The control plane for
employee AI.

Kelasa helps IT and Security teams discover employee AI, enable approved tools, and govern what agents can access and do.

Cover every place employees use AI.

Find the AI employees use in browser apps, desktop clients, coding agents, and SaaS. Approve the right tools. Control how they reach company systems.

Browser Apps sit above the Kelasa policy and access layer, which applies discover usage, approve tools, control access, audit actions before reaching Company tools, Connected data, Sensitive actions.

Employees use browser-based AI to search, analyze, and work with company information. Kelasa finds the AI used without approval, then controls how approved AI reaches company tools, data, and actions.

  • ChatGPT
  • Claude
  • Gemini
  • Perplexity
  • Microsoft Copilot
  • and more

Desktop AI clients can access local files, employee credentials, and connected MCP servers. Kelasa governs approved connections and creates an audit trail of actions performed through them.

  • Claude Desktop
  • ChatGPT Desktop
  • Microsoft Copilot
  • Ollama
  • and more

Coding agents can read repositories, execute commands, and interact with infrastructure. Kelasa limits the tools and environments they can reach. It can require approval for sensitive actions and record what each agent did.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Cline
  • Devin
  • and more

Employees can create and run agents inside SaaS and automation platforms. Kelasa governs their identities, permissions, connected tools, approvals, and activity.

  • Copilot Studio
  • Agentforce
  • Glean
  • Workday
  • n8n
  • and more

Product

One product to discover, enable, and govern employee AI.

Employees get access to approved AI. IT and Security get one consistent way to manage who can use it, what it can reach, and what happened.

Discover

Start with an accurate picture.

AI spreads faster than procurement. Kelasa gives you a continuously updated view of the AI tools and agents in use, who is using them, and how much control you have over each one.

  • Access MappingComing soon

    See which company systems, data, and tools each AI product can reach, who granted access, and which identity it is using.

  • Activity TimelineComing soon

    Bring together activity from supported clients, gateways, enterprise logs, and endpoint telemetry. Trace captured actions back to the user, agent, and system involved.

See it in action

Enable

Give every team a trusted way to use AI.

Visibility alone does not change behavior. Kelasa gives employees a faster, approved path to find AI, request access, and connect it safely to company systems.

See it in action

Govern

Control who and what AI can access.

AI should not inherit unlimited access just because a user connected it once. Kelasa lets you set the rules for who can use AI, what data it can reach, and which actions need approval.

  • Agent Identity and AccessComing soon

    Give each governed agent a distinct identity and purpose. Limit its access to the tools, data, and actions required for its role.

  • Runtime ProtectionComing soon

    Detect sensitive data and risky behavior across supported AI surfaces. Alert, mask, require approval, or block when an inline enforcement point is available.

See it in action

30-day rollout

From shadow AI to governed AI in 30 days.

Connect your existing systems, discover how employees use AI, approve what stays, and govern access to company data and tools.

  1. Days 1–7

    Discover what’s in use.

    Connect identity, browser, endpoint, and SaaS telemetry to map the AI tools and agents employees are using.

    By day 7A live inventory of discovered AI, with users, owners, and coverage.

  2. Days 8–14

    Decide what gets approved.

    Assign owners, review risk and usage, decide which tools are approved, and flag everything else for restriction or removal.

    By day 14An approved AI catalog employees can trust.

  3. Days 15–21

    Govern access to company systems.

    Connect approved tools and agents through Kelasa, with permissions, approvals, and audit logs for every governed action.

    By day 21Governed access to your first business-critical systems.

  4. Days 22–30

    Put every governed agent on the record.

    Give each supported agent an identity, owner, permissions, and policy. Trace every governed action back to a person.

    By day 30Every governed agent accountable to an owner.

FAQ

Frequently asked questions

Kelasa helps IT and Security teams discover, enable and govern how employees use AI across the company.

Kelasa governs the AI tools employees use. That covers browser apps, desktop clients, coding agents, and SaaS with built-in agents.

Kelasa brings discovery, approved tool catalogs, access rules, approvals, and audit logs into one platform.

Yes, when an action passes through a Kelasa-governed connection. Kelasa can allow it, block it, or require approval before the action reaches a company system.

No. Kelasa works across all of them, so you apply one set of rules no matter which AI product a team uses.

An MCP gateway controls MCP traffic. Kelasa covers more than that: discovery, approvals, identity, permissions, policies, tool access, and audit logs. The gateway is one part of Kelasa.

Start with one team, AI client, or workflow. Connect employee identity, approve the tools AI can access, define policies, and expand as adoption grows.

Give your company the confidence to go further with AI.

Enable the tools your teams need. Govern every agent. Secure adoption as it scales.