According to Chief Executive Officer Jay Chaudhry, Zscaler is preparing to introduce AI-driven tools that evaluate risk and forecast breaches by incorporating advanced AI capabilities into its data security packages.
In a recent development, Zscaler revealed upgrades to its data security protocols tailored for artificial intelligence and machine learning applications to mitigate the heightened risk of data breaches stemming from the widespread adoption of relational AI technologies. This initiative aims to fortify data protection measures against sophisticated phishing attacks and complex exploits that conventional security measures may fail to detect.
During a recent earnings call, Chaudhry underscored the importance of harnessing high-quality data to refine AI and machine learning models, underscoring Zscaler’s competitive advantage in this domain. The company has introduced new “Advanced Plus” packages that integrate cutting-edge AI techniques into data security solutions, positioned at a premium compared to the standard “Advanced” offerings. These advanced packages cater to customers engaged in processing over two billion AI transactions monthly, facilitating the enforcement of AI application security protocols.
In a significant development, Zscaler launched Risk 360, a standalone product hailed as the industry’s inaugural AI-powered risk assessment and mitigation solution. In conjunction with AI-infused bundles, Risk 360 leverages Zscaler’s data insights to furnish real-time risk evaluations and actionable recommendations for enterprises. Notably, Zscaler has already finalized more than 10 Risk 360 agreements, each averaging over $100,000 in contract value, with 100 companies actively piloting the product.
Moreover, Zscaler is in the process of developing an innovative product titled “Breach Predictor,” which harnesses conceptual AI models and predictive algorithms to preempt and thwart potential breach incidents proactively. Initial feedback from users of Breach Predictor underscores the substantial value this technology contributes to enhancing cybersecurity measures.
Chaudhry also emphasized Zscaler’s strategic stance on mergers and acquisitions, concentrating on assimilating data and AI capabilities that complement the company’s existing portfolio. By targeting pioneering technologies that align with Zscaler’s platform, the company aims to accelerate its market entry into burgeoning sectors.
Zscaler’s financial performance for the quarter concluding on October 31 exceeded expectations, with revenue hitting $496.7 million, marking a 39.7% surge from the previous year. Additionally, the company’s non-GAAP earnings per diluted share surpassed forecasts, indicative of robust growth momentum. Looking forward, Zscaler anticipates sustained growth, with a positive projection for non-GAAP net income and revenue in the forthcoming quarter, surpassing analyst forecasts.
