{"id":90834,"date":"2026-06-30T16:04:40","date_gmt":"2026-06-30T16:04:40","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/90834\/"},"modified":"2026-06-30T16:04:40","modified_gmt":"2026-06-30T16:04:40","slug":"perforce-intelligence-advances-control-and-trust-for-ai-workflows","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/90834\/","title":{"rendered":"Perforce Intelligence Advances Control and Trust for AI Workflows"},"content":{"rendered":"<p>\t\t\t\t<img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/www.perforce.com\/themes\/custom\/p4base\/assets\/images\/logo.svg\" alt=\"Perforce Software\" width=\"162\" height=\"36\"\/><br \/>\n Perforce Agentic Gateway provides an orchestration layer for the AI-Driven Development Lifecycle (AI-DLC) to control token consumption and ensure compliance across MCPs.<\/p>\n<p><a href=\"https:\/\/www.perforce.com\/\" target=\"_blank\" rel=\"noopener nofollow\">Perforce Software<\/a>, the modern DevOps Tech Stack that ensures AI control, announced major updates to Perforce Intelligence, with an MCP-agnostic agentic gateway, an AI-assisted testing and natural language execution platform, and a unified compliance platform. First-to-market capabilities include unified functional, performance, and mobile testing with a single prompt, allowing even business users to write automation test cases, and the ability to take written security policies and enforce them continuously across on-premises, hybrid, and multi-cloud environments.<\/p>\n<p>Together, the solutions address the control and trust dilemma of the AI-DLC in highly regulated industries and enterprise environments. Core releases include:<\/p>\n<p>Perforce Agentic Gateway:\u00a0An AI orchestration layer that reduces\u00a0token\u00a0consumption and can be used to manage third-party MCPs for compliance. In a single install, the gateway can integrate Perforce MCPs, making it easier to govern AI where software is built and delivered \u2013 across code, IP, data, infrastructure and testing.<br \/>\nPerforce Autonomous Testing:\u00a0Non-testers describe what they want to validate in natural language through a single chat interface and AI executes. Companies gain continuous agent-driven validation across functional, performance, and mobile testing with a consolidated test experience.<br \/>\nPerforce Intelligence Unified Compliance:\u00a0An intelligence layer that automates the path from a policy to\u00a0enforcement across your infrastructure, ensuring continuous compliance and evidence collection.<\/p>\n<p>As enterprises move from AI experimentation to production-scale deployment, executives and IT leaders are facing growing pressure to deliver measurable business outcomes while maintaining control over increasingly complex and sometimes costly AI ecosystems. A 2026 survey from The Harris Poll, commissioned\u00a0by Dataiku, of over 900 CEOs across geographical regions, found \u201c80% of CEOs say their role will be at risk if their company fails to deliver measurable business gains from Al by the end of 2026.\u201d The lack of clear visibility into where AI is being used, how it\u2019s making decisions, how to optimize costs, and whether outputs meet security, compliance, and quality requirements creates operational, regulatory, and business risks that limit AI\u2019s value within software delivery.<\/p>\n<p>\u201cScaling AI across the software delivery lifecycle or AI lifecycle introduces new challenges around orchestration, governance, and compliance. Further, the need to prove AI\u00a0ROI is no longer only a technology question but also an executive and board member need. There\u2019s 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\u2019s doing,\u201d said Jim Mercer, Program Vice President, IDC. \u201cPerforce\u2019s vision for Perforce Intelligence reflects the industry\u2019s shift toward more connected, governed, and autonomous software delivery environments with better visibility and impact to a business.\u201d<\/p>\n<p>\u201cThe 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,\u201d said Anjali Arora, CTO of Perforce. \u201cHaving worked with some of the biggest enterprises and highly regulated industries that need both scalability and control, Perforce is uniquely positioned to be that control plane. The latest iterations of Perforce Intelligence are steps to bring both control and speed with the AI-DLC.\u201d<\/p>\n<p>Perforce Agentic Gateway: The Precursor for the AI Control Plane<\/p>\n<p>Perforce Agentic Gateway,\u00a0available now\u00a0through GitHub,\u00a0provides a centralized enterprise access layer for the\u00a0Perforce MCP portfolio\u00a0through a single install and guided setup experience, enabling AI agents and tools to access, coordinate, and automate workflows across the entire Perforce portfolio.<\/p>\n<p>The gateway can also be used as an AI orchestration layer to\u00a0manage third-party MCPs\u00a0for compliance and reduced\u00a0token\u00a0consumption. To connect Perforce products\u2019 capabilities into workflows, organizations need to own the Perforce products.<\/p>\n<p>Also Read:\u00a0<a href=\"https:\/\/aithority.com\/interviews\/aithority-interview-with-matej-bukovinski-chief-technology-officer-at-nutrient\/\" target=\"_blank\" rel=\"noopener nofollow\">AiThority Interview with Matej Bukovinski, Chief Technology Officer at Nutrient<\/a><\/p>\n<p>Perforce Autonomous Testing: Moving Beyond Scripted Automation<\/p>\n<p>The Perforce Autonomous Testing platform lays the groundwork for more advanced autonomous quality engineering and continuous agent-driven validation workflows for software delivery, quality engineering, and testing teams. Initial platform capabilities include:<\/p>\n<p>Natural language test configuration and execution allowing business users to write automation test cases, ensuring faster in-sprint test automations.<br \/>\nAI-assisted testing orchestration across mobile, web, desktop, performance, and accessibility testing.<br \/>\nExecution workflows where AI determines how tests should execute a task based on application context, user intent, and testing objectives.\u00a0<br \/>\nA single test can work across desktop web, iOS, Android, Visual Accessibility, and Performance executions.<\/p>\n<p>Built on Perforce\u2019s existing testing platforms,\u00a0BlazeMeter\u00a0and\u00a0Perfecto,\u00a0future iterations will include a\u00a0Delphix\u00a0integration for test data and environment provisioning.<\/p>\n<p>Unified Compliance: Closes the Gap Between Security Policy Authoring and Continuous Enforcement<\/p>\n<p>The\u00a0Unified Compliance\u00a0platform\u00a0is\u00a0a new\u00a0intelligence\u00a0layer\u00a0that sits above\u00a0existing Puppet\u00a0deployments. It translates internal and external policies into code, routes enforcement to the applicable infrastructure (including Kubernetes environments), continuously monitors for drift, remediates violations, and\u00a0maintains\u00a0the audit evidence stakeholders need. Regulated enterprises reduce risk and maintain an auditable compliance posture across on-premises, hybrid, and multi-cloud environments. Current capabilities include:<\/p>\n<p>Enforced cloud infrastructure cost and financial compliance.<br \/>\nNatural language policy intelligence.<br \/>\nAI-driven drift remediation for infrastructure and Kubernetes against regulatory security policies<br \/>\nExecutive-level compliance posture dashboards.<\/p>\n<p>Future\u00a0iterations\u00a0will include\u00a0additional\u00a0integrations across\u00a0Perforce\u2019s\u00a0portfolio of trusted compliance enforcement tooling to extend capabilities across data governance,\u00a0product lifecycle,\u00a0OSS and supply chains, and safety-critical code.<\/p>\n","protected":false},"excerpt":{"rendered":"Perforce Agentic Gateway provides an orchestration layer for the AI-Driven Development Lifecycle (AI-DLC) to control token consumption and&hellip;\n","protected":false},"author":2,"featured_media":90835,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,7272,47954,25,47955,47956,47957,47958,47959],"class_list":["post-90834","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-ai-workflows","tag-ai-assisted-testing","tag-artificial-intelligence","tag-it-leaders","tag-mcp-agnostic-agentic-gateway","tag-modern-devops-tech-stack","tag-natural-language-execution-platform","tag-perforce-software"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/90834","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=90834"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/90834\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/90835"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=90834"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=90834"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=90834"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}