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Secure Enterprise AI Integrations

Connector as a Service

Governed connections between AI systems and the enterprise tools and data they rely on — designed for least-privilege access, consistent credential handling and recorded activity.

Development status: Working Prototype — Integration Testing

Overview

Why it matters

Every AI agent that reads a system or takes an action needs an integration. Built one-off, those integrations accumulate broad permissions, scattered secrets and little visibility.

Connector as a Service is a working prototype in integration testing. It is designed to provide reusable, policy-aware connectors so that AI access to enterprise systems is scoped, consistent and observable.

Design goals

Design goals

01

Least-privilege access

Each connector exposes only the operations an AI workload needs, scoped per use case.

02

Consistent credential handling

Centralized, short-lived credentials instead of secrets embedded in prompts, code or agent configuration.

03

Policy hooks

Connection points where runtime policy — including Kavrent decisions — can be applied.

04

Recorded activity

Connector calls recorded as security events to support investigation and audit.

Development status

Working Prototype — Integration Testing

Connector as a Service is a working prototype currently in integration testing. It is not commercially available, and integration coverage has not been finalized.

Status labels are provisional and subject to final founder verification.

Where it fits

  • Teams connecting AI agents to internal tools and data
  • Security teams standardizing how AI systems reach enterprise resources
All technology
Development status: Working Prototype — Validation in Progress

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