By: Jake Smiths
As AI tools become deeply embedded in software development workflows, Upwind Security is extending its visibility from cloud workloads to the developer devices where many of those interactions begin.
The company announced AI Sensor for Endpoints, a new capability designed to help security teams monitor AI-related activity originating from developer workstations and connect it with cloud identities, actions, and services. The release is positioned as a response to a changing enterprise attack surface in which AI systems increasingly operate across endpoints, SaaS applications, and cloud infrastructure.
Developer Laptops Become a Larger Piece of the Security Puzzle
For years, developer laptops have been considered high-value targets because they often contain credentials, tokens, and privileged access to critical systems. According to Upwind, AI adoption is amplifying that risk by turning those devices into gateways that can interact with a wide range of enterprise resources.
The company says modern AI workflows frequently involve connections to MCP servers and other services, enabling AI-powered tools to retrieve information and perform actions across multiple platforms. In that environment, a compromised workstation can potentially affect systems far beyond the device itself.
Security teams have traditionally relied on separate endpoint and cloud security tools, but Upwind argues that this approach can leave important context scattered across multiple systems. Understanding how an AI-driven action begins on a workstation and ultimately affects cloud resources often requires correlating data from several sources.
A Single View of Endpoint and Cloud Activity
AI Sensor for Endpoints is intended to bring those pieces together. Upwind says the capability extends its existing cloud and AI security platform by incorporating endpoint telemetry into the same environment that monitors cloud identities, actions, prompts, and resources.
Rather than treating endpoint activity as a separate security domain, the platform presents the full sequence of events in a single view, allowing security teams to trace activity from the originating device through the cloud systems it touches.
“In the new world of AI Agents and MCP servers, the cloud risk extended to the edge, where tokens, permissions, and cloud actions are now taken automatically from the developers’ workstations. To truly protect the cloud, we must help security teams see the journey from the endpoint,” said Amiram Shachar, CEO of Upwind Security.
Monitoring AI-Driven Actions in Real Time
According to the company, the new sensor enables organizations to monitor MCP connections initiated from developer endpoints, correlate endpoint activity with cloud identity and action data, and detect anomalous AI-driven behavior across SaaS and cloud platforms.
The focus is not simply on collecting additional telemetry. Instead, Upwind emphasizes the ability to understand the relationships between actions on a workstation and the downstream effects those actions have across connected environments.
That level of visibility is becoming increasingly important as AI agents gain access to permissions and workflows that allow them to interact with enterprise systems on behalf of users.
AI Is Reshaping Security Boundaries
The launch underscores a broader trend in enterprise security. As organizations integrate AI into development and operational processes, the traditional distinction between endpoint security and cloud security is becoming less clear.
An activity that starts on a laptop may quickly extend into cloud services, SaaS applications, and other connected platforms. Upwind’s latest release is built on the idea that security teams need visibility across the entire path, rather than isolated snapshots from different tools.
By adding an AI Sensor for Endpoints to its platform, the company is making the case that effective AI security now requires understanding not only what happens in the cloud, but also where those actions originate.
