Sam Naqvi

Cloud computing security blind spots created by AI stem from the complexity of cloud infrastructure and unique challenges AI introduces in this environment. These blind spots can reveal vulnerabilities that traditional security measures such as strong governance, transparent AI model development, and robust data management practice may not fully address. Here, I offer some suggestions

Faster & Error-Free Deployments – AI can detect and prevent misconfigurations in IaC scripts before deployment – It enables automated remediation, reduces human intervention which results in minimizing downtime.Intelligent Automation & Optimization – AI can analyze historical deployment data to recommend most efficient configs – It automates Performance tuning, ensures optimal resource allocation which contributes

Fairness and Biased Mitigation – Devs should work on techniques to detect and minimize bias, such as: re-sampling data, adversarial debiasing, & any fairness constraints in model training. AI systems should be inclusive and not propagate biases present in training data or Devs assumptionsExplainability & Transparency – Algorithm should be understandable to Developers (Devs), stakeholders,

Improved Productivity – It automates repetitive tasks e.g. report writing, email drafting, & documentation, saves time & effortContent Generation with Enhanced Creativity – GenAI can generate text, images, code, and music, enables businesses & creative professionals to automate content creation.Automates Software Development – Assists in code generation, bug fixing, and documentation, accelerates software development cyclesAdvanced