Design, Deliver, and Control AI DevOps Stack at Scale
Perforce is the DevOps stack for high-stakes applications. Speed, scale, and governance in the age of AI execution.
AI has moved beyond experimentation to infrastructure, generating code, orchestrating tests, and accelerating delivery pipelines — it’s become a large part of decision-making processes.
This acceleration creates opportunities, but also exposure. The gap between what AI can do and what organizations can actually govern is where real operational risks live.
Within Perforce is a host of tools to close this cap across code and IP, quality and data, infrastructure, and services. We provide the DevOps stack purpose-built for the AI execution phase, where speed and governance aren’t competing priorities.
The Future of AI Depends on Execution
Uncontrolled agent behavior, audit gaps, security blind spots, and traceability failures have become some of the most pressing risks in modern software delivery with AI, particularly for organizations in regulated industries where a failed audit carries real consequences.
What you need isn’t to slow down AI adoption, but to build an ecosystem that functions as a control layer—from source code and testing to security and compliance.
Perforce Intelligence reflects our commitment to bringing enterprise-grade AI into the DevOps lifecycle in practical, measurable ways. Rather than treating AI as a standalone capability, we embed intelligence to connect these critical parts to reduce manual efforts and boost productivity.
Design
Build stronger foundations across code, intellectual property, planning, and collaboration.
Deliver
Accelerate development, testing, validation, and release processes across distributed teams.
Control
Maintain governance, compliance, security, and oversight as AI becomes embedded throughout software delivery.
One Stack to Cover Every Layer of AI Delivery
Four domains. One integrated approach. Every layer is designed to carry the weight of enterprise-scale AI delivery without cutting corners on governance.
Code & IP
Secure versioning at enterprise scale gives teams the foundation to move fast without losing track of what's being built or who changed it.
- Govern what AI agents can access and submit, with user-specific permissions enforced at every step.
- Catch vulnerabilities and errors before they reach production with AI-assisted reviews.
- Maintain full traceability across human and AI-generated changes.
- Protect intellectual property across distributed teams and AI-driven workflows.
Quality & Testing
AI-generated code and accelerated development cycles increase pressure on quality assurance teams. Confidence comes from validating software early and often.
- Create and maintain tests using natural language — no scripting overhead or maintenance backlog.
- Validate real user workflows through agentic AI detection and context-aware commands.
- Use AI-driven analysis to identify performance, security, and quality issues earlier in the development cycle.
- Automate mobile, web, desktop, API, and performance testing from a single, unified platform.
Data
The data behind an AI model carries as much compliance weight as the model itself. Auditors want to know what data was used, who had access, and how sensitive information was handled.
- Deliver compliant, production-like data environments across DevOps and AI pipelines.
- Ensure AI models train and operate on protected, regulation-ready datasets via data masking.
- Provision test environments on demand with controls that meet HIPAA, FedRAMP, and PCI requirements.
- Maintain governed data access for AI systems, so every touchpoint is traceable and defensible.
Infrastructure
AI introduces new operational demands across cloud, on-premises, and hybrid environments. Organizations need infrastructure that can scale while remaining secure and manageable.
- Enforce IT configurations as code across cloud, on-premises, and hybrid environments.
- Monitor for policy drift in real time and trigger automated remediation before issues compound.
- Meet the requirements of frameworks like DORA and emerging AI governance mandates with infrastructure that proves compliance.
- Support growing AI workloads without increasing operational complexity.
When AI Starts Shipping Code: The Series
Perforce brings together CTO leaders, product innovators, and enterprise DevOps experts to explore how organizations can move beyond AI experimentation toward controlled, enterprise-scale AI execution.
- Why Control Is Your New Competitive Advantage
- Managing the Collision Between Human and AI-Generated Code
- Your Testing Strategy is Already Obsolete
- Why Compliance Must Become Continuous
Govern Your AI Workflows from Day One
AI execution at enterprise scale is already happening.
Perforce was built for this moment. Across code, quality, data, and infrastructure, the DevOps stack is designed to carry the full weight of AI-driven delivery in environments where the stakes are real and the margin for error isn't.