How GitLab AI is transforming DevSecOps for software development

Last night, I attended the SUSE x GitLab DevSecOps event — and it completely reshaped how I view the future of AI, development, and data security. As someone building AI solutions, I’m deeply invested in ensuring every layer of tech we develop is compliant, ethical, and data-secure — from the very first line of code to full production. Here are a few key takeaways that stood out 👇 🔹 “Shift Left” is more than a DevOps strategy — it’s a proactive mindset. Security shouldn’t be an afterthought. By integrating security measures earlier in development (shift left), vulnerabilities can be identified and resolved before they reach production — saving time, cost, and risk. 🔹 Developer fatigue is real — and it affects security. Cognitive load, context switching, and compliance demands can overwhelm teams. Building secure systems also means designing workflows that protect the people who build them. 🔹 Security and creativity can coexist. Embedding vulnerability scanning, runtime security, and compliance checks directly into the process actually empowers innovation. It’s not about slowing teams down — it’s about building trust in the technology they’re creating. For me, this event reinforced why I’m so committed to ensuring the AI tools we build (especially for healthcare or in the NDIS sector ) are protected at every level — not just functionally effective, but ethically and securely designed. Because true innovation doesn’t just move fast — it moves safely. 💡 #DevSecOps #GitLab #SUSE #CyberSecurity #AI #NDIS #Innovation #DataSecurity #Leadership #Compliance

DevOps teams drowning in alert fatigue? GitLab’s latest update is here to turn down the “noise” and turn up the signal. With the new GitLab Duo Agent Platform, AI steps in as your smart teammate, automating vulnerability triage, reducing context-switching, and surfacing only what truly matters. 🔑 Key highlights from GitLab 18.5: 🞉 Security Analyst Agent: Goes beyond basic scans. It automatically reviews vulnerabilities, applies intelligent rules, and filters out the noise so your team can zero in on exploitable risks. 🞉 GitLab Duo Planner: Supports product managers by summarizing stale backlogs, identifying duplicates, and recommending what to prioritize next. This isn’t just AI chat, it’s intelligent automation built to elevate developer productivity and strengthen security focus. 🤖 Could AI agents finally deliver the signal-to-noise balance DevSecOps teams have been waiting for? #CodeArck #DevSecOps #AI #GitLab #Automation #Cybersecurity #SoftwareDevelopment #DevOps #AIAutomation

🔧 𝟖 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐒𝐡𝐞𝐥𝐥 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐒𝐮𝐩𝐞𝐫𝐜𝐡𝐚𝐫𝐠𝐞 𝐘𝐨𝐮𝐫 𝐋𝐢𝐧𝐮𝐱 𝐂𝐨𝐦𝐦𝐚𝐧𝐝 𝐋𝐢𝐧𝐞 As I dive deeper into cybersecurity and AI-enabled workflows, this article from How-To Geek really struck a chord. It shows how mastering shell functions isn’t just “nice to have” — it’s a power-move in tech ops. 🔍 🛠️ 𝐓𝐡𝐞 𝟖 𝐆𝐚𝐦𝐞-𝐂𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐒𝐡𝐞𝐥𝐥 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬: 1. alias – Create custom shortcuts to shorten long commands and boost speed. (Wikipedia) 2. func_name () { … } – Define a function for repetitive tasks (e.g., backup, log cleaning) so you type less, do more. 3. try() { … ; } – Build error-handling wrappers around commands to enable resilience. 4. debug() { … } – Wrap complex chains and add logging/output for better traceability. 5. timer() { … } – Measure performance of commands or workflows (especially useful when tuning scripts). 6. confirm() { … } – Add interactive prompts in your scripts to prevent mishaps (great for sysadmin operations). 7. spinner() { … } – Visual feedback during longer shell operations (keeps you in control and aware). 8. cleanup() { … } – Define a function to wrap up your scripts: remove temp files, kill leftover processes, reset environment. 𝑻𝒉𝒆𝒔𝒆 𝒂𝒓𝒆𝒏’𝒕 𝒋𝒖𝒔𝒕 𝒄𝒐𝒎𝒎𝒂𝒏𝒅𝒔. 𝑻𝒉𝒆𝒚 𝒃𝒆𝒄𝒐𝒎𝒆 𝒕𝒐𝒐𝒍𝒔 𝒊𝒏 𝒚𝒐𝒖𝒓 𝒕𝒐𝒐𝒍-𝒃𝒆𝒍𝒕 𝒇𝒐𝒓 𝒂𝒖𝒕𝒐𝒎𝒂𝒕𝒊𝒐𝒏, 𝒔𝒆𝒄𝒖𝒓𝒊𝒕𝒚 𝒉𝒂𝒓𝒅𝒆𝒏𝒊𝒏𝒈, 𝒔𝒚𝒔𝒕𝒆𝒎 𝒎𝒐𝒏𝒊𝒕𝒐𝒓𝒊𝒏𝒈, 𝒔𝒄𝒓𝒊𝒑𝒕𝒊𝒏𝒈 𝒆𝒙𝒄𝒆𝒍𝒍𝒆𝒏𝒄𝒆. 🎯 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 𝐭𝐨 𝐂𝐲𝐛𝐞𝐫𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 + 𝐀𝐈 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 * In cybersecurity, automation is key: building scripts means you can respond faster, detect anomalies, and recover quicker. * With AI pipelines or network-monitoring platforms, you often run repeated command-sequences—inserting functions means reliability and fewer errors. * Shell functions give you modularity: break your workflows into reusable, auditable pieces (important for compliance, logging, transparent operations). * Ultimately, the command line remains the most direct, least-obscured interface to your system. These functions help you stay at that level of control. #Linux #ShellFunctions #Automation #DevOps #Cybersecurity #AI #CommandLine #TechOps

In today's dynamic landscape, true digital transformation isn't just about adopting new tech; it's about engineering resilient digital foundations that thrive under pressure and adapt seamlessly to change. 🏗️ At Vision Binary, our passion lies in crafting those robust systems. We believe the differentiator isn't just what you build, but how it's integrated, secured, and scaled to become an undeniable competitive advantage. We're talking about: Intelligent Automation: Leveraging AI to eliminate bottlenecks, not just shift them. Adaptive Architectures: Designing Full-Stack solutions that bend, not break, with growth. Proactive Security: Embedding cybersecurity from conception, not as an afterthought. Fluid Operations: Implementing DevOps strategies that make innovation a continuous flow. This isn't just about code; it's about building your business's future infrastructure with precision and foresight. What's the most critical piece of your digital foundation that needs reinforcing right now? We'd love to hear your insights. 👇 #VisionBinary #DigitalTransformation #TechStrategy #ResilientTech #EnterpriseSoftware #AIIntegration #DevOps #Cybersecurity #CustomSolutions #FutureOfWork

DevSecOps in 2025: security can’t wait until deployment. Development cycles are faster than ever, and attackers are adapting just as quickly. That’s why DevSecOps has moved from “nice to have” to “non-negotiable.” At CybeCloud, we’re seeing three big shifts across leading teams: 1. AI-driven defense Security tools are now using machine learning to spot and fix vulnerabilities before code even hits production. 2. Built-in security The “shift-left” mindset is here to stay. Security checks, compliance policies, and access rules are written as code and automated in CI/CD pipelines. 3. Cloud-native and zero trust With microservices, containers, and distributed systems, the perimeter is gone. Zero trust and supply chain security are now the new foundations of resilience. DevSecOps isn’t slowing teams down, it’s how they move faster, safer, and smarter. That’s the approach we take at CybeCloud. https://www.cybecloud.com #DevSecOps #CloudSecurity #ZeroTrust #AIinSecurity #CybeCloud #SecureByDesign #CyberResilience #CloudComputing #Automation #InfoSec #DevOps #CyberStrategy #DigitalTransformation #SoftwareSecurity #SecurityAutomation #MachineLearning #SupplyChainSecurity #ContinuousDelivery #AppSec #CloudNative

Day 26 of #Ones2Watch is Karambit.AI 🔪🧩 Karambit.AI, an encored feature in our #Ones2Watch, is redefining software assurance by moving security from static analysis to behavioral intelligence. Instead of scanning code for known flaws, it models how software behaves while it verifies logic paths, data flows, and functional intent before deployment. It’s a shift from asking “is this code clean?” to “will this code act as intended?” which is a perspective few have mastered, and none have scaled this elegantly. 💡 Why They Rock: Founded by Andrew Hendela and Eric Lee, Karambit.AI was built by engineers who understand that supply chain security isn’t just about provenance. It’s about predictability. Their platform, now deployed by major supply chain industry players, maps how code will operate once live, identifying hidden functionality, privilege misuse, and anomalous logic early in the release cycle. It’s behavioral assurance built for the pace of continuous integration, where prevention and precision must coexist. What Sets Them Apart: Karambit.ai applies runtime-level analysis to pre-deployment workflows, building a “bill of behaviors” that exposes how new versions of software will interact in production. It traces execution paths, correlates configuration states, and identifies high-impact deviations, and all of this BEFORE the first deploy. For organizations balancing speed and assurance, this delivers what traditional testing can’t, which is the essential provable trust in how software will perform under challenging conditions. From our viewpoint, every line of code tells a story and Karambit.ai just makes sure it’s the right one. It signals where software security is heading, we're inspired, and we can't wait to see what they're up to next. That’s why they’re today’s #One2Watch. 💙🤩 #Ones2Watch #Cybersecurity #SoftwareAssurance #BehavioralSecurity #SupplyChainIntegrity #DevSecOps #SecureSoftware #SecurityEngineering #SoftwareIntegrity #OperationalResilience #SentinelBlue #Karambit.AI

DevSecOps Isn't a Feature. It's Your Foundation. In today's landscape, baking security in after the fact is like building a car and adding airbags as an afterthought. It's too late. This is why we live by the DevSecOps mindset at ByteChrome Technologies LLC. It’s the practice of integrating security into every phase of the software development lifecycle—from initial design and code to deployment and monitoring. It’s not a separate phase; it’s a shared responsibility. What this looks like in practice: · Shift-Left Security: Identifying vulnerabilities in the code before it even reaches production. · Infrastructure as Code (IaC) Security: Scanning Terraform or CloudFormation templates for misconfigurations. · Continuous Compliance: Automated checks against security benchmarks (like CIS) throughout the CI/CD pipeline. · Runtime Protection: Monitoring deployed applications for anomalous behavior. For us, this isn't optional. It’s the only way to build the secure, resilient, and trustworthy platforms that our clients' AI Agents and digital workforces run on. Security isn't a gate. It's the guardrail that lets you move fast with confidence. How are you integrating security into your development lifecycle? #DevSecOps #CloudSecurity #CyberSecurity #DevOps #AI #SecureByDesign #ByteChrome #ByteChromeTechnologies #Bytechrome

This isn't just a post—it's our engineering manifesto. At ByteChrome, we believe you can't build true intelligence without unshakable security. This DevSecOps foundation is what allows our clients to trust their most critical workflows to our AI Agents. #TechLeadership #SecurityFirst #bytechrome #ByteChrome #Bytechrome

Embedding security at the core of everything 🛠 The future of DevSecOps doesn't merely sprinkle security at the end—it bakes it in, layers deep, throughout the entire software development lifecycle. Say goodbye to security as an afterthought and hello to shared responsibility, an intrinsic part of DevOps culture. Here's what Iliia Karin envisions: 🟠 Make security a core element, present in every project and infrastructure layer from the start 🟠 Foster collaboration between development, operations, and security teams to snuff out vulnerabilities before they become fiascos 🟠 Automate security testing in CI/CD pipelines for continuous vigilance and streamlined defenses 🟠 Reform cultural narratives to see security as a catalyst for innovation, not a hindrance 🟠 Leverage AI to ratchet up threat detection and turbocharge remediation processes 🟠 Instill a “security-first” mentality, pushing developers and engineers to take charge of security, trimming down risks in an era of digital transformation and cloud-native complexity Karin's vision isn't just talking points—it's a clarion call aligning with 2025 trends. Imagine shift-left security, automated testing, and AI-driven vigilance making DevSecOps not just preventive, but a driver of speed and continuous delivery. A tall tale or tomorrow's standard? Challenge your assumptions: How deeply is security embedded in your development journey? 🤔 #DevSecOps #SecurityFirst #AIinSecurity #DigitalTransformation #Collaboration #Automation #Innovation 🔗https://lnkd.in/dDC5i5n3 👉 Post of the day: https://lnkd.in/dACBEQnZ 👈

GitLab’s “AI Paradox” — faster coding but slower delivery due to compliance and security challenges The “AI Paradox” is here — and it’s hitting DevSecOps teams hard. GitLab’s new report reveals that while AI tools are speeding up code generation, they’re also introducing new friction — compliance, governance, and tool fragmentation are eating away at those gains. Developers are now losing 7 hours per week to inefficiencies from juggling multiple tools and managing AI-generated outputs. Even more concerning: 70% say AI has made compliance harder. That’s not surprising. More code doesn’t mean safer code. Security, traceability, and responsible use of AI tools need to evolve with this new reality. Here’s the shift we’re seeing: 🔐 Security is moving from a post-check to an AI-integrated process. ⚙️ Governance frameworks are becoming essential, not optional. 🧩 Platform engineering is emerging as the bridge between AI productivity and DevSecOps discipline. If AI is our new teammate, it’s time we onboard it responsibly. #SecureCodeHub #DevSecOps #AICompliance #AIGovernance #CyberSecurity #SecureDevelopment