The cybersecurity industry is buzzing about the potential of AI to enhance security strategies. Many companies are incorporating AI into their products, but how many are using it internally and how? Dilip Bachwani, Chief Technology Officer at Qualys, sat down with Enterprise Times to discuss cloud and product evolution, shedding light on how Qualys is leveraging AI for cybersecurity.
When Bachwani joined Qualys in 2014, the company had 600 staff, with 250 in engineering. Fast forward a decade, and the team has grown to 2,300 employees, with 1,000 in engineering. Initially focused on vulnerability management and compliance, Qualys has evolved to build a unified security platform that can scale with customer needs.
Utilizing a cloud-native architecture, Qualys transformed its platform into a collection of 3-400 microservices, providing easier management and visibility into customer usage. With a data lake containing petabytes of security signals, Qualys is leveraging AI techniques like machine learning and deep learning to analyze patterns in data and derive powerful insights.
Qualys is also revolutionizing its engineering workflows with an AI-first approach, aiming to increase efficiency by socializing AI/ML development across all teams. By using large language models (LLMs) to assist with tasks like generating documentation or code snippets, Qualys is paving the way for trustworthy solutions aligned with organizational policies.
By infusing AI throughout its platform and operations, Qualys aims to set the standard for integrated, risk-focused security. Bachwani predicts that AI will not only transform how Qualys secures enterprises but also how its engineers work. If successful, Qualys will showcase AI’s potential to revolutionize cybersecurity and beyond, proving that AI is more than just a marketing buzzword.