Latest news with #SGNL
Business Wire
03-06-2025
- Business
- Business Wire
SGNL Launches MCP Gateway to Enable Secure AI Adoption for Enterprise Workforces
PALO ALTO, Calif.--(BUSINESS WIRE)--AI agents are proliferating across enterprises faster than security teams can govern—creating massive blind spots and risk. SGNL today announced that its Model Context Protocol (MCP) Gateway is live with private availability to customers. The release puts identity-first security policies in the path of every AI interaction, automatically blocking unauthorized actions while maintaining business velocity. The release puts identity-first security policies in the path of every AI interaction, automatically blocking unauthorized actions while maintaining business velocity. MCP is revolutionizing how AI agents interact with internal and external systems—enabling them to perform tasks, interact with data, and trigger workflows across the enterprise. But without robust access controls, these agents can operate unchecked, risking over-permissioned access and unintended data exposure. Because of this, enterprises have been hesitant to approve AI tools for their workforce. SGNL's MCP Gateway changes that. It brings centralized, dynamic authorization to every MCP server in the enterprise—governing access not just based on what the agent wants to do, but who they represent, where the request is coming from, and why it's being made. '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.' Eliminating blind access in the age of autonomous IT AI agents are entering enterprise workflows faster than security teams can respond. From summarizing sensitive data to triggering downstream actions, they don't inherently understand risk, yet they operate at machine speed across dynamic contexts where traditional boundaries no longer apply. This creates a fundamental mismatch. Legacy role-based access control was designed for predictable human behavior, not autonomous systems making thousands of decisions per minute. Enterprises can't simply "IAM harder" with existing tooling because static RBAC becomes exponentially more dangerous when applied to agents that never sleep, never second-guess themselves, and correlate data in ways humans cannot. The result is blind access at scale, where broadly privileged roles and brittle permission matrices compound risk with every agent interaction. The SGNL MCP Gateway addresses this head-on with: Real-time policy enforcement between MCP clients and servers Continuous evaluation of identity, device compliance, and request context Default-deny architecture with enterprise-wide MCP server registry that grants access only to approved services when explicitly justified Centralized MCP server registry and visibility into every AI agent interaction '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.' A real-world example: stopping data loss before it happens In a common use case, an account executive attempts to use an AI agent to summarize Salesforce data from a non-compliant laptop. Without SGNL, the agent would retrieve and expose potentially sensitive customer data. With SGNL's MCP Gateway in place, contextual policy enforcement blocks the request—ensuring that only secure, compliant actions are permitted. This is just one of countless scenarios where real-time governance makes the difference between acceleration and exposure. See SGNL's MCP Gateway in action Request a demo at to see how SGNL's MCP Gateway governs AI agent access for enterprise workforces. About SGNL SGNL's modern Privileged Identity Management is redefining identity-first security for the enterprise. By decoupling credentials from identity and enabling real-time, context-aware access decisions, SGNL empowers organizations to reduce risk, streamline operations, and scale securely. Whether it's humans or AI agents, SGNL keeps your critical systems and sensitive data secure. That's why Fortune 500 companies are turning to SGNL to simplify their identity access programs and secure critical systems. Learn more at
Yahoo
29-03-2025
- Business
- Yahoo
With MCP, AI Agents Now Have Power. SGNL Makes Sure They Use It Responsibly.
MCP unlocks a new generation of AI-powered automation — but also a new class of access risk. SGNL ensures enterprises stay in control, even as agents take the wheel. PALO ALTO, Calif., March 28, 2025--(BUSINESS WIRE)--A new wave of AI-powered automation is hitting the enterprise. Agents powered by large language models (LLMs) are now capable of performing real tasks across internal systems — from updating records to analyzing data and taking action — all triggered by a simple prompt. But with that power comes risk: without proper controls, these agents can access far more than they should. Today, SGNL, the modern privileged identity management (PIM) platform, announced support for Model Context Protocol (MCP), a fast-emerging standard originally proposed by Anthropic, and now also adopted by OpenAI, that allows AI agents to integrate with real-world tools. With SGNL in place, enterprises can adopt these capabilities without opening the door to uncontrolled access, data exposure, or compliance violations. "MCP is enabling a powerful new interface for AI," said Erik Gustavson, co-founder and Chief Product Officer at SGNL. "But like every interface shift before it, from cloud to mobile to APIs, it demands a new layer of security. SGNL provides that layer with identity-aware, policy-driven decisions made in real time." Power without guardrails is a problem While MCP unlocks a new class of productivity, it also removes many of the traditional boundaries that govern access. Once authenticated, an AI agent typically has broad access to systems for the duration of its session — without the ability to distinguish between what's sensitive, confidential, or inappropriate to share. A seemingly simple prompt like "What's my projected headcount next year?" could surface data tied to layoffs or internal reorgs. Multiply that by dozens of agents operating across systems, and enterprises face an exponential increase in the complexity (and risk) of access management. "The problem isn't necessarily bad intent. It's blind access," said Marc Jordan, VP of Product Management at SGNL. "These agents don't inherently understand risk or sensitivity. Without real-time controls, it's only a matter of time before sensitive content is inadvertently exposed." SGNL: built for the agentic era Legacy role-based access control (RBAC) wasn't designed for autonomous systems. It assumes static roles, predictable patterns, and human decision-making, none of which apply in an agentic environment. With AI agents operating across tools, tasks, and teams, RBAC becomes either too permissive or too restrictive — and always too brittle. SGNL brings real-time, contextual authorization to MCP-based environments, applying the same dynamic policies used to govern human access to AI agents. Its policy-as-a-proxy architecture sits between agents and enterprise systems, making a fresh decision for every request based on: Who the requester is (user identity) What they're trying to access Why they need it (based on context) Whether policy allows it in that moment This means enterprises don't have to rely on brittle, over-privileged session tokens, legacy access controls, or hardcoded logic. SGNL integrates seamlessly, denying access by default — and granting it only when it's needed. The platform's approach is already proven at scale, protecting critical systems and data for Fortune 50 and Fortune 500 companies. Now, it extends that same protection to autonomous agents acting on their behalf. "We built SGNL for moments like this — when technology leaps forward but security isn't keeping up," added Gustavson. "AI agents should help move the business faster, not become a liability." See SGNL secure AI agents in action To see how SGNL protects against human and agent overreach, session sprawl, and silent data exposure in real time, schedule a demo today. About SGNL SGNL's modern Privileged Identity Management is redefining identity security for the enterprise with its cutting-edge identity data fabric. By decoupling credentials from identity and enabling real-time, context-aware access decisions, SGNL empowers organizations to reduce risk, streamline operations, and scale securely. That's why Fortune 500 companies are turning to SGNL to simplify their identity access programs and secure critical systems. Founded in 2021, SGNL is backed by top security technology investors, including Microsoft's M12 Venture Fund, Cisco Investments, Brightmind Partners, Costanoa Ventures, and others. Learn more at View source version on Contacts For media inquiries: press@ Sign in to access your portfolio
