Perforce Software Inc. today expanded its Perforce Intelligence lineup with an agentic gateway for managing artificial intelligence agents, an autonomous testing platform driven by natural language and a unified compliance tool that turns written security policies into continuous enforcement.

The DevOps company is pitching the releases at enterprises and regulated industries trying to move AI from experiments into production without losing control of cost, governance and quality. Perforce frames the problem as a control and trust gap that widens as AI agents touch more of how software gets built and shipped.

At the center is Perforce Agentic Gateway, an orchestration layer that sits in front of the Model Context Protocol, the standard for connecting AI agents to tools and data. The gateway gives organizations a single install and guided setup to access Perforce’s MCP portfolio across code, intellectual property, data, infrastructure and testing. It can also govern third-party MCPs and the company said it reduces token consumption, a recurring cost as agent usage scales. The gateway is available now through GitHub.

Perforce Autonomous Testing lets non-testers describe what they want to validate in plain language through a single chat interface, with AI then carrying out the work. The platform spans functional, performance and mobile testing and a single test can run across desktop web, iOS, Android, accessibility and performance. It is built on BlazeMeter and Perfecto, two testing products already in Perforce’s portfolio, with a Delphix integration for test data planned for later releases.

The third release, Perforce Unified Compliance, sits above existing Puppet deployments and translates internal and external policies into code. It routes enforcement to the relevant infrastructure, including Kubernetes environments, monitors for drift, remediates violations and keeps the audit evidence that regulators require. Initial capabilities include natural language policy controls, cloud cost and financial compliance enforcement and executive dashboards showing compliance posture.

Perforce is positioning the bundle as a control plane for what it calls the AI-driven development lifecycle, citing pressure on executives to show returns on AI spending. The company pointed to a Harris Poll survey commissioned by Dataiku Inc., in which 80% of more than 900 chief executives said their roles would be at risk if their companies failed to deliver measurable business gains from AI by the end of 2026.

“Scaling AI across the software delivery lifecycle or AI lifecycle introduces new challenges around orchestration, governance and compliance,” said Jim Mercer, program vice president at International Data Corp. “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.”

Perforce said its software is used in more than 80 countries, including by more than 75% of the Fortune 100 and half of the Global 500.

Image: Perforce