Latest news with #MCPGateway
Business Upturn
13 hours ago
- Business
- Business Upturn
Operant AI Launches MCP Gateway: Enterprise-Grade Runtime Defense for MCP-Connected AI Applications
SAN FRANCISCO, June 16, 2025 (GLOBE NEWSWIRE) — Operant AI , the world's only Runtime AI Defense Platform, today announced the launch of MCP Gateway , a groundbreaking expansion of its flagship AI Gatekeeper™ platform, that delivers comprehensive security for Model Context Protocol (MCP) applications. As organizations rapidly adopt open-source MCP servers and AI agents across their infrastructure, MCP Gateway provides the first enterprise-grade solution to secure these critical AI workflows at runtime. MCP Gateway introduces real-time discovery, detection, and defense for every layer of the MCP stack—from local development tools like GitHub Copilot and Claude Desktop to remote AI agents deployed across Kubernetes, AWS Bedrock, Azure, Google Vertex AI, and more. 'The widespread adoption of open-source MCP servers represents one of the most significant security challenges facing enterprises today,' said Vrajesh Bhavsar, CEO and co-founder of Operant AI. 'Organizations are deploying these powerful AI tools without visibility into what they're doing, what data they're accessing, or how they're being used. MCP Gateway changes that by bringing comprehensive security, governance, and visibility to the entire MCP ecosystem.' MCP Gateway is purpose-built to empower organizations to safely and effectively leverage AI agents and MCPs by providing robust security across the entire lifecycle. Key features include: MCP Discovery: Complete Visibility Into AI Agent Ecosystems Automatic real-time MCP tool catalogs and AI agent discovery across all environments Live traffic graphs and telemetry showing active access patterns between AI agent clients and MCP servers End-to-end visibility from development tools to cloud deployments, eliminating shadow MCP server blind spots Comprehensive discovery spanning coding agents to remote AI agents in multi-cloud environments MCP Detections: Advanced Threat Detection for AI-Specific Risks Real-time detection of sensitive data leakage to and from AI agents and MCP tools Identification of emerging agentic AI threat vectors, including tool poisoning, jailbreaks, and unauthorized access Supply chain security monitoring for vulnerabilities in local MCP servers and misconfigurations in remote servers Trust and risk scoring for all MCP servers in the environment MCP Defense: Proactive Protection and Governance Enforcement of MCP trust zones with live blocking of untrusted servers and tools Prevention of sensitive data and IP leakage through real-time flow blocking and auto-redaction Least privilege execution controls and granular access permissions for the MCP tool usage Centralized governance framework for enterprise-wide AI agent and tool management Rate limiting and encryption standard enforcement for all MCP communications Ecosystem Partnership Strategy Operant is launching the MCP Gateway with a comprehensive ecosystem partnership program designed to secure the entire MCP vendor landscape. Operant is working closely with MCP vendors and AI tool providers to deliver pre-integrated security tooling, helping partners secure their customers by embedding AI Gatekeeper's runtime defenses directly into their MCP offerings. 'We're not just securing MCP applications – we're enabling the entire ecosystem,' said Ashley Roof, CMO and co-founder at Operant AI. 'Our partnership approach mirrors our successful sales enablement programs with model providers, creating a security foundation that allows MCP vendors to serve enterprise customers confidently.' MCP Gateway is currently available as part of the AI Gatekeeper platform, with comprehensive integration support for existing MCP servers and AI agent deployments. The solution supports all major cloud platforms and development environments where MCP applications are deployed. To learn more, visit: About Operant AI Operant AI, the world's only Runtime AI Application Defense Platform, actively protects every layer of live cloud and AI applications from infrastructure to APIs. Unlike most cybersecurity tooling that is limited to single-layer visibility and lacks the ability to actually block attacks, Operant's 3D Runtime Defense Platform discovers, detects, and defends >80% of the OWASP Top 10 most critical attacks across APIs, Cloud and LLMs. Within minutes of Operant's single-step deployment, security and AI engineering teams gain a completely new level of active protection for their AI and Cloud applications, workloads, models, APIs, and Agents, bringing frictionless real-time security to dev, sec, and ops so that companies can deploy products and AI faster without security holding them back. Operant AI is a Series A company funded by Silicon Valley Venture Capital firm Felicis and Washington DC venture capital firm SineWave. It is headquartered in San Francisco, California, and was founded by Vrajesh Bhavsar, Dr. Priyanka Tembey, and Ashley Roof, industry experts from Apple, VMWare and Google (respectively). Operant AI was recently named as a representative vendor in Gartner's Market Guide for AI Trust, Risk, and Security Management (AI TRiSM). Media Contact:Erica Anderson [email protected]
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
