Kairro gives security, IT, and governance teams one control plane for browser extensions and endpoint collectors: visibility, findings, policy enforcement, investigations, and framework posture in one place.
Prompt activity, DLP evidence, user, app, and endpoint context stay connected.
Teams respond from the same control plane that captures activity.
OpenAI
Claude
Cursor
Copilot
Chrome
macOS
Linux
Ollama
Kairro helps teams monitor activity from AI assistants, coding tools, browsers, endpoints, and local AI workflows from one governance layer.
Monitor activity from assistant, model ecosystem, coding, and repository workflows without implying official partnership.
OpenAIAssistant activity
Visible
ClaudeAssistant activity
Visible
AnthropicModel ecosystem
Visible
GeminiAssistant activity
Visible
GrokAssistant activity
Visible
MetaModel ecosystem
Visible
CodexCoding workflow
Govern
CopilotCoding workflow
Govern
CursorDeveloper workflow
Govern
GitHubDeveloper workflow
Govern
Govern workflows involving browsers, productivity surfaces, developer endpoints, and local models.
ChromeBrowser activity
Monitor
MicrosoftProductivity workflows
Monitor
macOSEndpoint workflows
Endpoint
LinuxDeveloper endpoints
Endpoint
OllamaLocal AI workflows
Local
Route local model activity, sensitive workstation context, and developer endpoint findings into review.
Most companies still only see part of the picture. Browser prompts, workstation activity, shadow tools, and approval decisions live in different systems, so security and governance teams end up reacting without a complete operating view.
Teams quietly test new AI tools with no shared inventory, no owner, and no clear investigation path.
Terminal, local tooling, collectors, and endpoint credential workflows often sit outside traditional AI monitoring.
Policies, approvals, controls, and audit evidence often live in disconnected dashboards, spreadsheets, and tickets.
When something risky happens, teams need findings, device context, policy state, and framework posture together.
Bring browser activity, workstation telemetry, findings, policy decisions, and control maturity into one system of record.
See AI activity across browsers, collectors, shadow tooling, and device posture with one operating view.
Apply policies to prompts, tools, domains, sensitive data, and collector-driven review flows with deterministic actions.
Track findings, review workflows, framework controls, and evidence so AI adoption becomes an operating program.
Kairro combines browser extensions, endpoint collectors, policy management, investigations, and governance workflows without forcing teams into separate tools.
OpenAI · Finance workspace · 2m ago
Developer endpoint · Approval needed
Credential-like secrets · All developer endpoints
PII, financial data, protected customer fields
Findings, policies, and evidence remain connected to governance controls.
Browser and endpoint activity
Policy evaluation
Risk findings
Investigation workflow
Governance controls
Security teams can move from overview to activity, findings, and investigation context without stitching separate dashboards together.
Control-plane summary for activity, findings, sensitive data, and policy outcomes.
Monitor activity from approved and unapproved AI workflows.
Review, block, approve, and escalate AI risk findings from one queue.
Test, publish, and enforce rules for AI prompts, tools, domains, and sensitive data.
Security and governance teams get focused controls for discovery, DLP, coding workflows, agentic review, compliance, and response.
Surface unknown AI tools and route new activity into review.
Finding openedDetect regulated, customer, and business-sensitive content before it spreads.
Sensitive data detectedApply policy actions to risky prompts, files, and workflow context.
BlockedFlag secret-like values and privileged context before submission.
Credential exposureGovern developer assistants, IDE workflows, repositories, and endpoint activity.
Developer workflowRoute higher-risk agent actions into review, block, or escalation paths.
Under reviewConnect policies, findings, and evidence to governance controls.
MappedGive analysts the actor, device, app, policy, and evidence context they need.
EscalatedStart with browser visibility, then add endpoint telemetry, advanced policy, governance workflows, and enterprise integrations as coverage expands.
For teams beginning with browser-level AI visibility and policy basics.
For teams expanding from browser controls into endpoint telemetry and deeper reporting.
For organization-wide governance, custom retention, SLAs, and security data integrations.
Kairro is designed as a control plane across the AI workflow, with investigations and governance kept close to the underlying activity.
Browser telemetry alone misses developer, endpoint, and local AI workflow context.
AI usage needs app, user, endpoint, policy, and governance context around each event.
Enterprises need visibility wherever employees adopt AI, not only traffic through one gateway.
Coverage across assistants, coding tools, browsers, endpoints, and local AI activity.
Findings, policies, investigations, and governance controls stay in one operating view.
Review, approve, block, or escalate with the evidence needed to make the decision.
See how Kairro gives you one operating layer for AI visibility, findings, policies, integrations, and governance across browsers and workstations.