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For Cybersecurity Awareness Month, check out this guide on how to transform federal software development with AI agents that accelerate delivery, reduce costs, and modernize legacy systems for mission success. Step 1️⃣: Build foundational AI proficiency Step 2️⃣: Establish governance frameworks and compatibility standards Step 3️⃣: Deploy and expand AI agent capabilities strategically Step 4️⃣: Enhance performance through monitoring and training See comments below for the guide to learn more ⬇️

GitLab 18.5 introduces the Security Analyst Agent. Ask "Which vulnerabilities are most critical?" in natural language and get intelligent triage with exploit analysis, reachability data, and automated issue creation. Watch the Security Analyst Agent help prioritize critical vulnerabilities for remediation in minutes, saving hours of manual investigation time. GitLab 18.5 helps turn security noise into intelligent prioritization.

"Remove complexity and empower developers" aka iterate —a principle Kelsey Hightower has championed throughout his career, and one of our CREDIT values at GitLab. Catch Kelsey Hightower on the next episode of The GitLab Developer Show, 28 October. We’ll be chatting all things AI and GitLab’s presence at KubeCon NA 2025, including our hands-on AI workshop. Register for the live event: https://lnkd.in/gedx6ANv ✨ What you'll build: 1. Cloud-native applications with AI assistance 2. Complete CI/CD pipelines to Kubernetes 3. Real features using GitLab's Issue-to-MR flow 📍 Atlanta | Nov 10 👉 Register for our AI workshop: https://lnkd.in/gBiQs_2G

At GitLab, we put the “Sec” in DevSecOps. In this episode of Fed Tech Podcast, Bob Stevens touches on why this is one of the most important parts of the software development lifecycle.

Security shouldn’t be a bandage fix, but instead a core practice implemented from the start. 🩹 Don’t worry, Fernando Diaz's got you covered! He dives into how GitLab is empowering developers to build applications that are secure from the start.

GitLab 18.5 is live! 🚀 57 improvements across the platform, powered by 278 community contributions. From AI agents to security enhancements, this release has something for every team. New in GitLab 18.5: 🤖 AI agents that understand your workflow  🔒 Security tools that prioritize real risk  📦 Visual registry management  🏠 Personalized homepage Full release notes in the comment below 👇

We have a very special guest joining us for the next episode of The Developer Show…✨ None other than distinguished software engineer and developer Kelsey Hightower. Kelsey will be joining us to talk about: 1️⃣ GitLab 18.5 Release 2️⃣ GitLab’s Upcoming AI Workshop (details in comment) 3️⃣ Building AI systems Register for your reminder to watch: https://lnkd.in/gedx6ANv

GitLab 18.5 brings AI agents into your everyday workflow, security insights that cut through the noise, and a reimagined interface that keeps your AI teammate always in view. Plus: Valuable new platform security and DevOps features. This is the future of software development. Watch the full video to see it in action.

🚀 GitLab 18.5 is here: AI intelligence that moves development forward GitLab 18.5 brings AI deeper into your everyday workflow — turning noise into actionable insight. With new agents, a unified Duo Chat panel, and smarter security analysis, teams can stay in flow while GitLab automates the busywork. What's new: ✨ Persistent Duo Chat with a redesigned panel-based UI 🤖 Security Analyst Agent that automates vulnerability triage in seconds 📋 Duo Planner that transforms backlog chaos into strategic clarity 🔒 Static Reachability Analysis to identify truly exploitable vulnerabilities 🔐 Secret Validity Checks that distinguish active credentials from expired ones This isn't just about new features; it's about an AI-native platform that keeps you in control. Read more in our blog: https://lnkd.in/gzmiuM6m

GitLab CISO Josh Lemos breaks down how we approach AI governance, emphasizing the importance of working with vendors to ensure security requirements are baked into AI tools from the start. GitLab’s AI Transparency Center also helps customers understand exactly which model powers each feature so they can make informed decisions about how Duo accesses data. Key takeaway: AI governance starts with understanding how AI will shape risk and your attack surface. Then, work in partnership with vendors to build the right security assurances for your organization and customers.