From Deployment to Governance in Days, Not Quarters
Enterprise security tools are notorious for lengthy implementations and professional services dependencies. Tracelet is designed for the opposite. Whether you’re rolling out to engineering teams via endpoint agents or to business teams via browser extensions, deployment is measured in days and value is visible immediately.
Time to first value for initial pilot
Time to first value for a single department
The Progressive Governance Model
Tracelet supports a maturity-led rollout. Start with observation, mature into stronger controls — without forcing a binary “block everything from day one” decision.
Discover
Find every AI tool, agent, MCP server, and browser-based AI assistant in use.
Monitor
Observe events and surface patterns without changing user behaviour.
Warn
Notify users in real time when an action would violate policy.
Enforce
Block, redact, or escalate violating activity.
Optimise
Distribute approved skills and quality controls; reduce token waste.
Evidence
Turn governance activity into auditor-ready reports.
“Visibility alone is not enough. The next step is control — not control in the sense of slowing AI down, but control in the sense of equipping AI to do its job better.”
— Faros, 2026
Engineering Rollout
Deploy to engineering teams via your existing endpoint management infrastructure. The agent captures AI coding assistant activity, MCP calls, shell commands, and file access from the moment it’s deployed.
Deploy the Endpoint Agent
The Tracelet agent is distributed via your existing endpoint management infrastructure — Microsoft Intune, Jamf, SCCM, or a custom deployment pipeline. No manual installation. No proxy reconfiguration. The agent operates at the application layer and registers automatically with your tenant.
View supported endpoint platformsConnect to the Policy Engine
Your directory (Active Directory or Entra ID) syncs automatically, mapping users to teams, departments, and roles. Activate one or more pre-built compliance bundles, or import existing AI usage standards.
Activate Engineering Monitoring
The agent immediately captures AI coding assistant activity: prompts, AI responses, shell commands, file reads and writes, MCP tool calls and arguments, plugin and skill usage, and configuration changes.
Enforce, Refine, Report
Move from observe to active enforcement on your timeline. Block secret exposure, redact sensitive content before transmission, alert developers in real time with contextual guidance, and generate compliance reports for ongoing audit cycles.
Business Team Rollout
Deploy to HR, finance, legal, sales, and operations via browser extension distribution. No user action required — governance is active from day one.
Distribute the Browser Extension
The Tracelet browser extension is distributed via your browser management policy (Chrome Enterprise, Edge for Business, managed Firefox) or via standard endpoint management tooling. The extension activates on managed browsers without requiring user installation.
Configure Department Policies
Map departments (HR, finance, legal, sales, marketing, operations) to data categories and AI tool allowlists. Pre-built policy bundles cover the common patterns — sensitive HR data, financial forecasts, contract confidentiality, customer data, and brand voice.
Activate Business AI Monitoring
The extension immediately detects browser AI usage in ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, and other browser-based AI tools. It classifies content, distinguishes business from personal usage, and captures audit metadata without unnecessary full-prompt exposure.
Warn, Block, Evidence
Warn users at the point of submission when content matches a sensitive category. Block submissions to unapproved tools. Produce department-level governance reports for compliance teams.
Every AI interaction is evaluated against policy before it completes. Every evaluation is recorded. No gaps at the endpoint or the browser
Shadow AI Discovery Flow
Tracelet continuously scans across endpoints and browsers to surface AI tools, agents, MCP servers, skills, and plugins that haven’t been formally reviewed.
Continuous Scan
Tracelet continuously scans across endpoints and browsers to surface AI tools, agents, MCP servers, skills, and plugins.
Risk Assessment
Every discovered asset is risk-assessed and attributed to a team or user.
Governance Workflow
Each asset enters a structured governance workflow. Security teams can review, approve, or block.
Audit Record
Every decision is recorded as audit evidence — building a live, continuously updated AI asset inventory.
The result is a live, continuously updated inventory of AI assets across the organisation — including the ones nobody officially approved.
Common Questions from Security & IT
Does the agent affect endpoint performance?
Tracelet is designed for minimal performance impact. For standard AI tool interactions, users experience no perceptible delay.
Does the browser extension see personal browsing?
No. The extension activates only on AI tool destinations (ChatGPT, Claude, Gemini, Copilot, Perplexity, and configured custom destinations). Personal browsing is not captured. Personal versus business AI use is distinguished and personal usage is excluded from productivity analytics.
Does it require a network proxy?
No. Tracelet requires no proxy configuration and no changes to network topology. Deployment integrates with your existing endpoint management and browser management tooling.
What happens when an endpoint is offline?
Offline mode is configurable. You can default to block-all, allow-list-only, or policy-cache-based enforcement when connectivity to the policy engine is interrupted.
What data does Tracelet send to the platform?
By default, governance decisions are based on content classifications and metadata — not the content itself. Prompt content is never transmitted by default. Full-content logging is available as an explicit opt-in with documented data handling controls. See our Privacy & Responsible Governance page for the full model.
Request a Deployment
Walkthrough.
We’ll walk through how Tracelet deploys into your specific environment — engineering stack, browser management policy, directory setup, and compliance framework.