Harmonic Command

Harmonic Command covers workforce AI use across supported browsers, desktop applications, command-line tools, AI APIs, and agentic workflows that use MCP. It provides discovery and monitoring across these surfaces, with inline guardrails where the application and deployment method support them. Coverage includes ChatGPT, Claude, Copilot, Gemini, Cursor, and more than 1,000 web AI tools.

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Large enterprises should evaluate Harmonic Command when they already permit workforce AI, or are moving from blocking to governed enablement, and need controls for agentic workflows. Command includes browser and endpoint governance, plus discovery and control for supported MCP clients, servers, tools, and agent actions. Coverage varies by surface and integration, so buyers should confirm whether each use case supports application discovery, prompt-level visibility, or enforcement.

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Yes. Harmonic can be deployed through a browser extension and Endpoint Agent using Intune, Jamf, Kandji, or Group Policy, without routing employee traffic through a network proxy or changing certificates. Supported OpenTelemetry sources and the local MCP Gateway extend coverage to additional native, command-line, and MCP activity. Coverage varies by surface, so buyers should confirm whether each use case supports application discovery, prompt-level visibility, or enforcement.

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No. Pattern-matching DLP cannot tell a draft email from a deal memo because prompts are unstructured and contextual. Static rules either flood teams with false positives or get ripped out entirely. We classify the meaning of the work, not the shape of the string. That is what lets us govern inline, where DLP can only monitor.

Harmonic complements SASE tools by covering AI activity that network inspection alone cannot consistently see, including desktop applications, command-line tools, IDEs, AI APIs, and agentic workflows that use MCP. It discovers how employees and agents use AI, classifies the data and business context involved, and applies inline controls where the surface supports them. SASE remains useful for network enforcement, while Harmonic provides AI-specific visibility and policy controls across application, endpoint, and agent activity.

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Purview gives you visibility inside only Microsoft tools and only works as a traditional keyword based DLP solution. Real AI usage is not Microsoft-only. We see the full stack across vendors, including the long tail and the agentic surfaces, and we provide context aware guardrails for employees and their agents.

Blocking unapproved AI tools can reduce immediate risk, but it does not control what employees and agents do inside approved tools. Employees may also move work to personal accounts when they lack a suitable alternative. Harmonic lets security teams apply granular controls to approved AI tools and agent actions, including how sensitive data can be shared and which connected systems an agent can access.

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An AI usage control platform should support silent logging, contextual warnings, employee coaching, and real-time blocking. Security teams should be able to choose the response based on the tool, account, data, user, and action involved. Many organizations start with warn-and-log during rollout, then add blocking for high-confidence events involving sensitive data or risky accounts. The platform should also make clear which surfaces support monitoring and which support inline enforcement.

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This is the problem most security platforms cannot see yet. When an agent reads a file, calls an API, writes to a database, and emails a summary, all without a human in the loop, there is no browser request to inspect and no prompt to classify at the keyboard. We govern at the MCP layer and at the tool surface, which is where agentic workflows execute. Policy follows the action, not the person.

HR, Finance, Ops, and Founders are excluded from reporting by design. Employee names can be masked in the portal. The dataset is sanitized and frozen. EU hosting is available on request. The design principle is that security teams need risk visibility, not a feed of individual employee behavior. We made the hard restraint choices in the product so you do not have to defend them in every internal review.

Harmonic can be deployed through Intune, Jamf, Kandji, or Group Policy. The browser extension covers supported browsers, while the MCP Gateway runs on Windows, macOS, and Linux. Organizations begin seeing AI application activity after rollout, with coverage expanding as more endpoints and integrations come online.

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Harmonic covers ChatGPT and Codex across supported web, desktop, and command-line environments. It provides discovery and monitoring across those surfaces, with inline guardrails where the application and deployment method support them. Harmonic also monitors calls to OpenAI APIs from scripts and other applications.

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Yes, though compliance is a byproduct of good governance, not the other way around. The EU AI Act requires organizations to manage high-risk AI use and maintain logs of consequential AI-assisted decisions. GDPR creates exposure whenever personal data enters AI tools hosted outside the EEA. Our data classification and logging give you the audit trail, the data residency controls, and the ability to demonstrate that AI use in your organization operates within defined boundaries. Documentation mapping our controls to specific regulatory requirements is available on request.