Enterprises in regulated industries can now route AI agents through a central orchestration layer that manages third-party MCPs for compliance and reduces token consumption, under major updates to Perforce Intelligence announced by Perforce Software. The release spans three components: an agentic gateway, an AI-assisted testing platform driven by natural language, and a unified compliance layer that turns written security policies into continuous enforcement.
The Perforce Agentic Gateway, available now through GitHub, provides a centralised enterprise access layer for the Perforce MCP portfolio through a single install. It can also manage third-party MCPs, enabling organisations to govern AI where software is built and delivered - across code, IP, data, infrastructure and testing.
Perforce Autonomous Testing lets non-testers describe what they want to validate in natural language through a single chat interface, with AI executing across functional, performance, mobile, web, desktop and accessibility testing. A single test can work across desktop web, iOS and Android. The platform is built on Perforce's existing BlazeMeter and Perfecto tools, with a Delphix integration planned for test data provisioning.
The Unified Compliance platform sits above existing Puppet deployments. It translates internal and external policies into code, routes enforcement to the applicable infrastructure including Kubernetes environments, monitors for drift, remediates violations and maintains audit evidence across on-premises, hybrid and multi-cloud environments.
"There's a lot of money being spent with AI, but the next evolution needs to be on ROI of AI, which can only be measured if you have control mechanisms in place and visibility into what it's doing," said Jim Mercer, Program Vice President at IDC, commenting on the release.
Anjali Arora, CTO of Perforce, said the company aims to be the control plane for enterprise AI workflows. "The future of AI in the enterprise will be defined by how effectively organizations can control, scale, and operationalize AI workflows, models, and deliver real business results with clear visibility and traceability," she said.
The release cites a 2026 Harris Poll survey, commissioned by Dataiku, of more than 900 CEOs, which found 80 per cent say their role will be at risk if their company fails to deliver measurable business gains from AI by the end of 2026.