About Gen-AI Monitoring
Gen-AI Monitoring is Keep Aware's browser security use case for organizations that need visibility and control around employee use of generative AI tools. Because many AI applications are accessed entirely through the browser, security teams can lose sight of which services employees use, whether they are signed into personal or corporate accounts, and what information is being entered into prompts. Keep Aware positions this offering around bringing that activity into browser security policy without requiring employees to move to a different browser.
What Gen-AI Monitoring is designed to show
Keep Aware describes visibility into which AI applications are used across the workforce and how employees interact with them. The platform is intended to help teams identify approved and unapproved AI usage, understand account context and see where sensitive information may be shared. For buyers, the key question is whether the product gives enough browser context to distinguish ordinary AI use from activity that creates data or compliance risk.
How browser-level AI governance works
The company treats generative AI as a browser workflow rather than a separate network category. Policies can therefore be applied closer to the point where a user enters information into an AI service. This approach can help security teams monitor or restrict specific actions while allowing approved AI use to continue. Organizations should verify the available policy conditions, supported AI services and whether controls can vary by user, group, account type or application.
Data protection considerations
AI governance often overlaps with data loss prevention because prompts can contain customer information, internal documents, source code or other sensitive content. Keep Aware's wider platform includes browser data controls, which can be relevant when organizations want AI monitoring and data policy in the same browser layer. Buyers should test how sensitive information is identified, what happens when policy is triggered and whether employees receive enough context to correct risky behavior.
What to test during evaluation
A proof of concept should include approved enterprise AI tools, personal AI accounts and common employee workflows such as drafting, summarizing, coding and document analysis. Security teams should examine discovery accuracy, account visibility, policy actions, event logging and the quality of reports. They should also check how AI activity is exported to SIEM or governance systems and whether the browser extension introduces noticeable friction in normal work.
Where Gen-AI Monitoring fits in the Keep Aware platform
Gen-AI Monitoring sits alongside Browser DLP, Secure Browsing, Browser Extension Protection, Browser Detection and Response and ChromeOS Security. The shared platform is useful when an organization wants AI activity to be evaluated with the same browser context used for data movement, extension risk and security investigations. It does not remove the need for broader AI governance policies, model risk review or vendor due diligence.
Who should choose something else
Organizations that have prohibited public generative AI entirely and already enforce that decision through other reliable controls may not need a dedicated monitoring layer. Teams looking for model evaluation, AI application development controls or governance of back-end machine learning systems need different tools. Gen-AI Monitoring is most relevant when employees actively use browser-based AI services and the organization wants visibility, policy and data protection around that real-world usage.
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