Nathan Howe, VP of emerging technology and 5G at Zscaler, once again joins me on the Tech Talks Daily Podcast. Nathan discusses how AI and ML-based capabilities can secure and manage cloud infrastructure, sensitive data, and native applications deployed across multi-cloud environments.
Lean-running IT and security teams are experiencing security alert fatigue with increasing exposure to real-time threats and often don’t have the resources or skills to effectively investigate and respond to the mounting volume of threats. Nathan shares how to address these challenges by providing one-click root cause analysis to instantly identify the issues behind poor digital experience, freeing up IT and security teams from troubleshooting to focus on preventing attacks.
On the topic of AI-powered phishing prevention, we talk about how to detect and stop credential theft and browser exploitation from phishing pages with real-time analytics on threat intelligence from 300 trillion daily signals. We also discuss AI-powered segmentation and how to simplify user-to-app segmentation to minimise the attack surface and stop lateral movement with AI-based policy recommendations. These are trained by millions of cross-customer signals across private app telemetry, user context, behaviour, and location.
Finally, we discuss how to dynamically adapt security and access policies in real-time to maintain network integrity against rapidly-evolving cyber threats and how to accelerate mean time to resolution. All by putting impacted end users back to work in a matter of seconds by identifying root causes of poor user experiences 180 times faster, freeing IT from time-consuming troubleshooting and analysis.
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