Artificial Intelligence (AI) can be a valuable tool for DevOps teams to optimize their processes, improve efficiency, and automate repetitive tasks. According to Encora, “40% of DevOps teams will be using application and infrastructure monitoring apps that have integrated artificial intelligence for IT operations platforms by 2023”.

DevOps teams can take advantage of Artificial Intelligence in a number of ways, such as:

  • Automating repetitive tasks and enhancing the accuracy of quality assurance processes
  • Analyzing testing data, predicting potential defects, and prioritizing test cases for optimal coverage
  • Automatically provisioning and configuring resources, deploying applications, monitoring infrastructure, and identifying potential issues before they cause downtime
  • Increasing the speed at which security tests can be performed, reducing the threat vector identification times, and increasing the effectiveness of false-positive identifications
  • Making developers more effective by helping them identify errors in their code before it goes to production

AI is fundamentally changing the way we approach DevOps. One of these changes being seen across the board is more focus on security, specifically building that security in from the ground floor.

AI can also play a role in managing the critical lack of trained cybersecurity experts many companies are now facing. By generating customized secure code patterns that fix any vulnerability that’s been detected.