DevOps needs to go away. It is lasting longer than I thought and that is bad. DevOps is the way IT should just be, successful IT. DevOps is like saying we should be good people and care for each other. It is just something we all know we should do but some do it great and others are bad at it. IT should just be better by automate everything, have empathy and continuous improvement. I am pationate about this because DevOps is associated with app dev and ops but all IT should be run this way. So yes, DevOps should die and IT should just get its act together and be successful.
As software delivery accelerates and attack surfaces grow, traditional DevSecOps practices are being pushed to their limits. The integration of artificial intelligence (AI) into DevSecOps workflows is not just a trend—it’s a strategic imperative. AI is driving a seismic shift in how we manage code quality, automate security, respond to threats, and enable secure innovation at scale. In this post, we’ll explore the key ways AI is improving DevSecOps and why forward-thinking organizations are embedding it deeply into their pipelines. 1. Proactive Threat Detection and Response In modern CI/CD pipelines, code moves fast—sometimes too fast for human eyes to catch every vulnerability or misconfiguration. AI helps shift security left and right by: Analyzing code and dependencies with natural language processing and ML to detect hidden vulnerabilities, insecure APIs, or anomalous changes during commits. Real-time anomaly detection in production environments using AI-powered o...
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