Kindo

Founded 2022

Govern, deploy, and monitor enterprise autonomous agents across security, IT, and cloud infrastructure

You can use Kindo to discover, govern, and monitor autonomous agents running across your organization. It connects agents to internal systems like cloud environments, identity providers, CI/CD pipelines, and SIEM tools while enforcing role-based permissions and data loss prevention policies. Teams can build custom agents using natural language or import existing models to automate technical workflows across IT, DevOps, and security operations. It also tracks total token usage, monitors live agent activity, attributes spending to specific owners, and generates audit logs for compliance reviews.

What Kindo does

Detect unapproved AI models and active agents across corporate networksSet runtime guardrails and required approvals for autonomous agent workflowsTrack token usage and cloud inference costs per departmentEnforce role-based access control and data loss prevention rulesDeploy agents directly inside air-gapped or on-premise environmentsAutomate repetitive incident response and tier-one security alert investigationsLog every agent decision, accessed data source, and operational outcomeCentral dashboard to track all running and failed agents across the enterpriseAutomatic inheritance of user permissions for agent actions and data queriesContinuous discovery and inventory of shadow AI tools and third-party modelsDirect token and dollar cost attribution broken down by agent, owner, and teamAir-gapped, on-premises, and self-managed Kubernetes deployment optionsBuilt-in data loss prevention controls and secrets management for agent executionPurpose-built Deep Hat security model for red teaming and attack analysisComprehensive audit logging for regulatory compliance and incident reviews