F-Secure, AMD Silo AI Demonstrate Adaptive TrustPath Routing

F-Secure and AMD Silo AI say they demonstrated an adaptive model-routing approach for F-Secure TrustPath. It is designed to decide where each AI-agent interaction is processed, shifting work among a user’s device, private infrastructure and approved cloud services rather than using one environment throughout.

The proposed system weighs data sensitivity, cost, model capability and performance before choosing a route. F-Secure expects unspecified TrustPath capabilities to enter beta in the fourth quarter of 2026, with production planned for 2027. Those remain company targets, not completed releases.

TrustPath is designed to assess individual steps in context rather than assign one trust level to an entire website or session, according to the companies. A browsing request could go to one model, while a later login or payment step could be directed to a more controlled environment. That allows the route to change as an agent moves through a task.

AMD’s architecture description presents Lemonade as one possible local-processing endpoint. Systems based on AMD EPYC processors and Instinct accelerators would serve private or cloud workloads. The public Lemonade repository documents a local AI server with CPU, GPU and NPU backends, as well as experimental routing to OpenAI-compatible cloud providers. It does not establish that Lemonade is currently integrated with TrustPath.

The announcement does not identify the models used in the demonstration, routing thresholds, test environment or methodology. Nor did the companies provide public deployment results, a security evaluation, a privacy audit, latency measurements or cost benchmarks. Their claims that the design can improve security, privacy and efficiency therefore have not been independently established.

F-Secure’s announcement does not specify which capabilities will be included in the Q4 2026 beta or define the scope of the planned 2027 production release.