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HomeCyber SecurityZscaler Provides New AI/ML Capabilities for the Zscaler Zero Belief Change

Zscaler Provides New AI/ML Capabilities for the Zscaler Zero Belief Change


San Jose, California, June 22, 2022 / Las Vegas, Nevada, June 22, 2022

Zscaler, Inc. (NASDAQ: ZS), the chief in cloud safety, immediately introduced newly superior AI/ML improvements powered by the most important safety cloud on the planet for unparalleled consumer safety and digital expertise monitoring. The brand new capabilities additional improve Zscaler’s Zero Belief Change™ safety platform to allow organizations to implement a Safety Service Edge (SSE) that protects in opposition to essentially the most superior cyberattacks, whereas delivering an distinctive digital expertise to customers, and simplifying adoption of a zero belief structure.

Organizations are going through a 314 p.c improve in cyberattacks on encrypted web site visitors and an 80 p.c improve in ransomware with practically a 120 p.c improve in double extortion assaults. Phishing can be on the rise with industries like monetary companies, authorities and retail seeing annual will increase in assaults of over 100 p.c in 2021. To fight advancing threats, organizations must adapt their defenses to real-time modifications in danger. Nevertheless, lean-running IT and safety groups are experiencing safety alert fatigue with rising publicity to real-time threats and infrequently don’t have the sources or expertise to successfully examine and reply to the mounting quantity of threats. Zscaler is addressing these challenges by offering one-click root trigger evaluation to immediately determine the problems behind poor digital expertise, liberating up IT and safety groups from troubleshooting to deal with stopping assaults. AI-powered safety helps IT professionals by automating menace detection to ship higher and quicker safety.

Zscaler operates the most important in-line safety cloud, which inspects over 240 billion information transactions day by day and blocks 150 million day by day assaults throughout the globe to dramatically expedite investigation, response and backbone instances, and pinpoint potential malware to cease breaches and information loss. Zscaler is uniquely outfitted to coach its AI/ML fashions for superior accuracy in automating menace responses and making coverage suggestions to safety groups. From quicker menace detection to liberating up sources, Zscaler’s Zero Belief platform permits IT and safety groups to scale back the fixed hearth drill of manually chasing alerts and attempting to determine new threats.

“Cybercriminals are utilizing AI, automation, and superior methods to coach machines to hack or socially engineer victims quicker than ever earlier than,” mentioned Amit Sinha, President, Zscaler. “To assist our prospects fight these escalating methods, we’ve dramatically superior AI and machine studying in our cloud to benefit from our huge information pool, giving our prospects granular real-time danger visibility and an answer to fight attackers that no different safety vendor can present.”

Using Zscaler’s AI-powered Zero Belief platform, organizations can now strengthen their community protection with the next clever safety improvements:

  • AI-powered phishing prevention: Detect and cease credential theft and browser exploitation from phishing pages with real-time analytics on menace intelligence from 300 trillion day by day alerts, knowledgeable ThreatLabz analysis, and dynamic browser isolation.
  • AI-powered segmentation: Simplify user-to-app segmentation to reduce the assault floor and cease lateral motion with AI-based coverage suggestions educated by hundreds of thousands of cross-customer alerts throughout personal app telemetry, consumer context, habits, and placement.
  • Autonomous risk-based coverage engine: Dynamically adapt safety and entry insurance policies in real-time throughout the Zscaler™ Zero Belief Change to keep up community integrity in opposition to rapidly-evolving cyber threats. The brand new capabilities additionally permit safety groups to customise insurance policies primarily based on danger scoring for customers, units, apps, and content material.
  • AI-powered root trigger evaluation: Speed up imply time to decision placing impacted finish customers again to work in a matter of seconds by figuring out root causes of poor consumer experiences 180 instances quicker, liberating IT from time-consuming troubleshooting and evaluation.

“Delivering seamless digital experiences, from worker units to the purposes they want, goes hand in hand with securing our delicate enterprise purposes and information, regardless of the place it resides,” mentioned Darren Beattie, Trendy Office and Safety Operations Supervisor at Auckland New Zealand-headquartered Tower Restricted. “Zscaler’s built-in cloud platform helped us effortlessly undertake a zero belief structure, cut back danger, speed up our digital transformation, and obtain enterprise targets.”

“With Zscaler’s AI-powered Zero Belief platform primarily based on a SSE framework, we’re capable of increase and broaden the attain of our IT and safety staff to cease the rising frequency of superior cyberattacks,” mentioned Stephen Bailey, Vice President of Info Know-how at Cache Creek On line casino Resort. “The menace panorama is consistently evolving, and these new AI capabilities will successfully allow us to see real-time modifications in danger, automate our response course of, and keep forward of the attackers.”

For extra particulars about Zscaler’s AI-powered Safety Service Edge (SSE) platform, please see right here.

About Zscaler

Zscaler (NASDAQ: ZS) accelerates digital transformation so prospects may be extra agile, environment friendly, resilient, and safe. The Zscaler Zero Belief Change protects hundreds of consumers from cyberattacks and information loss by securely connecting customers, units, and purposes in any location. Distributed throughout greater than 150 information facilities globally, the SSE-based Zero Belief Change is the world’s largest in-line cloud safety platform.

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