Forbes March 11, 2025
The evolving demands for agile, secure and scalable software have ushered in an era where DevSecOps pipelines require a deeper integration of intelligence. Artificial intelligence (AI) and machine learning (ML) are reshaping this domain, offering new approaches to streamline security, enhance automation and mitigate risks.
Redefining The DevSecOps Paradigm
DevSecOps unites development, security and operations into a cohesive workflow, embedding security from the initial stages of development. Unlike older approaches that treat security as a bottleneck toward the end of the process, DevSecOps aims to infuse resilience throughout the lifecycle. It’s about transitioning to a preventive mindset—addressing risks before they escalate.
Infusion Of AI And ML: Key Contributions
Revolutionizing Threat Identification
AI-powered systems continuously monitor application...
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