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Secureworks has signed a definitive agreement to acquire Delve. Delve intelligently prioritizes vulnerabilities at scale and in context as part of its automated vulnerability management platform. The company’s SaaS solution is powered by artificial intelligence (AI) and machine learning to provide customers with more accurate and actionable data about the highest risk vulnerabilities across their network, endpoints and cloud.

The acquisition demonstrates Secureworks’ commitment to evolving its cloud-native Red Cloak Platform, and extending Threat Detection and Response (TDR) application with new integrations, analytics and user experience improvements. The Delve all-in-one solution, automating asset discovery, vulnerability scanning, contextual vulnerability prioritization and remediation planning, will be available for sale as part of Secureworks’ portfolio this quarter. Secureworks will also integrate Delve technology into the Red Cloak Platform and TDR application.

“Against the backdrop of today’s digital landscape, our customers demand sophisticated, scalable solutions that respond to threats putting their business and workforce at risk,” said Michael R. Cote, Chief Executive Officer of Secureworks. “The acquisition of Delve will enrich Secureworks’ intelligence, further differentiate our end-to-end capabilities, and accelerate our transformation to deliver software with security at its core.”

“We were the first to deliver a context-based, AI-driven vulnerability scanning and prioritization solution, and we believe this pioneering spirit is the ideal complement to Secureworks’ proven approach to helping customers grow their business securely,” said Gabriel Tremblay, Chief Executive Officer of Delve. “Together, we will expand customers’ access to the solutions and applications they need to make decisions that effectively defend their organizations against the most threatening adversaries.”

The acquisition is expected to be completed in Secureworks’ 2021 fiscal third quarter and is subject to customary closing conditions.

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