Customers

Resilient security for an agentic edge world.

Enterprise Security Challenges

Securing an AI-driven, Autonomous Computing Infrastructure

Agentic AI is emerging as a new computing infrastructure in all parts of the public and private sectors. One in which humans and machines supply intent, context and constraints – and software agents connect to models, knowledge, and tools to produce goal-directed outcomes in the real world.

Security teams face significant challenges:

Upgrading application, network and cyber-physical defences against conventional threats now generated at agentic speed, and in novel agentic forms such as skill files and MCP programs.
Securing agentic workflows across the new threat surfaces of prompt, context, model, content and tooling.
Maintaining clear oversight of security events from autonomous activity happening 24 x 7.
Preserving regulatory compliance for high performance agentic systems.

Wedge Networks helps organizations build, deploy, and manage agentic systems by bringing security-policy decisioning and enforcement to every step an agent takes.

The Agentic AI Innovation Journey

Toward Reliability, Security & Governance

Organizations implementing agentic AI systems are typically embarked on a four-phase innovation journey – and WedgeSecure Agent provides the essential security for every step:

Experimenting – Creating an early workflow of agents that demonstrates the business benefit to be gained through an agentic AI implementation of an operational process.
WedgeSecure Agent ships in Docker containers and runs on developer CPU-only laptops.
Building – Engineering a production-grade system of orchestration, knowledge and task agents that interacts with other systems of record and the external world in a correct, reliable and governed manner.
WedgeSecure Agent plugs into major harnesses and frameworks including Nvidia Agent Toolkit and LangChain / LangGraph.
Deploying – Positioning the agentic AI production system components within the organization’s server-to-edge infrastructure for real-time performance and sovereign decisioning.
WedgeSecure Agent’s Unified Semantic Core models range from USC-32B for sovereign-cloud servers to USC-275M for sovereign-edge microdevices, with inferencing on Intel Xeon-6 / AMX CPUs, no GPU required.
Operating – Exercising real-time oversight of all agent activities and maintaining audit-grade evidence for proper governance and regulatory compliance, once an agentic AI system is in production.
At every agentic AI trust gate in the workflow, WedgeSecure Agent provides a Decision Bundle of policy IDs, scores, matched conditions, timestamps and rationales for enforcement for export to the organizations SIEM or SOC.