𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝘃𝘀 𝗔𝗜 𝗔𝘂𝗱𝗶𝘁𝘀 𝗳𝗼𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗧𝗲𝗮𝗺𝘀

𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝘃𝘀 𝗔𝗜 𝗔𝘂𝗱𝗶𝘁𝘀 𝗳𝗼𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗧𝗲𝗮𝗺𝘀

Software audits are a balance. You have rules. You have speed. Old audits use spreadsheets and manual samples. This speed fails DevOps.

Traditional audits focus on:

• Quarterly reviews
• Manual sampling
• Human judgment
• Trusted frameworks

The downsides:

• Misses most code changes
• Finds issues too late
• Slows down engineers

AI audits change the process:

• Continuous monitoring
• 100% coverage
• Real-time alerts
• Scales with microservices

The downsides:

• Needs training data
• Some false alarms
• Setup takes time

Most big teams use a hybrid model:

• AI monitors every sprint.
• Humans decide the risk.
• Traditional methods satisfy regulators.

Choose Traditional if:

• You deploy monthly or less.
• Your team has under 20 engineers.
• Regulators forbid AI.

Choose AI if:

• You deploy constantly.
• You manage many microservices.
• You have strong DevOps logs.

Choose Hybrid if:

• You need speed and compliance.
• You scale fast.

Match your audit to your speed.

Source: https://dev.to/dorjamie/traditional-vs-ai-enhanced-audit-comparing-approaches-for-software-teams-5f74 Optional learning community: https://t.me/GyaanSetuAi