WedgeSecure Agent

Capabilities – Agentic AI is a new dimension of digital transformation: we now solve problems with AI-driven autonomous processes that interpret intent, retrieve context, select a reasoning engine, plan across steps, and take actions that change real systems.

Traditional security foundations remain essential, but autonomy introduces a critical new requirement: governing decisions and state-changing actions across a closed-loop workflow.

Because agentic workflows are iterative and stateful, trust must be enforced continuously. A compromised instruction, poisoned retrieval, or unsafe tool call does not remain localized; it propagates forward through planning and execution, and then feeds back into the next cycle as a new world state. Autonomous agents constitute a distinct security and governance problem, with emphasis on tool-use risk, policy enforcement, and evidence generation.

WedgeSecure Agent implements the policy decision layer for the four trust boundaries of Intent, Context, Model, and Authority as a collection of agentic AI security function microservices. 

Each WedgeSecure Agent API call from an agentic AI application returns a Decision Bundle described in PDP Output Schema, with three parts: (1) decision (allow, deny, restrict, step-up), (2) constraints (what is allowed and under what limits: scope, targets, parameters, budgets), and (3) evidence bundle (policy IDs, scores, matched conditions, timestamps, model/tool identifiers, and rationale). 

Applications and enforcement points consume the decision and constraints, while the evidence bundle feeds audit, monitoring, and compliance reporting.

WedgeSecure Agent does not assume there is one universal interception point in an agentic application. Instead, it produces decisions and evidence that can be enforced in multiple locations, depending on how the agentic AI application is built and deployed.

If you are building or deploying agentic AI applications, and security, compliance, or audit-readiness is a requirement, the white paper below will be of interest to you. We invite like-minded partners to collaborate with Wedge Networks through pilots and joint evaluations to help define and operationalize trustworthy agentic AI systems for the coming era.

The WedgeSecure Agent Deployment Package includes:

• Network Security Platform (NSP) for foundational deep content inspection and deterministic network controls. NSP can operate as a PEP (inline enforcement) or as a PDP signal source in detect-only mode, emitting risk scores and evidence to drive policy decisions elsewhere

• Prompt Injection Classifier (PIC) for instruction integrity preventing direct and indirect prompt injection

• Content Safety Classifier (CSC) for content safety and regulated-data compliance classification across the closed-loop workflow

• Model Reputation Database (MRDB) for model trust and routing governance (model is the “reasoning authority”)

• Authentication & Authorization Layer (AAL) for authentication, authorization, delegated authority, and provenance for actions

• PDP layer can be placed where it provides the most value (cloud, edge, or hybrid), while preserving continuous trust enforcement and audit-grade evidence generation across the agentic AI workflow