TLDR: Nokod Security has launched Adaptive Agent Security, a new solution designed to provide real-time visibility, governance, and threat protection for AI agents throughout their entire Application Development Life Cycle (ADLC). This aims to secure AI agents, particularly those created by citizen developers, against evolving threats and ensure compliance.
Nokod Security has officially announced the introduction of its Adaptive Agent Security platform, a groundbreaking solution engineered to deliver real-time visibility, robust governance, and proactive protection against threats targeting AI agents across their entire Agent Development Lifecycle (ADLC). This initiative addresses the growing challenge posed by AI agents, especially those developed by citizen developers and business users, which often operate in live systems, accessing data and APIs beyond the purview of traditional security measures.
The new offering from Nokod Security is designed to provide continuous and adaptive protection, meticulously monitoring the behavior of every AI agent to ensure secure and scalable innovation. A key aspect of this solution is its extended coverage for Microsoft Copilot Studio environments, embedding Nokod’s protection directly into one of the most widely adopted enterprise AI platforms. This ensures that Copilot Studio agents maintain safe operations without hindering the pace of innovation through continuous behavioral monitoring, policy enforcement, and real-time interception of risky actions.
According to Gartner, a significant shift is anticipated in the coming years: “By 2028, one-third of interactions with GenAI will invoke autonomous agents to complete tasks. With the potential creation of hundreds or thousands of agents, monitoring and observability will be critical. An adaptive governance approach, along with a vibrant community of practice, is essential.” This projection underscores the critical need for advanced security solutions like Nokod’s.
Nokod’s Adaptive Agent Security specifically targets the challenges of securing AI agents developed by citizen developers and no-coders within platforms such as Microsoft Copilot Studio, ServiceNow, UiPath, and Salesforce. These agents are built to automate workflows, implement logic, transfer data, and execute autonomous actions. Unlike traditional workflow automations, AI agents possess the ability to learn, adapt, and act autonomously, often extending beyond their initial programming scope.
With this launch, Nokod Security now offers real-time capabilities including:
Agent discovery and ownership mapping: Automatically identifies all AI agents across various development environments, linking them to their creators or owners and detailing their access to systems and data.
Behavioral profiling of AI agent activity and tool usage: Continuously learns and baselines normal agent behavior, including tool and connector usage, to effectively detect anomalies.
Detection and blocking of risky actions: Intercepts and prevents unauthorized connector use, environment bridging, or data exfiltration in real time, mitigating policy violations before they lead to data exposure or system disruption.
Continuous enforcement of security policies: Applies adaptive guardrails throughout the ADLC, ensuring agents remain compliant even as they evolve, learn, or autonomously modify their workflows.
Amichai Shulman, CTO of Nokod Security, emphasized the urgency of this solution, stating, “AI agents are now independently generating business logic, calling APIs and moving data across systems, often beyond the visibility of traditional security controls. With the launch of Nokod’s Adaptive Agent Security platform enterprises gain continuous visibility and control over every agent, and the ability to automatically monitor behavior in real time. By enforcing guardrails, and stopping data exposure or system disruption before it occurs, Nokod prevents costly outages and breaches.”
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The company highlights that traditional build-time controls are insufficient for AI agents that continuously learn and adapt post-deployment. Nokod’s adaptive methodology integrates continuous validation across the agent lifecycle, ensuring that every action is traceable, justifiable, and can be blocked if it deviates from expected behavior or violates established policies. This approach aims to provide security teams with ongoing assurance that all AI agents operate safely, transparently, and in compliance, without impeding innovation or increasing manual workload.
