binarypublish
In a recent article, Deepen Desai, Chief Security Officer, and Claudionor N. Coelho Jr, Chief AI Officer at Zscaler, discuss the importance of understanding that not all AIs are created equal when it comes to cybersecurity in the cloud. The quality and volume of data, scalability of the solution, and the ability to process inference effectively are key aspects that enable efficient AI solutions. By analyzing large volumes of clean data from various sources, AI can accurately identify anomalies and potential security breaches that may go unnoticed by traditional security measures.
Scalability is also crucial, particularly when deployed at the edge, bringing services closer to where customers are located. An AI solution that excels in scalability ensures that it can effortlessly expand to meet the global organization’s requirements and maintain pace with the surge in data traffic and evolving attack strategies across diverse regions.
In cybersecurity, AI must analyze and act on data in real-time. Quick, accurate AI predictions are essential for spotting threats and responding immediately to prevent breaches and minimize damage.
Zscaler stands out as an AI-first company due to its commitment to integrating artificial intelligence into its solutions. With a massive global network spanning over 150 data centers worldwide, Zscaler collects an astonishing 360 billion security transactions every day, resulting in an unparalleled wealth of data. This vast amount of high-quality data serves as the foundation for their AI models, enabling Zscaler to develop robust algorithms that accurately detect and prevent cyber threats.
Zscaler’s scalability ensures that organizations of all sizes can benefit from its AI-driven security solutions without compromising on performance or efficacy. Zscaler’s Zero Trust platform requires its AI systems to swiftly analyze incoming data to identify potential threats and take immediate action.
In addition to discussing Zscaler’s AI capabilities, the article also highlights two new innovations from the company. The first is Risk360, an AI-powered risk quantification and mitigation platform that helps CISOs quantify cybersecurity risks and report on risk, strategy, and governance. The second is Business Insights, powered by Generative AI, which helps businesses understand where they can save money in unused SaaS licenses or workforce infrastructure costs.
In conclusion, the article emphasizes the importance of considering the quality and volume of data, scalability, and real-time processing capabilities when evaluating AI solutions for cybersecurity in the cloud. Zscaler is showcased as an AI-first company with a strong focus on integrating AI into its solutions, leveraging its vast global network and high-quality data to accurately detect and prevent cyber threats.
