Trustwise Reports Strong Enterprise Momentum as Trust Posture Management Becomes Critical for Agentic AI.
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• Where AI Runs
Every place AI runs. One control plane.
Enterprise AI shows up in many forms: vendor copilots, business-built agents, custom agent frameworks, coding agents, and customer-facing transaction agents. Each environment creates a different governance gap. Trustwise brings them under one enforceable control plane.
Enterprise Copilots
01
Discover the AI agents flowing through your AI Gateways, agentic frameworks, and model providers and classify each one against tiered risk criteria before it acts on enterprise systems.
Examples
Microsoft Copilot
• GOOGLE GEMINI WORLSPACE
• sALESFORCE AGENTFORCE
• cHATGPT ENTERPRISE
DATA ACCESS GOVERNACE
TOOL-TOOL AUTHORIZATION
USAGE AND EVIDENCE LOGGING
Business-built Agents
02
Business teams are creating agents and long-prompt workflows that connect to tools, files, SaaS apps, and enterprise systems. These agents often move faster than central governance can review.
Examples
Custom GPTs
• COPILOT STUDIO AGENTS
• GEMINI GEMS
• NO-CODE WORKFLOWS
• MCP-CONNECTED AGENTS
AGENT DISCOVERY
AGENT DISCOVERY
cATION APPROVAL
Engineering-built Agents
03
Engineering teams are building custom agentic systems with orchestration frameworks, SDKs, tools, and runtime chains. These agents can call APIs, coordinate across systems, and operate outside standard IT review paths.
Examples
LangGraph
• CREWAI
• AUTOGEN
• LLAMALNDEX
• MICROSOFT AGENT FRAMEWORK
• CUSTOM ORCHESTRATION STACKS
pOLICYY-AS-CODE
MULTI-AGENT ACOPE BINDING
TOOL-CALL INTEGRATION
Coding Agents
04
Developer agents can read code, generate changes, and interact with repositories, tools, and development workflows. Trustwise governs the access, context, prompts, outputs, and tool calls around these agents without replacing code review, SAST, or SDLC controls.
Examples
Claude Code
• GITHUB COPILOT
• CURSOR
• OPENAI CODEX
• WINDSURF
• AMAZON Q DEVELOPER
Repo and secret access scoping
Prompt and output inspection
Tool-call authorization
Commerce & Customer Agents
05 • Highest Stakes
Agents that act on behalf of customers, employees, or the business carry the highest stakes. They can book, buy, refund, underwrite, approve, settle, transfer, or trigger regulated decisions where every action needs defensible control.
Examples
Agentic commerce
• PAYMENTS AND TRANSFERS
• CLAIMS ADJUDICATION
• UNDERWRITING
• REFUNDS AND SETTLEMENT
• CUSTOMER OPERATIONS
• regulated advisory
Pre-execution authorization
POLICY RECONCILIATION
EVIDENCE CHAIN
AUTONOMY LIMITS
Shared control plane
Agent Registry
Risk Classification
Policy-as-code
Runtime Enforcement
Drift Monitoring
Audit Evidence
Underneath every lens
Whichever lens you start from,
the control plane is the same.
The AI Control Tower runs continuously across every role, use case, and industry. Three stages produce durable artifacts that feed the next.
01 / Assess
Classify before deploy
Map agent capabilities, authority, and exposure. Classify risk and blast radius before anything reaches production.
02 / Control
Enforce before execute
Develop a comprehensive policy that outlines the procedures for authorizing, blocking, escalating, or degrading actions based on solid evidence.
03 / Optimize
Improve continuously
Tighten policy coverage, reduce drift, lower cost, and expand what your agents are trusted to do next.
In production with regulated enterprise
Control every AI action before it happens.
Tell us which surfaces are in your stack. We’ll walk you through the AI Control Tower against a real workflow from your environment.