Wedge Networks Launches WedgeSecure Agent: A Sovereign Workflow-Governance Platform for Securing Agentic AI at the Edge

May 30, 2026

Press Release

CALGARY, Canada – May 30, 2026 – Wedge Networks Inc. today announced the early release of WedgeSecure Agent, a workflow-governance platform that secures autonomous AI systems against a new class of cybersecurity threat: attacks that target the reasoning and judgment of AI agents

 rather than the software infrastructure they run on.

"Enterprise AI has crossed a line. We are no longer building systems that answer questions; we are deploying systems that plan, delegate, and act – and the security boundary has moved with them. The integrity of an agent's judgment is now the asset that has to be defended, and conventional cybersecurity tools were never built to see inside that judgment," said Dr. Hongwen Zhang, CEO of Wedge Networks. "WedgeSecure Agent is our answer. It is a sovereign, CPU-native platform that governs agentic AI workflows where they actually run – at the edge, on customer-controlled infrastructure, in the regulated environments that cannot send their data or their decisions to someone else's cloud."

Sovereign Security for a New Threat Class

Traditional cybersecurity products protect networks, endpoints, and applications against software-level exploits. With the proliferation of Agentic AI, there emerges a new class of threats that attacks the reasoning of AI agents. The guardrails shipped by AI framework and LLM vendors are best-effort based demo-grade solutions. They do not provide the holistic security and trust that govern what an autonomous agent intends to do, what context it reasons over, which model it consults, what output it produces, or what real-world actions it takes. 

WedgeSecure Agent is purpose-built to protect against this new class of threat. It operates as a set of containerized Policy Decision Point microservices that evaluate trust at consequential checkpoints across all trust domains, Intent, Context, Model, Content, and Action, and returns structured Decision Bundles that existing applications, agent frameworks, network controls, or cyber-physical systems can enforce. The platform doesnot replace existing security infrastructure or agentic frameworks; it plugs into them at the points they already expose.

WedgeSecure Agent runs its trust-classification stack on Intel Xeon 6 processors, using a trust-fine-tuned open-weight LLM accelerated through Wedge Networks' Standing-Wave edge AI inference optimization technology.

WedgeSecure Agent ships as a containerized stack that runs on Advantech's industrial-grade Edge AI platforms. 

Read the complete story in our press release above.