Telara
Telara provides a control plane that sits between AI assistants and connected enterprise tools, mediating every call against tenant-scoped identity, policy, and delegated authority. The platform supports MCP, A2A, and API integration paths, with human-in-the-loop approval gates and a full audit record of decisions and outcomes. It includes a connector catalog spanning GitHub, Jira, Slack, Salesforce, AWS, and AI admin APIs from OpenAI and Anthropic.
- Enterprise Software
- Artificial Intelligence
- Cybersecurity
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations are adopting AI tools faster than they can establish operating controls around them. Knowledge workers connect AI assistants to company systems without consistent identity, policy, or approval boundaries, creating security gaps, audit blind spots, and fragmented oversight across vendors and tools.
Solution
Telara provides a control plane that sits between AI clients and connected tools, mediating every call against tenant-scoped identity, policy, and delegated authority. The platform resolves permissions for the person, client, tool, and action before a mediated call proceeds, and retains the decision, outcome, and attribution as an enterprise operating record. It supports MCP, A2A, and API integration paths, allowing organizations to govern connected clients, tools, services, and context as one estate. Admins can scope tool sets, require human approvals for designated actions, and connect identity sources such as SAML/OIDC SSO, while users can request integration access and create permission policies through a self-service workflow.
Target Audience
Primary customers are enterprise security, platform, and IT operations teams that need to govern AI tool usage across their organization, along with knowledge workers who use AI assistants connected to internal systems.
Features
- Agent IAM with tenant-, team-, user-, and client-scoped authority resolution and per-call policy evaluation
- Human-in-the-loop approval gates for actions designated by policy, with decisions and outcomes recorded
- Connector catalog spanning GitHub, GitLab, Jira, Slack, Salesforce, AWS, Azure, Okta, Stripe, and AI admin APIs including OpenAI and Anthropic
- MCP configuration, agent factory, and workbench for building and operating governed agents
- Shadow AI detection to identify and bring ungoverned AI usage under policy
- Rewind capability that retains task context and prior decisions so subsequent runs start from established precedent