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 editor Ian Murphy to discuss cloud and product evolution, shedding light on how Qualys is leveraging AI for cybersecurity.
Qualys, a company that has seen significant growth over the past decade, has evolved from focusing on vulnerability management to building a unified security platform that can scale with customers’ needs. Bachwani has spearheaded the engineering strategy to expand the platform through new product development on a common foundation, utilizing a cloud-native architecture and transitioning from a monolithic codebase to a collection of microservices.
With a data lake containing petabytes of anonymized security signals, Qualys is well-positioned to derive powerful insights through AI, applying techniques like machine learning and deep learning to analyze patterns in data. The company is also revolutionizing its engineering workflows with an AI-first approach, aiming to increase efficiency and quality control in model development.
Qualys’ bold approach to AI, including using large language models (LLMs) for engineering tasks and generating trustworthy code snippets, demonstrates the company’s commitment to setting 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.
As Qualys continues to push the boundaries of AI in cybersecurity, it will be interesting to see how their efforts impact the industry and demonstrate the true power of AI beyond just a marketing message.