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.

  • Web AI assistants
  • Desktop AI apps
  • Coding and CLI agents
  • Microsoft 365 Copilot
  • MCP servers and tools
  • Enterprise AI platforms
Illustrative product view with sample data.
  • 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.

How enterprise AI is evolving: Yesterday, Tools people use: An employee asks, an assistant answers. The questions are which tools are in use, by whom, and with what data. Today, AI inside everyday work: Copilots and assistants are built into productivity suites, browsers, and developer tools, often invisible to traditional controls. Now arriving, Agents that act: AI agents connect to enterprise applications, MCP servers, tools, and business data, and take actions on someone’s behalf. As autonomy increases, so does the need for human 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.

Human oversight of AI. Human over the loop: Leadership sets the governance policies, risk boundaries, and accountability for the whole AI ecosystem. Human on the loop: AI operates with growing autonomy while people monitor activity and intervene when appropriate. Human in the loop: People actively take part in AI-supported decisions and workflows. QWatch provides the visibility and intelligence for each.
  • 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.

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.

How QWatch connects MCP activity to people: human identity, machine and AI client, MCP server, tool or operation, enterprise system, and outcome. Example: a software engineer’s coding agent uses the service desk MCP server to create a ticket in the ticketing system, and the ticket is created. QWatch shows who acted, through what, what was done, where, and with what result, using metadata only.
  • 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.

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.

The AI kill-switch question: why targeted governance beats blanket blocking Read the brief
Targeted response in three steps. First, which AI tools are exposed: a published vulnerability in a desktop AI assistant is matched to the versions in use. Second, who uses them and when: the affected devices, people, departments, and recent activity. Third, a proportionate response: the security team acts directly, or an approved, time-bound action is applied through supported integrations with existing security controls.

Built for every AI stakeholder

Clear answers for the leaders accountable for AI.

  • Executive leadership

    Whether AI investment is turning into adoption, where alternatives displace licensed tools, and how risk is trending, in a board-ready report.

  • 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.

  • CIO and enterprise architecture

    A continuously current inventory of AI tools, surfaces, and MCP services across the estate, without new network infrastructure.

  • 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.

  • 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.

  • Usage, never content

    QWatch collects metadata about AI use. Prompts, responses, files, and tool arguments stay on the device.

  • Observe and govern

    QWatch informs and orchestrates. Enforcement stays in the security controls you already run, and every containment is approved by a person.

  • Privacy built in

    Individual-level reporting is off until you enable it, identity reveals are audited, and AI-assisted processing can be switched off.

  • Honest numbers

    "Not observed" never reads as "not used", and every report states what it could and could not see.

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.