Upwind today incorporated Inside-Out AI Security into its integrated CNAPP platform. The release helps to secure the cloud for enterprises that are building complicated AI services, data flows, and AI agents. Inside-Out AI Security combines AI posture management, on-the-fly AI detection and response, and runtime protection with Upwind’s cloud security suite.
Security teams now gain AI posture visibility, inventories of AI models and agents, and runtime behavior tracing across data, API, identity, and cloud layers. Besides that, Upwind analyzes AI workloads—like inference endpoints, cloud agents, data flows, and API interactions—so it avoids static configs entirely.
While organizations are extensively deploying AI, traditional security tools are falling behind. They find it difficult to track AI activities that are spread across different services, frameworks, and infrastructures. Upwind eliminates this problem by equipping teams with an understanding that is based on the actual runtime of the AI about what, where, and how.
Using AI-SPM, AI-DR, AI-BOM, and AI Network Visibility, Upwind provides a unified view of AI systems, runtime traffic, API calls, and data interactions. Besides that, it provides AI security testing for the detection of adversarial threats, unsafe tool use, and potential data leaks. Consequently, firms can detect and address AI risks in real time, including suspicious agents, exposed API keys, and insecure AI traffic.
Upwind’s Inside-Out AI Security broadens CNAPP coverage to support AI workloads, allowing enterprises to use AI safely without compromising security or compliance.
To explore how Security Operations Centers (SOC) play a crucial role in defending against modern cyber threats, read our latest SOC News.
Source: Businesswire
