SGNL Launches MCP Gateway to Enable Secure AI Adoption Across Enterprise Workforces
As artificial intelligence (AI) agents become increasingly integrated into enterprise workflows, they bring with them unprecedented opportunities for innovation and efficiency. However, this rapid adoption has also introduced significant security challenges. Without robust access controls, AI agents can operate unchecked, leading to over-permissioned access, unintended data exposure, and heightened risks for organizations. To address these concerns, SGNL has announced the private availability of its groundbreaking Model Context Protocol (MCP) Gateway, a solution designed to deliver secure, identity-first access control for every AI interaction.
Bridging the Gap Between Innovation and Security
The proliferation of AI agents in enterprises is outpacing the ability of security teams to govern their actions effectively. Traditional role-based access control (RBAC) systems were designed for predictable human behavior, not autonomous systems that make thousands of decisions per minute. These legacy systems are ill-equipped to handle the dynamic and context-aware nature of AI-driven workflows, creating massive blind spots and risks.
Enter SGNL’s MCP Gateway, a revolutionary solution that introduces centralized, dynamic authorization for every AI interaction. By embedding real-time, context-aware access controls into the path of every AI-enabled task, the MCP Gateway ensures that unauthorized actions are automatically blocked while maintaining business velocity. This approach allows enterprises to confidently adopt AI tools without compromising on security or compliance.
“SGNL’s MCP Gateway delivers more than just a technical breakthrough,” said Stephen Ward, co-founder of Brightmind Partners, former Home Depot CISO, and ex-Secret Service cybersecurity leader. “It’s a strategic game-changer that gives enterprises the levers to align AI automation with business policy in real time, bridging the critical gap between innovation and control.”
Addressing Blind Access in the Age of Autonomous IT
AI agents are transforming how enterprises operate, from summarizing sensitive data to triggering downstream actions. However, these agents do not inherently understand risk, yet they operate at machine speed across dynamic contexts where traditional security boundaries no longer apply. This creates a fundamental mismatch between the capabilities of AI and the limitations of legacy security frameworks.
Static RBAC systems, which rely on predefined roles and permissions, become exponentially more dangerous when applied to autonomous systems. Unlike humans, AI agents never sleep, never second-guess themselves, and correlate data in ways that humans cannot. When combined with broadly privileged roles and brittle permission matrices, this results in blind access at scale—where every agent interaction compounds risk.
The SGNL MCP Gateway addresses these challenges head-on with the following key features:
- Real-Time Policy Enforcement: The Gateway enforces access policies in real time between MCP clients and servers, ensuring that every AI interaction is governed by strict, contextual rules.
- Continuous Evaluation of Context: It evaluates identity, device compliance, and request context continuously, adapting to the dynamic nature of AI workflows.
- Default-Deny Architecture: The Gateway operates on a default-deny model, granting access only to approved services when explicitly justified. This ensures that AI agents cannot perform unauthorized actions.
- Centralized Visibility: With a centralized MCP server registry, enterprises gain complete visibility into every AI agent interaction, eliminating blind spots and enabling proactive governance.
“The Gateway isn’t just a feature—it’s foundational,” said Scott Kriz, CEO and co-founder of SGNL. “With it, we’re giving customers the ability to harness AI’s full potential without compromising on security and control. Our customers can now confidently adopt agent-based workflows knowing that access decisions are dynamic, contextual, and enforceable at every step.”
Real-World Impact: Stopping Data Loss Before It Happens
To illustrate the importance of the MCP Gateway, consider a common use case: an account executive attempts to use an AI agent to summarize sensitive Salesforce data from a non-compliant laptop. Without SGNL’s solution, the agent would retrieve and expose potentially sensitive customer information, posing a significant security risk.
However, with the MCP Gateway in place, contextual policy enforcement blocks the request. The system evaluates the user’s identity, the compliance status of the device, and the nature of the request before determining whether access should be granted. In this scenario, the Gateway ensures that only secure, compliant actions are permitted, preventing data loss before it occurs.
This is just one example of how real-time governance makes the difference between acceleration and exposure. By enforcing dynamic, context-aware policies, the MCP Gateway empowers enterprises to leverage AI’s transformative capabilities while safeguarding sensitive data and maintaining regulatory compliance.
A Strategic Solution for the Future of AI in Enterprises
The release of the MCP Gateway marks a pivotal moment in the evolution of AI security. As AI agents continue to proliferate across industries, enterprises must adopt solutions that enable secure, scalable adoption. The MCP Gateway provides the missing control plane for AI, ensuring that every interaction is governed by robust, identity-first policies.
By addressing the inherent risks of autonomous systems, SGNL is helping enterprises overcome the hesitation that has slowed the adoption of AI tools. With the MCP Gateway, organizations can confidently embrace AI-driven workflows, knowing that their security posture remains strong and adaptable.
Why This Matters for Enterprises
In today’s fast-paced digital landscape, the ability to innovate while maintaining control is paramount. The SGNL MCP Gateway bridges the gap between innovation and governance, enabling enterprises to unlock the full potential of AI without compromising on security. Its real-time, context-aware approach ensures that AI agents operate within the bounds of enterprise policies, protecting sensitive data and mitigating risks.
For security teams, the MCP Gateway offers peace of mind, providing centralized visibility and granular control over AI interactions. For business leaders, it accelerates the adoption of AI tools, driving efficiency and competitive advantage. And for employees, it ensures that AI-powered workflows are both secure and seamless.
