𝗔𝗜 𝗔𝘂𝗱𝗶𝘁𝘀 𝗜𝗻 𝗬𝗼𝘂𝗿 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲

𝗔𝗜 𝗔𝘂𝗱𝗶𝘁𝘀 𝗜𝗻 𝗬𝗼𝘂𝗿 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲

Internal audits slow down your shipping speed. Traditional audits happen every few months. They do not match the speed of daily deployments.

Put audit intelligence into your build automation. This catches security gaps before code reaches production.

First, pick your audit focus:

• Security patterns.
• Infrastructure code.
• Code quality metrics.
• Deployment reliability.

Next, give the AI context:

• Commit histories.
• Build logs.
• Cloud metrics.
• Past audit findings.

Set up a workflow to run checks on every pull request.

• Block merges for critical risks.
• Review medium risks in sprint retros.
• Let AI suggest fixes for low risks.

This turns audits into a continuous loop. It reduces audit prep time by 60%. Your security improves.

Source: https://dev.to/jasperstewart/how-to-implement-generative-ai-for-internal-audit-in-your-cicd-pipeline-4pbl Optional learning community: https://t.me/GyaanSetuAi