Indegy App on PAN’s Cortex

Thursday, May 23, 2019 @ 04:05 PM gHale

Security solution provider, Indegy, signed a deal where its Indegy Industrial Cybersecurity Suite app is now available on Cortex by Palo Alto Networks, an integrated AI-based continuous security platform.

Building on Cortex allows Palo Alto Networks partners to use normalized and stitched together data from customers’ entire infrastructure to build cloud-based apps that deliver cybersecurity capabilities to joint customers.

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The Indegy app on Cortex is built to work seamlessly for Palo Alto Networks customers by providing cloud-based protection of ICS networks and connected devices from attacks that can impact operations and industrial processes.

The app utilizes Cortex Data Lake and integration with Palo Alto Networks enforcement points to provide joint customers with visibility, security and control over the OT network. Industrial facilities can implement Indegy to safely automate operational processes by protecting them from cyber attacks, insider threats and human error.

“The Indegy Industrial Cybersecurity Suite app on Cortex enables us to simplify and accelerate the delivery of advanced industrial security capabilities to Palo Alto Networks customers using the cloud,” said Mille Gandelsman, CTO of Indegy.

“Cortex partners can leverage the vast amount of rich data available from across the enterprise to create AI-based innovations that provide more automated and accurate security outcomes to our joint customers,” said Karan Gupta, senior vice president of engineering for Cortex at Palo Alto Networks.

Cortex is designed to simplify and significantly improve security outcomes. Deployed on a global, scalable public cloud platform, Cortex allows security teams to speed the analysis of massive data sets. Cortex is enabled by Cortex Data Lake, where customers can securely and privately store and analyze large amounts of data normalized for advanced artificial intelligence and machine learning to find threats and orchestrate responses quickly.



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