Zscaler has revealed brand-new AI/ML breakthroughs that are driven by one of the biggest security clouds in the world for the highest user protection and monitoring of their digital experience. The new features would improve Zscaler’s Zero Trust Exchange cybersecurity platform even more.
It would make it possible for enterprises to put in place a Security Service Edge (SSE) that defends against the most sophisticated cyberattacks, while also making the adoption of at architecture simple.
By offering one-click root cause analysis to quickly pinpoint the problems causing a bad online experience, Zscaler is tackling cybersecurity concerns and allowing IT and security professionals to shift their attention from troubleshooting to attack prevention. IT pros would benefit from AI-powered security because it automates threat detection to provide better and quicker defense.
In order to significantly reduce investigation, response, and resolution times as well as identify potential malware to prevent breaches and data loss, Zscaler runs one of the largest in-line cybersecurity clouds, inspecting over 240 billion data transactions daily and blocking 150 million daily attacks across the globe.
Zscaler is equipped to train its AI/ML models for the most precise automation of attack responses and policy recommendations to security professionals. Zscaler’s Zero Trust technology helps IT and security professionals to lessen the constant fire drill of manually chasing warnings and trying to uncover new threats. Benefits would include faster threat detection and resource liberation.
“Cybercriminals are using AI, automation, and advanced techniques to train machines to hack or socially engineer victims faster than ever before,” said Amit Sinha, President at Zscaler. “To help our customers combat these escalating techniques, we’ve dramatically advanced AI and machine learning in our cloud to take advantage of our massive data pool, giving our customers granular real-time risk visibility and a solution to combat attackers that no other security vendor can provide.”
AI-powered Zero Trust
Organizations may improve their network defense with the following intelligent security advances by utilizing Zscaler’s AI-powered Zero Trust platform:
- AI-powered phishing prevention – With real-time analytics on threat intelligence from 300 trillion daily signals, professional ThreatLabz research, and dynamic browser isolation, users can find and halt credential theft and browser exploitation from phishing URLs.
- AI-powered segmentation – With AI-based policy suggestions educated by millions of cross-customer signals across private app telemetry, user context, behavior, and geography, users can streamline user-to-app segmentation to reduce the attack surface and prevent lateral movement.
- Autonomous risk-based policy engine – Maintain network integrity against quickly emerging cyber threats by dynamically adjusting security and access restrictions in real-time via the Zscaler Zero Trust Exchange. Security teams may customize rules based on risk scores for individuals, devices, apps, and content thanks to the new capabilities.
- AI-powered root cause analysis – By locating the reasons of poor user experiences 180 times faster, it will be possible to shorten the mean time to resolution and get impacted end users back to work in a matter of seconds while relieving IT of time-consuming troubleshooting and analysis.
Zscaler is equipped to train its AI/ML models for the most precise automation of attack responses and policy recommendations to security professionals
Zero Trust technology helps IT and security professionals to lessen the constant fire drill of manually chasing warnings and trying to uncover new threats
Benefits include faster threat detection and resource liberation
AI-powered Zero Trust
Zscaler Zero Trust offers the following capabilities:
Autonomous risk-based policy engine
Root cause analysis
Maintain network integrity against quickly emerging cyber threats by dynamically adjusting security and access restrictions in real-time