Agentic Endpoint Security
Govern autonomous AI at the front line with complete visibility into AI tools, coding agents, applications, and enterprise data
Govern autonomous AI at the front line with complete visibility into AI tools, coding agents, applications, and enterprise data
AI is rapidly evolving from assistants that answer questions to autonomous agents that perform work on behalf of employees. Coding agents, AI browsers, computer use agents, desktop AI applications, local models, and MCP servers can read files, execute code, access enterprise applications, and automate complex workflows with minimal human oversight.
Many of these AI deployments are installed directly by end users, creating a new generation of Shadow Agents that operate outside traditional IT governance. Existing endpoint security tools can identify installed software, but they cannot determine what autonomous AI is capable of doing or whether its actions align with organizational policies.
PointGuard AI Agentic Endpoint Security provides front-line visibility, governance, and runtime protection for autonomous AI operating on employee endpoints, allowing organizations to confidently embrace agentic AI while maintaining security and compliance
identify
Continuously discover coding agents, AI browsers, desktop AI applications, local models, MCP servers, and agent frameworks operating across managed endpoints. Build a centralized inventory of autonomous AI, identify Shadow Agents, and understand where agentic AI is being deployed throughout the organization.
Discover autonomous AI deployments
Identify Shadow AI applications
Inventory local AI assets
visibility
Knowing an AI agent exists is only the beginning. Understand what each agent can access, which tools it can invoke, and how it interacts with enterprise resources to quickly identify high-risk deployments and prioritize governance efforts.
Inventory agent permissions
Identify enterprise resource access
Prioritize high-risk deployments
control
Apply consistent security policies that govern how autonomous AI operates across employee endpoints. Control agent deployments, restrict unauthorized AI applications, and enforce enterprise policies that limit unnecessary access while enabling employees to benefit from autonomous AI.
Govern autonomous AI deployments
Restrict unauthorized agent activity
Enforce enterprise security policies
protect
Autonomous AI should receive only the permissions required to perform authorized tasks. Govern how AI agents access local files, enterprise applications, APIs, browsers, and MCP servers to reduce excessive privileges and minimize enterprise risk.
Govern enterprise resource access
Control local MCP servers
Reduce excessive AI privileges
speed
Inspect prompts, responses, agent instructions, and MCP communications using PointGuard AI's High-Performance AI Guardrails. Industry-leading parallel AI processing delivers enterprise-scale runtime protection with less than 0.1 second latency, preventing malicious instructions and unauthorized actions before they execute.
Inspect agent activity in real time
Prevent prompt injection attacks
Block unauthorized agent actions
versatility
Deploy Agentic Endpoint Security using lightweight endpoint components managed through Microsoft Intune, Jamf, Kandji, and existing endpoint management platforms. Centrally manage policies through the PointGuard AI platform while supporting lightweight local enforcement to meet performance and privacy requirements.
Lightweight endpoint deployment
Centralized policy management
Optional local policy enforcement
Traditional endpoint security protects devices. PointGuard AI protects the autonomous AI operating on those devices. Discover Shadow Agents, understand agent capabilities, govern local AI deployments, and enforce runtime security policies through a unified platform designed specifically for the agentic AI era.
Clients Words
AppSOC brings it all together in one intuitive dashboard – helping me prioritize vulnerabilities and ensure compliance.
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