Managed AI Governance

Agentic AI can read, write, and move files, connect to your systems, and act without you watching. Aavex Technology’s Managed AI Governance service turns Claude Enterprise into a controlled, audited, defensible program — not a self-service platform.

Agentic AI is not a chatbot

Claude Cowork is Anthropic’s agentic AI desktop tool. Unlike a chatbot that responds to questions, an agentic AI can take actions — reading and writing files, connecting to external systems, executing workflows, and operating autonomously on a user’s behalf. That capability is why it saves time, and why it introduces risk categories traditional IT controls were not built to address.

 

An agentic AI can

  • Read, write, move, and delete files on connected systems
  • Connect to external services (GitHub, Slack, email, databases, cloud storage, ERP systems) via the Model Context Protocol (MCP)
  • Execute multi-step workflows without continuous user interaction
  • Install and run third-party tools and plugins
  • Control desktop applications through Computer Use
  • Operate in background tasks that complete after a user steps away

Why governance is different here

  • A compromised chatbot gives bad answers. A compromised agentic AI can take actions — silently, without user awareness — across every connected system.
  • The risk is not information leakage alone. It is active exfiltration, system manipulation, and lateral movement through company infrastructure.
  • Prompt injection can cause an agent to access and modify systems maliciously with no user interaction. This is an architectural characteristic of agentic systems, not a configuration bug — and it must be managed through governance.

Specific to engineering & manufacturing organizations

Drawn from public CVE disclosures, independent security research, and architectural analyses published between 2025 and 2026. Each risk is described in terms of its relevance to organizations handling proprietary designs, BOMs, and supplier data.

Risk 1: Remote Code Execution via MCP Configuration Files

Malicious config files (.mcp.json, .claude/settings.json) embedded in a shared repository execute shell commands the moment an engineer opens the project — before the “Do you trust this directory?” dialog appears. Shared repositories are standard in engineering teams, so a single compromised account can silently compromise every engineer who opens the project.

Risk 2: File Exfiltration via Prompt Injection

A hidden prompt injection — embedded in a document, a shared Skills file, a web page, or a connected MCP server — does not need to be visible to the user. When Cowork processes the file, it follows the hidden instructions and sends sensitive documents to an attacker’s account. The “click Yes to approve” model doesn’t work in practice because users don’t read every prompt.

Risk 3: MCP Supply Chain Attacks (“Rug Pulls” & Tool Poisoning)

A benign MCP tool gains trust, then a later update harvests environment variables, API keys, and session data. Tool poisoning embeds malicious instructions in a tool’s description — invisible to users, fully readable by the AI. A 2025 study of 1,899 open-source MCP servers found 5.5% exhibited tool poisoning vulnerabilities.

Risk 4: API Credential Theft

Overriding the API base URL redirected credential traffic and harvested API keys — triggered simply by opening a malicious repository. Without audit logs (Enterprise-only), there is no way to detect unauthorized key usage or reconstruct what was accessed after the fact.

Risk 5: Zero Audit Trail & No Incident Response Capability

No admin console, no managed settings, no Compliance API on Pro/Max. No log of uploaded files, connected services, or agent actions, and no way to automatically revoke a terminated employee’s access. In a breach, the company cannot satisfy a regulatory inquiry or demonstrate due diligence to cyber insurers.

Risk 6: Computer Use Expands the Attack Surface

Computer Use lets the AI interact with any visible desktop application — password managers, VPN clients, SSH terminals, ERP tools. A prompt injection from any connected source can pivot to desktop applications with no direct connection to Claude at all. There is no organization-wide toggle to disable it on Pro/Max.

Pro / Max vs. Claude Enterprise

Claude Pro and Max are individual consumer accounts: no administrative controls, no provisioning, no policy settings, no data protection agreements. If engineers are using Pro subscriptions for work involving drawings, BOMs, or supplier data, the organization has zero governance surface — equivalent to issuing every engineer an unmanaged personal laptop to handle proprietary IP.

CAPABILITY PRO / MAX ENTERPRISE
Admin console & managed settings No — zero organizational controls Yes
MCP server / plugin allowlist enforcement No — any plugin can be installed Yes
SSO / SCIM automated offboarding No — manual only Yes
Audit logs / Compliance API No — no forensic capability Yes
Skills / plugin governance No Yes
Data retention controls No — consumer terms apply Yes
Computer Use admin disable toggle No — per-user setting only Yes
Incident response evidence No Yes
Data protection agreement No Yes
IP allowlisting No Yes

Enterprise is a platform, not a program. Deploying it without a governance framework, scoped access model, and human validation checkpoints is like installing a fire suppression system and never testing it. A managed implementation turns Enterprise’s capabilities into an operational program:

AREA ENTERPRISE (UNMANAGED) ENTERPRISE + MANAGED ADMINISTRATION
Data scoping Available but not configured — users connect whatever they want Folder and connector scope defined per role; sensitive sources excluded
Plugin/MCP governance Allowlist capability exists but requires active management Allowlist defined, reviewed, and enforced; updates require re-approval
Policy No AUP or workflow standards by default Acceptable Use Policy, prompt standards, and workflow templates in place
Output validation No checkpoints — AI output goes directly into use Human review required before safety, procurement, or compliance use
Access reviews Audit logs exist but are not reviewed Monthly spot checks and quarterly deep reviews conducted
Offboarding SSO/SCIM available but must be configured Configured, tested, and integrated with HR workflow
Vendor changes No monitoring — policy can become stale Periodic review of platform changes, updated controls, and re-training
Shadow AI No discovery or reduction program Unmanaged usage identified and moved to governed workflows

Managed AI Governance

Aavex Technology’s Managed AI Governance service provides centralized oversight, administration, and security controls for AI platforms deployed within your organization — delivered today through the native administrative interface of the contracted AI vendor. The initial implementation supports Anthropic Claude Cowork; support for Microsoft Copilot, OpenAI ChatGPT Enterprise, and Google Gemini is available under a separate Statement of Work. As Aavex’s unified AI management platform (Cowork Manager) becomes available, all clients will be migrated at no additional cost and no new SOW.

§ 01

User Lifecycle Management

Aavex provisions and deprovisions AI platform users on agreed timelines, reducing the risk of orphaned accounts and unauthorized access.

§ 02

Policy Management

Organizational AI usage policies configured and enforced at the platform level — acceptable use, data handling restrictions, and operational boundaries.

§ 03

MCP Connector Governance

Aavex maintains an approved connector list per client and enforces allow/blocklist controls to prevent unapproved integrations.

§ 04

Incident Management

Provisioning failures, policy violations, and anomalous activity are logged, classified by severity, and managed to resolution. Critical incidents trigger immediate notification.

§ 05

Audit Log Monitoring

Aavex reviews vendor-provided audit logs to identify policy deviations and unauthorized access attempts.

§ 06

Billing Visibility

Periodic reporting on seat counts, usage consumption, and billing status based on the vendor’s administrative interface.

Pre-requisites for service delivery

Claude Pro and Max are individual consumer accounts: no administrative controls, no provisioning, no policy settings, no data protection agreements. If engineers are using Pro subscriptions for work involving drawings, BOMs, or supplier data, the organization has zero governance surface — equivalent to issuing every engineer an unmanaged personal laptop to handle proprietary IP.

Client selection and licensing

Client selects and licenses the AI vendor platform(s) to be governed; Aavex advises on licensing and procurement. Seat counts and contract terms must be established before activation.

Access and credentials

Client authorizes Aavex to act as administrative manager for the AI platform account. Credentials are established during onboarding and maintained securely throughout the term.

Configuration disclaimer

Service effectiveness depends on correct configuration of policies, connector allow/blocklists, and user assignments. Client-directed changes made outside Aavex-managed controls may affect the protection level provided.

Ready to close the governance gap?

Aavex Technology will assess your current Claude Cowork usage, build your data classification baseline, and stand up a managed Enterprise governance program — allowlists, audit review, offboarding, and reporting included.