, MCP server connections, agent frameworks, third-party APIs, and model dependencies.
Another detail worth a mention relates to the solution’s commitment towards optimizing agency control and risk management. Thanks to that, users can clearly define and enforce enterprise policies like permissive access, enforce enterprise policies, as well as prevent unauthorized actions across agent workflows.
Then, there is an aspect revolving around agentic red teming, an aspect which can come in handy to simulate real world agent attacks, all for the purpose of identifying vulnerabilities in autonomous AI systems before they can be exploited.
Hold on, we still have a few bits left to unpack, considering we haven’t yet touched upon the prospect of real-time runtime protection, which helps you apply guardrails to detect and block malicious prompts, rogue outputs, and unsafe behaviors, ensuring agents remain aligned, compliant, and secure.
We also haven’t touched upon the solution’s built-in compliance, inclusive of comprehensive audit trails for regulatory compliance and forensic analysis.
Rounding up highlights would be the potential for seamless deployment. We get to say so because of how AI Agent Security integrates natively into existing workflows and development environments, mandating no changes whatsoever to agent architecture.
Making this development even more significant would be Noma Security’s own statute. In case you weren’t aware, the company’s technology is currently being used by several Fortune 500 customers.
“AI agents have created a fundamental shift in how enterprises operate, with AI agents now becoming deeply integrated into the workforce and business operations,” said Niv Braun, Co-Founder and CEO of Noma Security. “AI agents are multiplying and are already embedded in enterprise workflows, yet most organizations have no visibility into these systems or a way to secure them. Noma is the first platform purpose built to secure agents at scale, providing unprecedented visibility and control.”