Real-time Visibility, Risk Assessment and Enforcement at the Machine Level for Agentic AI Systems
Model Context Protocol (MCP) gives AI systems the ability to take action, not just analyze, but execute. It’s powering the rise of agentic AI at an unprecedented pace, transforming how artificial intelligence operates within organizations.
This shift introduces new security risks traditional AI tools can’t handle. As AI agents gain the ability to interact with systems autonomously, organizations need comprehensive security controls to protect against emerging threats.
13,000+ known MCP servers and growing fast
Like microservices, but autonomous agents operating without human oversight, creating potential security gaps in your infrastructure.
Browser and endpoint tools can't see MCP activity, creating blind spots in threat detection and monitoring capabilities.
AI can trigger real-world actions without oversight, meaning automated responses need careful security controls to prevent unintended consequences.
Comprehensive security controls for monitoring, protecting, and governing AI agent behavior.
The most comprehensive solution for Agentic AI Security with enterprise-grade protection.
Endpoint-Level Enforcement: Thanks to our lightweight agent or reverse-proxy for your homegrown applications, enabling security teams to maintain control over AI interactions.
MCP Risk Scoring: Algorithmically assessing over 13,000 MCP servers on GitHub to identify emerging threats and vulnerabilities before they impact your organization.
Deep Inspection: Of interactions between users and MCP servers with comprehensive monitoring and analysis capabilities.
Custom GPT Security: Gain complete visibility into Custom GPT activity and agent behavior. Enforce granular policies by GPT and user group with automation. Allow or block usage based on your risk tolerance, licensing terms, and data security requirements.
Dynamic, autonomous, and deeply integrated into your systems. Built to monitor, control, and protect MCP interactions in real-time. Contact us to learn how TSUR can secure your AI infrastructure.
Book a DemoCommon questions about Agentic AI Security.
Agentic AI refers to AI systems that can take autonomous actions in the real world, not just analyze data or generate content. These agents can interact with external systems, make decisions, and execute tasks without constant human oversight.
MCP is a protocol that enables AI models to interact with external systems and services. It allows AI agents to take actions, access data, and integrate with various applications, creating new security considerations for organizations.
Traditional security tools were designed for human-initiated actions and known attack patterns. AI agents operate differently – they can act autonomously, at scale, and through novel pathways that existing security controls don’t monitor or understand.
Our AI security solutions integrate with your existing SIEM, SOAR, and security platforms through standard APIs and connectors. This allows you to incorporate AI security monitoring into your existing workflows and dashboards.
Emerging frameworks like the EU AI Act, NIST AI RMF, and ISO/IEC 42001 address AI governance and security. Our solutions help organizations meet these evolving requirements while maintaining operational efficiency.