Enterprises scaling AI agents often face a dilemma: agents kept in a sandbox are safe but unproductive, while those released without controls risk taking unauthorized actions. Transcend's new product, Rails, aims to solve this by enforcing policies at the moment an agent acts, rather than only at the identity or network level. The company says Rails answers "Can my agent do this, for this purpose, right now?" in milliseconds, using the security and policy data an organization already has.
Rails lets business leaders define rules in plain language, then applies them consistently across any agent stack. Each agent gets an accountable owner, a complete audit trail, and a kill switch. The platform also includes spending controls, which the company says can pay for itself. Transcend claims Rails runs on the same infrastructure that already handles 174 billion data decisions and governs 418 million operations inside Fortune 500 systems.
The product is live across Claude Desktop, Claude Code, Cursor, and agents built on AWS Bedrock, Snowflake Cortex, and Adobe Experience Platform. Transcend positions Rails as a data-context engine rather than an identity or networking tool, noting that most competitors started from those areas and are now adding enforcement. The company also cites a Gartner prediction that by 2030, half of AI agent deployment failures will stem from insufficient runtime enforcement.