QWatch · Enterprise AI visibility and governance
AI is becoming autonomous.Governance must stay human.
QWatch gives your organization the visibility and intelligence to keep people in charge of AI: which tools and agents are in use, what they connect to, who is accountable, and where risk is emerging.
Existing customer? QWatch Login- Web AI assistants
- Desktop AI apps
- Coding and CLI agents
- Microsoft 365 Copilot
- MCP servers and tools
- Enterprise AI platforms
- 448+ Curated AI Tool Catalog AI applications and services identified, classified, and continuously evaluated.
- 28 AI Security Detectors Specialized intelligence to identify emerging threats, exposures, and AI‑related risks.
- 9 Integrated AI Capabilities Discovery, intelligence, governance, and security working together in one platform.
- 360° Enterprise AI Visibility Across users, AI applications, agents, and connected enterprise systems.
The shift
From tools people use to agents that act.
Enterprise AI began as assistants employees asked for help. It is becoming agents that connect to business applications, MCP servers, tools, and data, and take action on someone’s behalf. Autonomy is rising faster than oversight.
Human oversight
Keep people in, on, and over the loop.
Three ways people stay accountable for AI. Each depends on knowing what AI is doing, and that is what QWatch provides.
- IN
Human in the loop
People actively take part in AI-supported decisions and workflows.
Employees working with assistants, copilots, and coding tools.
QWatch shows which AI tools people use, under which accounts, and whether they are the tools your organization approved.
- ON
Human on the loop
AI operates with growing autonomy while people monitor activity and intervene when appropriate.
Agents calling tools through MCP servers, or AI running with no one at the keyboard.
QWatch shows what agents connect to and what they did, matches new threats to your environment, and surfaces the activity that needs a person.
- OVER
Human over the loop
Leadership sets the governance policies, risk boundaries, and accountability for the whole AI ecosystem.
Classification decisions, usage policies, and board oversight.
QWatch turns those decisions into policies checked against observed activity, and reports adoption, risk, and governance with evidence.
The questions that matter
Six questions every AI leader must be able to answer.
Most organizations cannot yet answer them with evidence. QWatch can.
- 01 Which AI tools are actually being used? Discovery across web assistants, desktop apps, coding agents, and Microsoft 365, including tools nobody approved.
- 02 Who is using them, and in which parts of the business? Attribution to identities and departments through your own directory, with uncertain activity shown rather than guessed.
- 03 Is the AI we pay for being adopted? Licensed tools compared with the alternatives people actually choose, by department and function.
- 04 What are our AI agents connected to, and what did they do? The MCP services your AI clients use, where they run, and, for supported clients, the tools agents called.
- 05 Does a newly published threat affect us, and who is exposed? Threat intelligence matched to the AI tools and versions you run, and to the people using them.
- 06 Can we show the board and auditors that AI is governed? Board Reports and an audit trail that state plainly what they could and could not see.
Agentic AI and MCP
AI agents are joining your workforce. Keep them accountable.
Coding agents and AI assistants now reach code, tickets, knowledge, and records through the Model Context Protocol. QWatch shows what they are connected to, what they did, and on whose behalf.
- Accountability for agentic AI Who, through which agent, reached which enterprise system, and what happened.
- Governed MCP connections Which MCP servers are in use, where they run, and whether each is reviewed and owned.
- Exposure awareness Which external MCP providers your organization’s agents can reach.
The QWatch Capability Map
Everything QWatch does, at a glance.
Nine capability areas, one purpose: give people the visibility and intelligence to make better decisions about AI.
See
Know what AI is in use, how it is adopted, and what agents connect to.
- AI Discovery and Visibility Every AI tool in use, on every surface, including the ones nobody approved.
- AI Usage Intelligence How adoption is evolving by team and function, and whether licensed tools land.
- Agentic AI and MCP Visibility What AI agents connect to through MCP, and what they did, on whose behalf.
Understand
Know what each tool is, who is accountable, and when risk applies to you.
- AI Catalog Intelligence What each AI tool is, who makes it, where it runs, and how to treat it.
- Identity and Organizational Intelligence Who is using AI, in which teams, attributed with confidence.
- AI Security and Threat Intelligence AI-specific findings, and new threats matched to the tools and versions you run.
Govern
Set policy, show evidence, and act through the controls you already run.
- Governance and Risk Management Policies checked against observed activity, with plain-language alerts.
- Executive Reporting and Governance Evidence Board-ready reports and an audit trail that show oversight is working.
- Enterprise Integration and Response Findings where your teams work, and targeted responses through your existing controls.
Threat intelligence and targeted response
Targeted governance, not blanket blocking.
When a threat appears, switching AI off punishes everyone. QWatch shows which AI tools are exposed, who uses them, and when relevant activity occurred, so your people can choose a proportionate response and act through the controls you already run.
Built for every AI stakeholder
Clear answers for the leaders accountable for AI.
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Executive leadership
Whether AI investment is turning into adoption, where alternatives displace licensed tools, and how risk is trending, in a board-ready report.
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CISO and security operations
AI-specific detection, threat intelligence matched to the versions in use, visibility into agents and their MCP connections, delivered to your SOC.
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CIO and enterprise architecture
A continuously current inventory of AI tools, surfaces, and MCP services across the estate, without new network infrastructure.
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Risk, compliance, and privacy
Documented AI decisions, policy accountability, and an audit trail that supports evidence for frameworks such as the EU AI Act and NIST AI RMF.
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Chief AI officer
One view of human-directed and agentic AI that answers both program questions: are we using AI safely, and effectively?
Designed for enterprise trust
Visibility that respects your people and your data.
QWatch gives leaders evidence without turning AI governance into surveillance.
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Usage, never content
QWatch collects metadata about AI use. Prompts, responses, files, and tool arguments stay on the device.
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Observe and govern
QWatch informs and orchestrates. Enforcement stays in the security controls you already run, and every containment is approved by a person.
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Privacy built in
Individual-level reporting is off until you enable it, identity reveals are audited, and AI-assisted processing can be switched off.
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Honest numbers
"Not observed" never reads as "not used", and every report states what it could and could not see.
Insights
Thinking on governing autonomous AI.
Executive briefs and articles on agentic AI, targeted response, and governance evidence.
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The AI kill-switch question: why targeted governance beats blanket blocking
Organizations rightly ask whether they can stop AI when they need to. The better answer is not an off switch, but intelligence that supports targeted, risk-based decisions made by people.
6 min read -
Why AI governance must produce evidence
Policies describe intent. Evidence shows what happened. The difference decides whether an AI governance program survives its first audit.
6 min read -
Seven questions to ask before deploying AI visibility tooling
A short checklist for CISOs and AI governance leaders evaluating how to see and attribute enterprise AI activity.
5 min read
Other QAISG platforms
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QWatch is our flagship. Our wider portfolio applies the same evidence-first approach to compliance, software assurance, quantum readiness, and startup operations.
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- QCode AI software assurance Brings visibility and evidence to AI-assisted software development, so engineering leaders understand how AI shapes the code they ship.
- QERA Quantum ecosystem reference architecture A structured reference architecture that helps organizations plan for the quantum ecosystem and post-quantum readiness.
- QScale Startup financial intelligence Brings evidence-based planning, runway, and operating discipline to early-stage companies, including those building on AI.
Keep people in charge of AI.
See how QWatch gives your leaders, security teams, and governance owners the visibility to make better decisions about AI adoption, risk, and response.
QWatch provides the visibility and intelligence for every level