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Unlocking the Potential of AI/ML in DevSecOps: Effective Strategies and Optimal Practices

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  • Nicolas Guzman Camacho

Abstract

In the dynamic realm of technology, the fusion of Artificial Intelligence (AI) and Machine Learning (ML) with DevSecOps practices stands out as a pivotal catalyst for bolstering security, efficiency, and innovation in software development and deployment processes. This document explores effective strategies and optimal practices for maximizing the capabilities of AI/ML within the DevSecOps framework. Commencing with an overview of DevSecOps principles and the integral role of AI/ML, the document delves into specific tactics such as automated threat detection, predictive analytics for vulnerability management, and intelligent automation for continuous integration and deployment. Additionally, it addresses prominent challenges and considerations associated with the integration of AI/ML in DevSecOps, including data privacy, algorithm transparency, and ethical implications. Through illuminating case studies and real-world illustrations, the document showcases how organizations can leverage AI/ML technologies to streamline their DevSecOps pipelines, mitigate security risks, and cultivate a culture of ongoing enhancement. By embracing these strategies and adhering to best practices, organizations can harness the full potential of AI/ML to propel innovation, fortify resilience, and enhance agility in their DevSecOps endeavors.

Suggested Citation

  • Nicolas Guzman Camacho, 2024. "Unlocking the Potential of AI/ML in DevSecOps: Effective Strategies and Optimal Practices," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 106-115.
    • Handle: RePEc:das:njaigs:v:3:y:2024:i:1:p:106-115:id:72
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    Citations

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    Cited by:

    1. Hassan Rehan, 2024. "AI-Driven Cloud Security: The Future of Safeguarding Sensitive Data in the Digital Age," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 1(1), pages 132-151.
    2. José Gabriel Carrasco Ramírez, 2024. "Constructing Executing and Overcoming Challenges in Distributed AI Systems: A Study of Federated Learning Framework," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 197-216.
    3. Sohana Akter, 2024. "Harmonizing Compliance: Coordinating Automated Verification Processes within Cloud-based AI/ML Workflows," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 292-302.
    4. Nicolas Guzman Camacho, 2024. "The Role of AI in Cybersecurity: Addressing Threats in the Digital Age," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 143-154.
    5. Jeff Shuford, 2024. "Examining Ethical Aspects of AI: Addressing Bias and Equity in the Discipline," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 262-280.
    6. FNU Jimmy, 2024. "Cyber security Vulnerabilities and Remediation Through Cloud Security Tools," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 129-171.
    7. Amaresh Kumar, 2024. "Cybersecurity Threat Detection using Machine Learning and Network Analysis," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 1(1), pages 124-131.
    8. Md. Mafiqul Islam, 2024. "Exploring the Impact of Artificial Intelligence in Healthcare," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 228-238.
    9. José Gabriel Carrasco Ramírez & Md.Mafiqul Islam, 2024. "Navigating the Terrain: Scaling Challenges and Opportunities in AI/ML Infrastructure," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 241-250.
    10. Imran Khan, 2024. "Real-Time RIC/RAN Intelligent Controller: A Software Component for Open RAN Architecture," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 207-216.
    11. Damián Tuset Varela, 2024. "Navigating Cyber Diplomacy in the Governance of Emerging AI Technologies: Lessons from Transatlantic Cooperation," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 172-180.
    12. Muhammad Umair, 2024. "Protecting Data Access Liabilities in Cloud Computing," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 323-340.
    13. Samadrita Ghosh, 2024. "Ensuring Compliance Integrity in AI ML Cloud Environments: The Role of Data Guardianship," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 303-322.
    14. Harish Padmanaban, 2024. "Privacy-Preserving Architectures for AI/ML Applications: Methods, Balances, and Illustrations," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 235-245.
    15. Hassan Rehan, 2024. "Revolutionizing America's Cloud Computing the Pivotal Role of AI in Driving Innovation and Security," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 239-240.
    16. Md. Rashed Khan, 2024. "Role of AI in Enhancing Accessibility for People with Disabilities," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 281-291.
    17. Harish Padmanaban, 2024. "Machine Learning Algorithms Scaling on Large-Scale Data Infrastructure," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 3(1), pages 171-196.

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