Zscaler launches Business Insights for smarter SaaS management and office optimization

Zscaler has unveiled Business Insights, a new addition to its Business Analytics portfolio, which enables organizations to curtail SaaS sprawl and optimize office usage to improve workplace experience while saving money.
Zscaler unveiled several enhancements to its wider Business Analytics portfolio that include new AI-powered innovations within its Zscaler Risk360 and Zscaler Digital Experience Monitoring product offerings.
These solutions leverage the Zscaler Zero Trust Exchange, which sees more than 370 billion transactions and 500 trillion signals daily, and is now being used to train the world's most powerful AI/ML security engines.
With Zscaler Business Analytics, IT leaders can improve employee experience, reduce cyber risk, and optimize SaaS spend and office utilization, all with their current Zscaler deployment.
These valuable insights will help drive down costs while keeping organizations secure and productive.
Assess and manage SaaS utilization, including shadow IT, to identify redundant or unused applications, and reduce license costs.
Visualize office use across all locations globally to understand workplace trends including days and times offices are being used, departmental usage, over-capacity and under-capacity issues, and opportunities for consolidation and cost savings.
Download cybersecurity maturity assessments powered by Zscaler's generative AI, which includes custom in-house developed Large Language Models.
More effectively leverage data from third parties, like CrowdStrike, to identify additional risk signals and reduce the potential for compromise on user devices.
Access new financial risk models that include Monte Carlo simulation outcomes showing distributions of possible financial scenarios tied to cyber risk.
Assist SEC reporting with features that can enhance compliance with new SEC disclosure requirements.


This Cyber News was published on www.helpnetsecurity.com. Publication date: Wed, 13 Dec 2023 15:43:05 +0000


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