Control What Data Reaches AI. Keep Productive Tools.

Acium enforces data-sharing policies before sensitive content reaches unauthorized models or accounts, so your team can adopt ChatGPT, Copilot, and other AI tools safely.

  • Discover approved and unapproved AI usage, including Shadow AI.
  • Enforce real-time data-sharing controls before sensitive content reaches unauthorized models or accounts.
  • Apply policies by user, group, or application from one console, deployed in minutes.

What to Watch For When Employees Use AI Tools

When employees use AI tools, business information can move into models and accounts the organization does not manage. Some of that usage is approved. Some is Shadow AI: personal accounts, AI sidebars, and unmanaged tools adopted without central visibility. With the right visibility and data-sharing controls, these become governance questions teams can answer with confidence.

Proprietary Data Visibility

Source code, financial models, and internal strategies can be shared into third-party AI tools. Acium helps teams see where that data is going and apply controls before sensitive content reaches unauthorized models or accounts.

Compliance and Privacy Controls

Pasting customer or employee data (PII) into AI tools can run up against GDPR, CCPA, and other privacy requirements. Acium supports masking and policy controls to keep regulated data in bounds.

Shadow AI Visibility

Not every AI tool is adopted through IT. Acium surfaces approved and unapproved AI usage, including Shadow AI, so teams can decide what to approve, restrict, or monitor across the organization.

Why Banning AI Tools Rarely Works

An outright ban on AI tools is hard to enforce. Employees tend to find workarounds on personal devices and unmanaged accounts, which grows Shadow AI instead of reducing it. That leaves teams with less visibility and control, while the organization misses out on the benefits of AI. The more practical path is safe AI adoption: make AI usage visible, enforce data-sharing policies, and let teams keep using the tools that make them productive.

How Acium Supports Safe AI Adoption

Acium combines a management console, browser extension, and optional sensor to give teams visibility and control at the last-mile AI interaction layer, where people, browsers, SaaS tools, and business data meet AI systems. The organization can apply policy and mask or block sensitive data before it reaches unauthorized models or accounts.

Discover AI Usage, Including Shadow AI

Understand which AI tools your team is using, not just the sanctioned ones. The Acium management console surfaces approved and unapproved usage and shows what data is being uploaded, downloaded, copied, or pasted into AI tools, so teams can decide what to approve, restrict, or monitor.

Enforce Data-Sharing Policies in Real Time

  • Block file uploads containing sensitive data.
  • Reduce pasting of proprietary source code into prompts.
  • Automatically mask or redact PII in user prompts.
  • Govern copy/paste actions from sensitive internal web apps.

Deploy Without Disrupting Work

Acium deploys through a lightweight browser extension on the browsers your team already uses, including Chrome and Edge. No forced browser migration and no network redesign. Deployment takes minutes and runs quietly in the background, so users keep their workflows and stay productive.

Make AI Adoption Visible, Governed, and Accountable

Join forward-thinking teams adopting AI safely with Acium.

Frequently Asked Questions

When employees use AI tools like ChatGPT, Claude, or Copilot, they may paste or upload business information including source code, financial data, customer records, legal documents, and internal strategies. That activity happens at the last-mile AI interaction layer, the point where people, browsers, SaaS tools, and business data interact with AI systems, where traditional network-level tools have limited visibility. The result is an AI governance gap: security and IT teams often cannot see which AI tools are in use, which usage is Shadow AI, or what data is being shared.
Acium enforces data-sharing policies at the point of use, before sensitive content reaches unauthorized models or accounts. It can block file uploads containing sensitive data, reduce proprietary source code being pasted into prompts, automatically mask or redact PII, and apply granular policies by user, group, or application, all without blocking productive AI use or disrupting the employee's workflow.
Acium helps discover approved and unapproved AI usage, including ChatGPT, Google Gemini, Claude, Microsoft Copilot, AI browser sidebars, AI coding assistants, and embedded SaaS AI. That includes Shadow AI: personal accounts and unmanaged tools employees adopt on their own. Policies can be tailored per tool, per user group, and per data classification level so teams can decide what to approve, restrict, or monitor.

Ready to Adopt AI Safely?

You do not have to choose between AI adoption and control. Schedule a personalized demo to see how Acium helps you discover AI usage, surface Shadow AI, and enforce data-sharing policies without slowing your team down.

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