Harmonic Guide: Real-Time AI Policy Enforcement & Inline Controls | Harmonic Security

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.

FAQs

Is this just DLP with an AI sticker on it?

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.

How is this different from Zscaler, Netskope, or any other SASE tool?

SASE inspects network traffic to known AI domains. Useful, but it misses everything that does not cross the network: Claude Desktop, Cursor, local MCP servers, embedded AI inside Canva or Salesforce, free-tier accounts on personal devices. Most shadow AI exposure happens on personal devices that never touch the corporate network, which is also where SASE has no jurisdiction. We sit on the device and inside the AI surface itself. That is why we can govern where SASE can only observe, and why we cover the agent layer SASE never reaches.

What actually happens when an employee shares something they shouldn't?

Depends on what you want to happen. You can block in real time, warn the employee with context about why the action is risky, or log silently for security team review. Most customers start with warn-and-log during rollout, then move toward inline blocking for the highest-risk categories once they understand the patterns. The governance layer is yours to configure. We do not impose defaults that shut down legitimate work.

How fast is deployment?

Minutes. Roll out through Intune, JAMF, Kandji, or Group Policy. The browser extension covers all browsers and MCP gateway run on Windows, macOS, and Linux. No proxy redesign, no certificate gymnastics, no long onboarding. On day one you get a full inventory of AI tools in use across your organization. By the end of the first week, most security teams have a clearer picture of AI data exposure than they have had in years.

Does this help with the EU AI Act, GDPR, or other regulations?

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.

Build Your AI Guardrails Now

Gain the visibility and control you need to guide AI use with confidence.

As every employee adopts AI in their work, organizations need control and visibility. Harmonic Security delivers AI Governance and Control (AIGC), the intelligent control layer that secures and enables the AI-First workforce. By understanding user intent and data context in real time, Harmonic gives security leaders all they need to help their companies innovate at pace.