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Draft:Practical DevSecOps

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Practical DevSecOps
Founded2018
FounderMohammed A. Imran
TypePrivate
HeadquartersSan Francisco, California, U.S.
Area served
Worldwide
Websitepractical-devsecops.com

Practical DevSecOps is an online cybersecurity training platform offering hands-on courses and certifications in DevSecOps, AI Security, and Application Security. Based in San Francisco, it provides browser-based labs and practical exams focused on secure software development, threat modeling, container security, cloud-native security, and secure MLOps.

Overview

Established in 2018, Practical DevSecOps provides browser-based labs and certification exams covering secure CI/CD, software supply chain security, cloud-native hardening, and DevSecOps toolchains. Its certification exams typically span 6 to 24 hours and focus on real-world scenarios.

The company has been featured in over a dozen educational sessions hosted by the Cloud Native Computing Foundation (CNCF), demonstrating its frameworks and methodologies for AI Security, threat modeling, and secure MLOps.[1][2][3][4][5][6][7][8][9][10][11][12][13]

Courses and Certifications

Practical DevSecOps offers several certifications, including:

The platform is listed on the U.S. Department of Homeland Security’s NICCS Catalog as a DevSecOps course provider.[14]

Reception

Practical DevSecOps was included in a 2024 TechTarget article highlighting top DevSecOps training providers, alongside organizations such as Linux Foundation and SANS Institute.[15]

Its educational sessions on DevSecOps tooling, cloud-native security, and AI security have been hosted on the CNCF’s official YouTube channel, providing independent validation of its technical depth and community relevance.

Industry Relevance

Practical DevSecOps’s curriculum aligns with current trends in the cybersecurity industry, including “shift-left” security practices, supply chain risk mitigation, and AI governance. These are supported by academic literature.[16][17]

See also

  • DevSecOps
  • Secure software development lifecycle
  • Cloud-native security
  • Threat modeling
  • Infrastructure as Code
  • AI Security

References

  1. ^ CNCF, "DevSecOps at Scale," YouTube, August 2023. https://www.youtube.com/watch?v=7UkPeTZpqGY
  2. ^ CNCF, "DevSecOps Toolchain: An End-to-End Lab Demo," YouTube, April 2023. https://www.youtube.com/watch?v=ItATPPuKsiY
  3. ^ CNCF, "A Practical Guide to Threat Modeling for DevSecOps Engineers," YouTube, November 2023. https://www.youtube.com/watch?v=bMo1OtKo0d8
  4. ^ CNCF, "How to Integrate Threat Modeling into CI/CD Pipelines," YouTube, January 2024. https://www.youtube.com/watch?v=0pGPXLErwFs
  5. ^ CNCF, "Automated DevSecOps for Modern Cloud-Native Applications," YouTube, May 2024. https://www.youtube.com/watch?v=E56ksWM_jCc
  6. ^ CNCF, "Security-as-Code for Modern DevOps Teams," YouTube, July 2024. https://www.youtube.com/watch?v=cZPnFwANlCY
  7. ^ CNCF, "AI Threat Modeling for Security Engineers," YouTube, May 2024. https://www.youtube.com/watch?v=j184Av-LJvI
  8. ^ CNCF, "DevSecOps Engineer's Toolbox," YouTube, April 2024. https://www.youtube.com/watch?v=h37zp5g5tO4
  9. ^ CNCF, "Secure Software Supply Chain in DevSecOps Pipelines," YouTube, July 2024. https://www.youtube.com/watch?v=wG1M7DYHECg
  10. ^ CNCF, "DevSecOps for AI: Building Secure MLOps Pipelines," YouTube, August 2024. https://www.youtube.com/watch?v=u-GbqE87tdw
  11. ^ CNCF, "DevSecOps Test Strategy for Cloud-Native Apps," YouTube, September 2024. https://www.youtube.com/watch?v=7JpHf_Q1wWE
  12. ^ CNCF, "Kubernetes Security Essentials for DevSecOps Engineers," YouTube, September 2024. https://www.youtube.com/watch?v=fXdaPDW3Jq8
  13. ^ CNCF, "DevSecOps for Developers: Secure Coding & Shift-Left Best Practices," YouTube, October 2024. https://www.youtube.com/watch?v=Wtla6XinV_M
  14. ^ https://niccs.cisa.gov/training/search/practical-devsecops/digital-defense-certification
  15. ^ https://www.techtarget.com/searchsecurity/tip/Top-DevSecOps-certifications-and-trainings
  16. ^ Roshan N. Rajapakse et al., “Challenges and Solutions When Adopting DevSecOps: A Systematic Review,” arXiv, 2021.
  17. ^ Michael Fu et al., “AI for DevSecOps: A Landscape and Future Opportunities,” arXiv, 2024.

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