Today, we’re announcing AI Access Management: a unified control plane for managing access to AI tools and data used by employees, AI personal assistants, and enterprise agents. End users get secure access to data in seconds while security gets full visibility and policy enforcement over every tool call. No credentials on laptops. No multi-day setup processes or helpdesk tickets required. No more dependencies on vibe-coded MCPs installed locally on laptops.
It started with a simple problem
ConductorOne is an AI-native business. We use AI powered workflows, automations, and tools everywhere we can. So, our team is frequently reaching for new capabilities to help them go faster.
And that’s where the story of Claire comes in. Claire is a marketing director here and she’s pretty swell at using AI to get her job done.
Claire saw a blog post about connecting Claude to a Google Analytics MCP to run automated SEO and GEO analysis. The setup instructions? Install Python, create a Google Cloud project, enable the Analytics API, create a service account, download JSON credential file, git clone aforementioned vibe-coded Google Analytics MCP and run locally. No thanks. Not only is it impractical for non-technical users, it’s also a security nightmare. So she gave up.
This is happening across every enterprise
Every company is hitting the same wall. Employees need to connect AI assistants to the tools they use every day. Enterprises need to govern agents and workflows with secure context delivery and data. There is simply no way to secure and govern this access at scale. Most people either give up or find a way to bypass the policies entirely. In the end, shadow AI is the direct result of making the safe path the slow path.
So we asked a different question: what if the fastest path was actually the safest one?
What if Claire could just request the access she needed, literally from within Claude?
No support tickets.
No new software on her devices.
No sharing of Google credentials over Slack or email.
Full audit trail for security.
Zero manual steps for IT.
Introducing AI access management
Three things make this different:
First, an identity-aware MCP proxy that governs every tool call in real time. We’ve spent more than 5 years building an industry-leading identity platform and robust connector ecosystem. That foundation powers a new control layer between AI agents and your enterprise systems. We’re hosting over 3,000 MCP servers in our platform, so virtually any application with an API is available out of the box. Enterprise agents are first-class identities with their own credentials, lifecycle states, and ownership. Service credentials never touch a user’s laptop. They’re vaulted centrally with automatic rotation. Secure by default.
Second, fine-grained policy enforcement on tools and data access. Flexible, dynamic policies define which tools an agent can call. Intent based approvals drive step-up, human on the loop, verification for privileged actions or data access requests. Policies control access based on role, department, and/or agent identity. This is governance that scales adoption securely instead of blocking progress.
Third, self-service access that’s actually fast. End users request the AI tools they need and get provisioned in seconds through policy-based auto-approval or routed human approval. No tickets. No waiting. No more shadow AI born from frustration.
See a preview:
Our mission: power the agentic enterprise transformation
Today’s product launch is about helping IT, security, and AI leaders enable their companies to be more effective with AI tools and agent workflows. It’s about getting your marketing team secure read-only access to analytics tools through their AI assistants. It’s about your sales and BDRs prospecting and building accounts plans using AI agents to pull data from Salesforce, Hubspot, and Gong. It’s about giving security and IT the tools they need to say “yes”. And just as importantly, it’s about giving CIOs and CISOs bragging rights when they report to their board on AI adoption.
AI Access Management is currently in early preview with select customers.
Today Claire runs the Google Analytics reports in 60 seconds. If you want to see what we’ve built, book a demo.
