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SANJOSE, Calif. —PointGuard AI today announced the MCP Security Gateway, a securitycontrol point designed to protect enterprises as autonomous AI agents expandacross business systems. The gateway provides zero-trust authorization,tool-level controls, and runtime guardrails to ensure agents interactsafely with enterprise tools, APIs, and data.
Thegateway is part of the PointGuard AI Agentic Security Platform, whichsecures autonomous agents, MCP infrastructure, models, and data across the fullAI lifecycle while giving organizations visibility and governance acrosscomplex AI ecosystems.
AIagents are rapidly transforming enterprise operations by autonomouslyinteracting with systems and services. But as MCP servers proliferate, agentscan gain uncontrolled access to tools and sensitive data. Without strongguardrails, mistakes or malicious inputs can trigger unintended actions acrossenterprise environments.
Industryanalysts have highlighted the need for security control points in agenticarchitectures. Gartner® recently recommended organizations “Deploy AI/APIgateways or MCP proxies to mediate traffic, enforce policies and monitor agentbehavior continuously.” 1
ThePointGuard AI MCP Security Gateway acts as a centralized policyenforcement layer for agent ecosystems. It authenticates agents and MCP serversthrough enterprise identity systems, enforces granular tool permissions, andinspects agent interactions in real time to prevent unsafe behavior.
“AutonomousAI agents introduce new risks because they can interact with multiple systemswithout direct oversight,” said said Chad Quayle, Sr. Director, ChiefData & AI Security Architect at Finastra, one of the world's largestfinancial services technology companies. “Security teams need clear controlsover what agents can access and what actions they can take.. “Security teams need clear controlsover what agents can access and what actions they can take. The PointGuard AIMCP Security Gateway helps provide that level of visibility and policyenforcement.”
PointGuarddifferentiates with contextual security, which evaluates risk acrossmultiple dimensions including the agent’s role, real-time situational context,behavioral history, and the trust relationship between agents, MCP servers, anddownstream data sources. This enables adaptive policies aligned with enterpriseworkflows.
Theplatform is also built secure-by-design, embedding security directlyinto the agent development lifecycle. Governed prompt management, enterprisesecrets vault integration, and human-in-the-loop approvals help ensure agentsare deployed safely from the start.
“AgenticAI is moving from experimentation to production faster than most organizationsexpected,” said Pravin Kothari, CEO of PointGuard AI. “The MCP SecurityGateway provides the control point enterprises need to ensure agents operatesafely and in alignment with business policies.”
About PointGuard AI
PointGuard AI delivers an enterprise security platform for generative andagentic AI, securing models, agents, MCP ecosystems, and applications. Theplatform combines discovery, AI red teaming, guardrails, data protection, and afully integrated MCP Security Gateway for zero-trust control of agentinteractions.
Built by Silicon Valley security veterans,PointGuard AI enables organizations to safely scale AI with embedded security,governance, and control.
1. Gartner, Manage theCybersecurity Risks of the Model Context Protocol, by Craig Lawson, 14 November2025
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