AI visibility, intelligence, and governance
QWatch discovers the AI tools, assistants, and agents your workforce uses, connects that activity to the people and teams accountable for it, and turns it into the intelligence leaders need to govern adoption, risk, and response.
Existing customer? QWatch LoginPlatform overview
A short tour of QWatch, from discovering AI use across the organization to visibility into AI agents and their MCP connections, and the intelligence leaders use to govern it.
The QWatch Capability Map
Give the people accountable for AI the visibility and intelligence to make better decisions about adoption, risk, and response.
Know what AI is in use, how it is adopted, and what agents connect to.
Know what each tool is, who is accountable, and when risk applies to you.
Set policy, show evidence, and act through the controls you already run.
AI is becoming autonomous. Governance must stay human.
Human in, on, and over the loop are not features. They are how responsible organizations stay accountable for AI. QWatch supplies the facts each one depends on.
Wherever AI is used
QWatch deploys through the tools IT already uses and collects metadata about AI use, never the content.
Web AI assistants and services, and whether each session used a corporate, personal, or another organization’s account.
Desktop AI applications, coding assistants, command-line agents, local models, and the MCP servers they connect to.
Copilot in Word, Excel, PowerPoint, Outlook, and Teams, measured per person.
Connectors for other enterprise AI platforms, such as Google Gemini, bring their use into the same view.
AI Discovery and Visibility
QWatch discovers the AI your workforce actually uses: in the browser, on the desktop, in the developer’s terminal, and inside Microsoft 365. New AI services are surfaced the first time they appear.
AI Usage Intelligence
Who is using which AI tools, how often, in which departments and business functions, and whether the tools you pay for are adopted or displaced by alternatives.
The agentic AI ecosystem
AI agents now reach enterprise systems through MCP servers. QWatch follows every relationship, from the human identity to the outcome, so each action stays accountable to a person.
Agentic AI and MCP Visibility
QWatch discovers which MCP servers your AI clients use, which ones they start, and where each server runs. For supported clients it shows the tools and operations agents call, the enterprise systems they reach, and the outcome of each call.
AI Catalog Intelligence
A curated, growing catalog of 448 AI tools and surfaces, with vendor, country of origin, hosting, and data-handling posture, and an independent QWatch Assessment for each.
Governance and Risk Management
Define AI usage policies once. QWatch checks observed activity against them across web, desktop, and Microsoft 365 use, and records every violation at the severity you set.
AI Security and Threat Intelligence
Twenty-eight AI-specific detectors explain every finding with its evidence. The AI Threat Landscape matches new vulnerabilities, malicious releases, and provider incidents to the AI tools and versions you actually run.
Targeted response
Blocking every AI tool when a threat appears stalls the business. QWatch shows which tools are exposed, who uses them, and when, so your people can choose a proportionate response.
Governed containment
Your security team can act directly, or QWatch can propose a time-bound, scoped response that your people approve, your existing controls apply, and QWatch verifies.
Identity and Organizational Intelligence
AI activity is attributed to people and departments through your own directory, using the strongest available signal. What cannot be attributed with confidence is shown, never guessed.
Executive Reporting and Governance Evidence
Board Reports in PDF and PowerPoint summarize adoption, risk, governance, threat exposure, and trends for the period, and state what they could and could not see.
Enterprise Integration and Response
QWatch adds AI context to your identity, security, and IT operations tools, delivers findings where your teams already work, and supports targeted response through the security controls you operate.
QWatch in practice
A new AI writing service appears in Marketing. QWatch identifies it, shows its vendor and hosting, and reveals most use is on personal accounts. The team classifies it, and the policy records every future use.
A high-severity issue is published. QWatch shows which devices run an affected version and who uses them, names the fixed version, and confirms when the fleet is resolved.
Security asks which external MCP services coding agents can reach. QWatch maps the services by placement, shows which were started, and, where collected, which tools were called and by whom.
Months after licensing an enterprise assistant, leadership sees adoption by department, where an unapproved alternative is preferred, and where enablement should focus.
The governance lifecycle
Designed for enterprise trust
QWatch collects metadata about AI use. Prompts, responses, files, and tool arguments stay on the device.
QWatch informs and orchestrates. Enforcement stays in the security controls you already run, and every containment is approved by a person.
Individual-level reporting is off until you enable it, identity reveals are audited, and AI-assisted processing can be switched off.
"Not observed" never reads as "not used", and every report states what it could and could not see.
A live walkthrough shows how QWatch discovers AI use, maps agents and their MCP connections, and turns activity into governance evidence your leadership can act on.
QWatch Platform Overview