Netzilo has introduced significant enhancements to its AI Edge platform, aiming to help enterprises regain control over rapidly expanding AI ecosystems. As organizations accelerate the adoption of autonomous AI agents and advanced tools, security teams are encountering a growing challenge—limited visibility into unmanaged AI activities, commonly referred to as Shadow AI.
To address this issue, Netzilo AI Edge now delivers enterprise-grade capabilities focused on visibility, governance, and real-time threat response. Not only does the platform provide deeper insights into AI usage, but it also enables organizations to shift from passive monitoring to proactive enforcement and control.
Currently, enterprises are witnessing a surge in AI adoption, including tools like Claude Cowork and MCP-enabled workflows. However, employees and systems often use these technologies outside approved environments. As a result, Shadow AI has emerged as a critical risk factor. It includes unauthorized AI usage, unverified MCP tool execution, and uncontrolled data flows—each posing serious security threats.
To combat these risks, Netzilo AI Edge offers comprehensive visibility across the AI execution layer. For instance, it monitors large language model (LLM) interactions, tracks prompt exchanges, and maps MCP tool discovery and execution chains. Additionally, it observes local agent behavior and file system activity, allowing organizations to detect Shadow AI usage in real time. Consequently, enterprises can identify, classify, and manage AI activities more effectively.
Moreover, the platform introduces MCP Tool Governance, a feature designed to bring structure and security to the MCP ecosystem. Organizations can now discover tools accessed by AI agents, approve trusted integrations, and block or restrict potentially harmful ones. This centralized governance ensures that AI-driven workflows align with enterprise security policies.
Another key enhancement includes built-in Data Loss Prevention (DLP) for AI workflows. Netzilo integrates DLP controls directly into AI processes, enabling the detection of sensitive data exposure and preventing unauthorized data transfers. Furthermore, the system can redact confidential information and enforce strict data handling policies across prompts, outputs, and tool interactions.
At the core of these advancements lies AI Detection and Response (AIDR), a behavioral security layer specifically designed for agentic AI environments. This feature identifies threats such as prompt injection, malicious tool behavior, unauthorized capability injections, and other emerging AI-native attack patterns. As a result, security teams can detect, investigate, and respond to threats in real time.
Importantly, Netzilo emphasizes that these innovations support secure AI adoption at scale. By combining visibility, governance, and intelligent threat detection, the platform empowers enterprises to confidently embrace AI technologies without compromising security.
“Shadow AI is the new Shadow IT — but far more dynamic and harder to control,” said Egemen Tas, Co-founder and CEO of Netzilo. “Netzilo AI Edge gives enterprises the visibility to understand AI usage, the control to govern MCP tools, and the intelligence to detect and respond to AI-native threats — all in a single unified platform.”
Ultimately, Netzilo AI Edge sets a new benchmark for enterprise AI security by transforming how organizations monitor, manage, and secure AI-driven operations.
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