Harmonic Guide
Understand how your workforce uses AI and coach employees at the point of interaction, across the browser and the endpoint.
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Overview
Harmonic Guide gives security teams complete visibility into how employees use AI, plus the controls to ensure it’s used safely. Inline interventions detect sensitive data the moment an employee tries to share it with an AI tool, then coach the user toward a safer path in milliseconds.
AI now lives everywhere employees work, from browser-based chatbots to desktop apps like Claude CoWork, Cursor, and ChatGPT Desktop. Guide governs all of it from one platform.

See How AI Actually Gets Used Across Your Business
You can't govern what you don't understand. Harmonic Usage Intelligence classifies every interaction into the business use cases driving adoption, turning raw activity into the insight security and AI leaders need to make real decisions.
You see which tools are delivering real productivity gains, which use cases are quietly creating exposure, and where employees are flocking to unapproved tools because sanctioned options aren't meeting their needs.
Every application carries a risk score built from the factors security teams actually weigh, including whether the vendor trains on your data.
Detect Sensitive Data and Coach Employees in Real Time
Traditional DLP looks for patterns. It can spot a string that resembles a credit card number, but it can't tell that an employee just pasted a customer record into an unsanctioned chatbot.
Our small language models read the full interaction and make context-aware judgments in under 200 milliseconds. When risk is identified, Guide intercepts the prompt and shows the employee exactly what was flagged and why.
Configure how users are coached based on data type, application, and role. Intervention text, colors, and branding are fully customizable.

Helpful Resources
Customer Story
Dark Reading: Advisor360 Gets a Handle on Shadow AI via Automation with Harmonic Security.
FAQs
Quick answers about Harmonic Security
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.
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.
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.
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.
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.
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.
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