Do Your Endpoint Tools Know Which AI Components Are Running?
Browser and IDE extensions, packages, plugins, MCP servers and AI agents — the new endpoint attack surface.
Do our security tools truly know which AI components are installed and running on our endpoints?
In the past, Endpoint Security primarily focused on binaries, processes, and familiar applications.
The Evolving Endpoint Landscape
However, the modern work environment also includes:
- Browser Extensions and IDE Extensions
- Packages and Libraries
- Plugins and MCP Servers
- AI Agents and Coding Assistants
- AI Models and Model Artifacts
- Scripts and components from Marketplaces and Registries
These components can gain access to code, files, emails, credentials, and organizational systems. They can also often update or change their behavior after installation, posing significant risks.
Introducing Agentic Endpoint Security
This is precisely why Palo Alto Networks acquired Koi and defined a new category: Agentic Endpoint Security.
Koi provides visibility and control over the Non-Binary Software layer, enabling organizations to understand:
- Which components are installed and on which endpoints
- Who installed them and who is behind them
- What resources they can access
- How they behave and update
- And what their risk level is
Based on this information, policies can be defined by user, group, component type, and risk level, allowing for the enablement, blocking, or removal of components that do not comply with organizational policies.
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