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Palo Alto Networks unveils Cortex, AI-Based Continuous Security Platform

Cortex is enabled by the Cortex Data Lake, where customers can securely and privately store and analyze large amounts of data that is normalized for advanced AI and machine learning to find threats and orchestrate responses quickly.

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MUMBAI — Palo Alto Networks, today introduced three significant advancements aimed at harnessing the power of advanced AI and machine learning to transform how security will be managed in the future.

Cortex , an open and integrated, AI-based continuous security platform. Cortex is a significant evolution of the Application Framework designed to simplify security operations and considerably improve outcomes. Deployed on a global, scalable public could platform, Cortex allows security operations teams to speed the analysis of massive data sets. Cortex is enabled by the Cortex Data Lake, where customers can securely and privately store and analyze large amounts of data that is normalized for advanced AI and machine learning to find threats and orchestrate responses quickly.

Cortex XDR detection, investigation and response product that natively integrates network, endpoint and cloud data. Cortex XDR uncovers threats using behavioral analytics, accelerates investigations with automation, and stops attacks before damage is done through tight integration with existing enforcement points.

Traps endpoint protection and response now includes a Behavioral Threat Protection engine that stops advanced threats in real time by stitching together a chain of events to identify malicious activity. Traps 6.0 acts as the ultimate data collection sensor for Cortex Data Lake, gathering the most comprehensive endpoint security data in the industry. In conjunction with Cortex XDR, customers can use Traps to extend their prevention capabilities to include detection and response across their entire digital infrastructure with a single agent.

“While detection and response are integral components of cybersecurity defense, the current model of disjointed standalone products leaves organizations with blind spots and conflicting data,” said Lee Klarich, chief product officer at Palo Alto Networks. “We believe the only way to solve this is with best-in-class prevention, combined with the ability to normalize and analyze data at scale from as many sources as possible, applying AI and machine learning to automatically detect and quickly respond to threats.”

“While endpoint and detection response tools are valuable, they give a limited view of what an attack may look like,” said Fernando Montenegro, senior analyst at 451 Research. “Security teams need more sources of data so that they can find and block threats faster across what are increasingly complex enterprise environments. We believe integrating data across endpoint, network and cloud is a positive step toward better addressing these security needs.”


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