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How Enterprise Teams Are Automating AI Compliance at Scale | Perforce 2026

AI has changed how fast software ships. It hasn't changed how compliance gets done, until now. In this session, Perforce CTOs Anjali Arora and Rod Cope are joined by Nico Kruger, Senior Director of Global Sales Engineering, to break down why traditional compliance can't keep pace with AI-native development, and what replaces it. Topics covered: This is the fourth and final session in the "When AI Starts Shipping Code" webinar series, exploring how AI is reshaping software delivery from development through governance, testing, and now compliance.

What Is a Generative Engine Optimization Checker and How Does It Work?

With Artificial Intelligence (AI) quickly changing how people discover information online, search is no longer limited to traditional search engines. This creates a new challenge for businesses and marketers in terms of knowing whether generative engines can find, understand, and recommend their content.

Unlocking the Power of Trusted Data Intelligence: Amazon Quick Meets Qlik MCP Server

When was the last time you made a major business decision and were completely certain the data behind it was accurate, complete, and trusted? For most organizations, that certainty is less common than it should be. Qlik and Amazon Quick together solve one of the biggest obstacles to AI adoption: knowing whether you can trust the output.

AI Debugging: How to Use AI to Find and Fix Bugs Faster

At its simplest, AI debugging automates repetitive coding tasks like searching logs, reading stack traces and comparing sessions. But good AI debugging is a much more challenging concept that relies on focused context, runtime evidence and structured investigation paths. In this post we’ll show you how to debug with AI, not just productively but also responsibly. Let’s get into it.

What is Sauce Labs AURA? The AI-Unified Release Assurance Platform

AURA: AI-Unified Release Assurance is the world's only closed-loop agentic platform that authors, runs, and analyzes tests with human oversight, informed by 8.7B+ test executions. It takes you from business intent to production confidence at AI speed. From the founders of Selenium and Appium.

Building Enterprise-Grade AI Agents: From Prototype to Production

Everyone can build an AI agent today. The hard part isn't getting an agent to answer a question or complete a demo. It's deploying one that employees trust, security teams approve, and operations teams can manage at scale. That's where many AI projects stall. As organizations move beyond experimentation, the conversation shifts from prompt engineering to production readiness. Can the agent safely access business data? Can you evaluate changes before deployment? Can you understand why it made a decision?

Use of AI in Software Development

Quick application integrity check: can your quality strategy survive the tsunami of code coming its way? AI is accelerating development, increasing code abstraction, and multiplying the volume of software teams need to validate. But existing QA approaches weren't built for this level of speed and scale. Application integrity closes the growing gap between what teams build and what they can verify, providing continuous assurance that software works as intended.

Why AI Sovereignty Is an Operational Problem

AI sovereignty has become one of those phrases that sounds precise until someone asks what it actually means. For one federal agency, sovereignty means keeping sensitive data inside accredited boundaries. For another, it means running open-weight models in a FedRAMP-authorized private cloud. In defense and intelligence settings, it may mean operating inside an air-gapped environment at IL5 or IL6.