WitnessAI Unveils Cutting-Edge Agentic Control for Enhanced AI Security Management

WitnessAI Brings Advanced Agentic Control to AI Security



In an age where artificial intelligence is becoming integral to business operations, security concerns are escalating. WitnessAI, a leading provider of AI-native security solutions, has unveiled its new feature, Agentic Control, aimed at transforming how enterprises manage and secure AI agents and Model Context Protocol (MCP) servers.

The Need for Enhanced Security



With enterprises increasingly deploying AI agents across various platforms such as chat applications, integrated development environments (IDE), and custom workflows, the potential for operational risks has surged. Compromised agents pose significant threats as they can execute tasks autonomously, access sensitive data, and potentially exfiltrate crucial information. Traditional security measures often struggle to keep up with the intricate workflows of AI agents, leaving organizations vulnerable.

Introducing Agentic Control



WitnessAI's Agentic Control addresses these challenges head-on by providing a comprehensive control plane that enables organizations to discover, govern, and secure their AI agents. The platform offers enhanced visibility into agent behaviors, ensuring that companies can not only monitor but also restrict actions taken by AI agents in real-time.

Key Features


1. Agent Discovery and Visibility: The platform automatically identifies AI agents operating within enterprise environments. This includes not just standard applications but also custom-built agents in cloud settings. The newly introduced MCP Catalog further enables security teams to evaluate tools against established risks, such as those identified by OWASP and CVE.

2. Governance of Approved Tools and MCP Servers: Organizations can now create comprehensive allow-lists for sanctioned MCP servers and tools, which can be enforced uniformly across all agentic environments. This ensures consistent application of security policies across the board.

3. Runtime Agentic Enforcement: The platform actively governs interactions within agentic applications, including IDEs, restricting unauthorized communications and enforcing compliance with security policies—as well as implementing defenses against potential threats, such as prompt injections.

The Vision Behind the Solution



Rick Caccia, CEO and co-founder of WitnessAI, articulated the pressing need for unified AI security:
"Enterprises are rapidly adopting AI agents capable of coding and accessing sensitive internal data. If security teams lack visibility, they can't adequately protect these systems. Our solution removes any dilemma between managing human users or AI agents; we provide an all-encompassing control framework to safeguard every aspect of AI interaction within organizations."

With a proven track record, WitnessAI claims a 99.3% accuracy rate on employee AI usage, leveraging the same foundational platform that oversees over 4,000 AI applications and more than 100 supported model types.

Availability and Future Outlook



WitnessAI's Agentic Control is now accessible to all existing customers, offering a new layer of governance that will fortify enterprise AI strategies. As businesses navigate the rapid deployment of AI technologies, solutions like Agentic Control will be critical in ensuring that AI activities are both compliant and secure. Find out more about WitnessAI and request a demo at WitnessAI’s website.

About WitnessAI



WitnessAI is the trusted AI security platform for enterprises aiming to protect and govern all AI activities. Through holistic visibility and intelligent policies, it enables organizations to not only defend against novel threats but also optimize productivity in an AI-driven world. With a focus on data sovereignty and compliance, WitnessAI is positioning itself as a leader in transforming AI security from a mere obstacle into a facilitator of innovation.

Topics Consumer Technology)

【About Using Articles】

You can freely use the title and article content by linking to the page where the article is posted.
※ Images cannot be used.

【About Links】

Links are free to use.