Silverfort Secures MCP with Dynamic, Auditable AI Agent Control

Silverfort, the leading identity security company, is debuting AI Agent Security, a solution that extends identity-first protection to AI agents. Ensuring agents are governed, visible, and protected with the same stringency applied to human users, AI Agent Security tethers every agent to a human identity—analyzing its activity, the resources it tries to access, and enforcing access control policies onto it.

Since AI agents operate in a gray area between human and non-human identities, enforcing robust governance and accountability becomes complex. This complexity, compounded with the fact that AI agents are designed to act autonomously, make decisions, and access sensitive systems, becomes a recipe for risk.

For example, while many enterprises are adopting MCP (Model Context Protocol)—a standardized way to connect AI models to different data sources and tools—they do so without a proper security framework in place to limit unauthorized access.

Silverfort solves this challenge by approaching AI agents as they would human identities, tying every agent action to a real human owner—meaning, every AI agent action is tethered to the human who initiated it. This establishes a clear lineage of accountability, creating a concise, immutable audit trail. AI Agent Security also enforces least privilege with robust, real-time security controls that place effective guardrails around AI agent activity.

"The pressure to adopt AI is growing rapidly. CISOs and CIOs face a task that feels impossible—aggressively adopt AI, yet be sure to keep the company's systems safe," said Yaron Kassner, CTO and co-founder, Silverfort. "Today AI agents connect straight from the LLM into corporate data stores with limited visibility or guardrails. By treating AI agents as a new type of identity, and connecting them to their human owners, we create an audit trail of activity and accountability. Further, security teams can apply inline security controls they need to allow teams to innovate and accelerate AI adoption, without the fear of destruction to corporate data and reputation."

Other features of AI Agent Security include:

• Inline security controls that allow dynamic authorization of AI agents as they connect to MCP servers and other internal systems, preventing over-privileged access
• Greater control of AI tools by approving how and when MCP servers and API tools are used
• Limit AI agent overreach by making it impossible for AI agents to act outside of their original purpose, limiting misuse and data leakage, whether malicious or accidental
• Discover and classify AI agents and monitor their activity
• Quick and easy deployment with integrations that don’t impact the end users or agent developers

To learn more about AI Agent Security, please visit https://www.silverfort.com/.