NGINX’s Post

VentureBeat ran a great summary of the 2024 Forrester State of Application Security report, which leans into the need to better integrate security into software development processes. More specifically, recommendations include driving toward DevSecOps and hardening software supply chain security, with secrets detection/remediation as a core requirement. "One reason application security gaps are getting wider is that DevOps teams are racing to beat deadlines without having security core to the SDLC process and integrated into CI/CD frameworks. That challenge is exacerbated by gen AI chatbots and tools proliferating, forcing the need for new governance, risk and security frameworks for agile/DevOps to deliver safe, secure, and trusted code and apps." https://lnkd.in/e4vdHKC4 #DevSecOps #ASPM #SSCS #AppSec

This week Legit Security launched new secrets scanning capabilities. Our CTO Liav Caspi spoke with Michael Vizard of DevOps.com about what makes our approach unique: ➡ Applying AI to reduce the false positives and noise often associated with secrets detection  ➡ Scanning for secrets in all development assets, not just source code  ➡ Enabling preventative guardrails to stop secrets from being exposed before code is pushed    See the link to the full article in the comments.

Shattering Myths: The Real Talk on DevSecOps "DevSecOps" often buzzes around the tech community, but what does it truly entail? Brittany Greenfield, CEO of Wabbi, takes the stage in our latest episode to break down the misconceptions surrounding DevSecOps. Discover how AI and machine learning are pioneering a new era of application security posture management, ensuring that security is a foundational aspect of every development phase. Brittany shares invaluable insights into bridging the gap between developers and security teams.  Join us for a compelling discussion that promises to enlighten and challenge the status quo of DevOps security. 👇👇👇 https://lnkd.in/ecrxwrCe #ai #aiintesting #aipoweredsecurity #appilcationsecurity #ml #machinelearning #devops #devsecops #security #applicationvulnerabilities #breaches #softwaredevelopment #testguildpodcast

🌟𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐃𝐨𝐜𝐤𝐞𝐫: 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐌𝐨𝐝𝐞𝐫𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭🌟 In today's fast-paced tech landscape, containerization is essential. Docker has transformed how we develop, ship, and run applications. Here are top best practices every developer should embrace: 1. 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐦𝐚𝐠𝐞𝐬: Use verified images from Docker Hub for enhanced security. Opt for minimal base images like Alpine. 2. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐈𝐦𝐚𝐠𝐞 𝐒𝐢𝐳𝐞: Employ multi-stage builds and clean up unnecessary files. Smaller images save space and reduce deployment times. 3. 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐘𝐨𝐮𝐫 𝐈𝐦𝐚𝐠𝐞𝐬: Tag images with specific version numbers (e.g., myapp:1.0) for clarity and consistency. 4. 𝐒𝐞𝐜𝐮𝐫𝐞𝐥𝐲 𝐌𝐚𝐧𝐚𝐠𝐞 𝐒𝐞𝐜𝐫𝐞𝐭𝐬: Avoid hardcoding sensitive info. Use Docker secrets or environment variables for credentials. 5. 𝐔𝐭𝐢𝐥𝐢𝐳𝐞 .𝐝𝐨𝐜𝐤𝐞𝐫𝐢𝐠𝐧𝐨𝐫𝐞: Keep your build context clean by excluding unnecessary files. 6. 𝐑𝐮𝐧 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 𝐚𝐬 𝐍𝐨𝐧-𝐑𝐨𝐨𝐭: Create non-root users to improve security and minimize vulnerabilities. 7. 𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐋𝐚𝐲𝐞𝐫 𝐂𝐚𝐜𝐡𝐢𝐧𝐠: Optimize Dockerfile order to enhance layer caching; frequently changing commands should be last. 8. 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐇𝐞𝐚𝐥𝐭𝐡 𝐂𝐡𝐞𝐜𝐤𝐬: Use HEALTHCHECK instructions for proactive application monitoring. 9. 𝐏𝐞𝐫𝐬𝐢𝐬𝐭 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐕𝐨𝐥𝐮𝐦𝐞𝐬: Ensure important data remains intact with Docker volumes. 10. 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐀𝐥𝐥𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Set CPU and memory limits to prevent excessive resource consumption. 11. 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐞 𝐂𝐮𝐬𝐭𝐨𝐦 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬: Use custom networks for better security and communication efficiency. 12. 𝐄𝐬𝐭𝐚𝐛𝐥𝐢𝐬𝐡 𝐋𝐨𝐠 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Choose appropriate log drivers and consider centralized logging solutions. 13. 𝐀𝐝𝐨𝐩𝐭 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬: Regularly update base images, minimize privileges, and assess vulnerabilities. 14. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐰𝐢𝐭𝐡 𝐂𝐈/𝐂𝐃: Integrate Docker builds into CI/CD pipelines to streamline development processes. 15. 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭s 𝐚𝐧𝐝 𝐂𝐨𝐦𝐦𝐞𝐧𝐭s: Well-documented Dockerfiles enhance collaboration and maintenance. 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐢𝐧𝐠 𝐭𝐡𝐞𝐬𝐞 𝐛𝐞𝐬𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐟𝐨𝐬𝐭𝐞𝐫𝐬 𝐚 𝐫𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐭 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐭𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧. 🌍✨ 💡 A big shoutout to my mentor, Sivakumar Reddy Mettukuru! Your ability to simplify complex concepts has been a game-changer for me. Thank you for your unwavering support—your mentorship has inspired me to reach new heights! Let’s continue to transform the tech landscape together! #Docker JoinDevOps LinusCode #Containerization #DevOps #BestPractices #Mentorship #Innovation #TechCommunity

Snyk released a new edition of its application security posture management tool for assessing application risks. The tool provides more context into how code has been written and its role within the application environment. Find out more about the new tool and why Snyk is working with Google here: https://lnkd.in/eZP4kkrr #ASPM #AppSec #DevSec #Code #DevOps #Snyk #Tech #Google #AI

Cycode just introduced GenAI capabilities to their ASPM platform. The addition is aimed at enhancing DevSecOps teams' ability to easily pinpoint the root cause of vulnerabilities in complex distributed computing environments. https://bit.ly/3TdPXZT #AI #DevSecOps

AI is transforming DevSecOps, bringing immense value to every stage of the software development cycle. By automating tasks like code patching, testing, and flaw detection, AI frees developers to focus on strategic, high-value activities. This shift not only enhances security but also speeds up the delivery of secure, high-quality software. 💻✨ Integrating security early in the development process ensures fewer vulnerabilities and reduced breaches. The result? Faster time to market and seamless collaboration between development, operations, and security teams. It's a game-changer for businesses aiming to deliver value without compromising on security. How do you see AI shaping the future of DevSecOps in your projects? 💬 #DevSecOps #AI #CyberSecurity #TechInnovation #SoftwareDevelopment

The Department of Defense is changing the game with its new Software Factory Ecosystem, aiming to make creating and managing software faster and safer. To learn how this could impact your work and give you an edge, check out the details and benefits at [Diversified Outlook Group](https://lnkd.in/eSPaqwNi #AI #expertsatyourservice #businessstrategy #Strategicexcellence #Corporateadvisory

AI in software development offers efficiency, but at what cost to privacy and data security? According to GitLab's State of AI in Software Development report, 83% of developers see AI as crucial, while 79% also worry about data and IP security. What steps are you taking to ensure transparency and security in your AI-driven DevOps practices? DevOps1 #DevOpsStrategy #AIIntegration #SecurityMeasures https://lnkd.in/g3eN4ff9

In today's rapidly evolving tech landscape, the integration of cybersecurity into AI software development stands as a foundational pillar for innovation. My latest exploration delves into the profound insights shared by Andrew Martin at Open Source London, focusing on the crucial AI Software Development Lifecycle within Kubernetes environments. Key takeaways include: - The imperative of embedding security from the beginning in AI development. - The innovative collaboration between ControlPlane and Scott Logic, aiming to deliver solutions that are both cutting-edge and secure. - Addressing both the innovations and cybersecurity - Integrating Cybersecurity into AI Software Development on Kubernetes: Key Takeaways from Andrew Martinallenges unique to AI systems. - Advocating for an AI bill of materials (AI BoM) to ensure transparency and traceability in AI model development. I extend my sincere gratitude to FINOS, Scott Logic and the LSEG (London Stock Exchange Group) for organizing these insightful talks and providing the venue. Their efforts in bringing the tech community together to discuss such pivotal topics are truly commendable. For those interested in a deeper dive into these insights, I encourage you to read my article "Integrating Cybersecurity into AI Software Development on Kubernetes: Key Takeaways from Andrew Martin" on Dev.to: https://lnkd.in/er6Pb8QN Additionally, if you have the time and curiosity to watch Andrew Martin's enlightening 42:45 talk at Open Source London, you can find the video "Andrew Martin // AI Software Development LifecycIntegrating Cybersecurity into AI Software Development on Kubernetes: Key Takeaways from Andrew Martinle on Kubernetes // Open Source London]" here: https://lnkd.in/eUtBGn6C It's an invaluable resource for those looking to understand the critical interplay between AI development and cybersecurity. #AISecurity #DevSecOps #KubernetesAI #CybersecurityInnovation