Operations | Monitoring | ITSM | DevOps | Cloud

AI is writing code faster than ever. But what happens after the code is written? Harness CEO Jyoti Bansal introduces four AI agents built to automate the software delivery lifecycle: Software Delivery Agent – Automate builds, deployments, and infrastructure management. Security Testing Agent – Find, prioritize, and fix vulnerabilities with AI. Runtime Protection Agent – Protect applications, APIs, and AI agents in production.

Control AI spending across your organization with Harness Cost Management Agent's AI User Budgets. In this demo, see how Harness helps teams set, monitor, and enforce AI spending limits across tools like Claude, Cursor, and Amazon Bedrock, all from one centralized control plane. What you'll learn: Set weekly AI spending budgets for users and teams Track AI consumption across multiple tools and models.

Vibe coding makes building applications easier than ever. But how do you take an AI-generated app and safely deploy it to production? In this demo, see how Harness brings Vibe Mode to the enterprise, allowing anyone to deploy applications while automatically applying your organization's security policies, governance, compliance requirements, and deployment configurations. See how Harness enables teams to.

AI agents just changed the speed of cyberattacks. Are security teams ready? In a massive AI-orchestrated cyberattack, hundreds of autonomous AI agents exploited vulnerabilities in PaperCut software, compromising 440 servers across 395 organizations in 48 countries. But the bigger question isn't how these attacks happened. It's how human security teams are supposed to respond when attacks move faster than they can react.

AI Is Writing More Code. So Why Aren't Teams Moving Faster? AI can generate 10x, 100x, or even 1,000x more code. But there's a problem: companies aren't necessarily delivering software any faster. As AI accelerates development, it's exposing the bottlenecks, technical debt, and outdated processes that have been slowing engineering teams down all along. So what happens when the solution isn't more developers or better AI tools, but actually smaller teams?

A Hacker Used Claude to Attack 9 Banks. This Is Just the Beginning. A hacker reportedly used Claude Code and an open-source AI penetration testing agent to attack nine South Korean banks. But the most surprising part? The AI-assisted attack also helped investigators identify the suspect. Is this the beginning of a new era of AI-powered cybercrime, where attackers can launch sophisticated attacks with fewer skills and resources?

AI can write code. But can it actually ship it? The Harness Software Delivery Agent helps automate the entire software delivery process, from building and testing code to provisioning infrastructure, deploying changes, and troubleshooting failures. All while following your team's approvals, policies, and guardrails. AI helps you write code. Harness helps you ship it.

Where is all your cloud and AI spending going? Harness Cost Management Agent helps companies track, understand, and reduce spending across cloud infrastructure, AI models, tokens, coding assistants, and AI agents. See who's driving costs, identify wasted spend, and get AI-powered recommendations to optimize your budget or automatically take action. It's not just about seeing your bill. It's about understanding what's driving it and how to reduce it.

Where is all your AI spend going? From AI coding tools and LLM tokens to autonomous AI agents, understanding what you're spending and what you're getting in return is becoming increasingly important. In this demo, see how **Harness AI Cost Management** gives engineering teams visibility into AI spending across developers, models, and applications, helping organizations track costs, manage budgets, and measure AI ROI.

See how Harness Database DevOps and DBmarlin work together to give you full visibility into query performance, automated deployment verification, and AI-assisted database change authoring - all inside your CI/CD pipeline. Most teams deploy database changes blind - they push a schema migration and hope nothing breaks. This demo shows a better way: DBmarlin surfaces the cost and performance of every query before and after a change, while Harness CV uses AI/ML to automatically detect regressions and block bad deployments from reaching production.