How to improve DevOps security with AI — Tech Expert

A United Kingdom-based Nigerian IT expert, Adebayo Samuel, has stated that the integration of Artificial Intelligence (AI) into DevOps practices is becoming essential for strengthening security in today’s fast-paced world of software development.

In a statement made available to newsmen, Samuel emphasised that AI plays a key role in identifying vulnerabilities, predicting threats, and automating security processes throughout the DevOps lifecycle.

According to him, DevOps, which encourages close collaboration between development and operations teams, has transformed how software is delivered.

However, he noted that the rapid pace of development also exposes systems to potential security risks. While traditional security methods, often applied after development, struggle to keep up, he revealed that modern pipelines require a proactive approach, where AI continuously monitors systems to detect and prevent security breaches.

He explained that one of the major advantages AI brings to DevOps security is the automation of vulnerability detection. Unlike traditional methods that perform security checks at specific stages, AI tools analyse code and configurations in real time.

This continuous monitoring, according to him, ensures that vulnerabilities are caught early, reducing the time and cost of fixing them before deployment.

He continued that AI’s ability to detect zero-day vulnerabilities, or flaws unknown to developers, gives it a significant edge. While traditional scanners may miss these threats, AI’s machine learning models can detect unusual patterns of behaviour in systems, allowing organisations to prevent cyberattacks before they occur.

Samuel stressed that AI also enhances security by predicting future threats. He explained that machine learning algorithms, trained on historical data, can identify patterns indicating where vulnerabilities might arise in the future, allowing organisations to strengthen their defences proactively, rather than responding to threats after they occur.

Another key benefit of AI, Samuel opined, is its ability to automate compliance and security policy enforcement.

He pointed out that manually ensuring compliance with regulations like GDPR and HIPAA can be time-consuming and prone to errors. He stressed that AI simplifies this process by automatically enforcing security policies across the development lifecycle, ensuring that compliance is maintained without human error.

Beyond threat prevention, he noted that AI also plays a critical role in incident response, stating that AI systems can automatically isolate compromised systems, stop malicious activity, and apply patches in real time, reducing the time it takes to contain security breaches.

Additionally, he mentioned that AI can assist in forensic analysis by quickly identifying how an attack occurred, helping organisations prevent similar incidents in the future.

Samuel cited real-world examples of AI-powered DevOps security, including companies such as Google and IBM, which use AI to monitor their vast infrastructures, detect unusual activity, and respond automatically to incidents.

He noted that even smaller organisations are adopting AI-driven security solutions from companies like Aqua Security and Darktrace to improve their defences without large security teams.

He, however, stressed that AI is now a necessity for improving DevOps security. Its ability to automate vulnerability detection, predict threats, enforce compliance, and accelerate incident response helps ensure that organisations can deliver software quickly and securely in an increasingly hostile digital landscape.

He said partly, “For organizations seeking to stay ahead of the rapidly changing threat landscape, integrating Al into their DevOps pipelines is no longer a luxury-it is a necessity. By harnessing the power of Al, businesses can not only accelerate their development processes but also ensure that their systems remain secure in an increasingly hostile digital environment.”