In the field of QA, resisting AI is counterproductive. It manifests as clinging to outdated methods like record-and-replay tools or insisting on manual scripting for every test. Spreading fear, uncertainty, and doubt (FUD) about AI-generated results is also a form of resistance.
DevSecOps, an approach by the DevOps community, aims to integrate security into the development lifecycle. This is crucial because businesses cannot afford to release unreliable or insecure applications. Security must be considered from the outset, as securing an application is as important as building it.
With the increasing value of data, the threat of theft and misuse grows. Hackers continually try to outmaneuver defenders, making application security a persistent challenge.
Secrets are vital for integrating infrastructure with databases and SaaS services. Tools like Doppler's developer-first security platform are designed to help teams manage, orchestrate, and govern secrets across any environment, enhancing security.
Securing an application is just as important as building it in the first place.
Author's summary: Mastery of AI and security is key to success.