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Oct 21, 2025 12:00 PM

Keycard Launches to Solve the AI Agent Identity and Access Problem With $38 Million in Funding From Andreessen Horowitz, Boldstart Ventures and Acrew Capital

SAN FRANCISCO, Oct. 21, 2025 (GLOBE NEWSWIRE) -- Today, Keycard emerged from stealth with its identity and access platform for AI agents that integrates with organizations' existing user identity solutions. Keycard's platform identifies AI agents, lets users assign task-based permissions and dynamically enforces policy while tracking all activity. With Keycard, organizations can deploy AI agents into production with complete trust, knowing they are only capable of performing the intended actions of their users and builders.

"AI agents represent a once-in-a-generation shift, greater than the SaaS and cloud wave combined. But without trusted access controls, they can't leave the lab. Keycard provides the guardrails that allow agents to act safely on behalf of people and businesses, unlocking the true potential of the agent economy," said Ian Livingstone, co-founder and CEO of Keycard.

Keycard was co-founded by Ian Livingstone, Matthew Creager and Jared Hanson. Livingstone and Creager served as senior leaders at Snyk where they built the platform engineering and developer experience divisions as revenues grew from $30 million to $300 million. Hanson was the Chief Architect at Auth0 before joining Okta as a senior technical leader, and he created Passport.js, the most popular authentication framework for Node.js that is downloaded millions of times every week. At these companies, the trio witnessed how developers constantly struggled to connect services and applications together within and across organizations at enterprise scale - often leading to painful security incidents and significant product delays. 

This problem has only been exacerbated with AI agents. Today they spawn by the thousands and operate autonomously across systems and organizational boundaries. They need different permissions based on the task they are working on, which people and companies they are doing the task for, the resources they are accessing and who owns those resources. 

Existing solutions were not architected for AI agents. They were built for a world of ...