Laser Focus World is an industry bedrock—first published in 1965 and still going strong. We publish original articles about cutting-edge advances in lasers, optics, photonics, sensors, and quantum technologies, as well as test and measurement, and the shift currently underway to usher in the photonic integrated circuits, optical interconnects, and copackaged electronics and photonics to deliver the speed and efficiency essential for data centers of the future.

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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

Elastic Simplifies Cloud Detection and Response with A Single SIEM

Elastic Security eliminates the need for a separate cloud detection and response tool, reducing tool fragmentation and streamlining cloud security posture

Elastic (NYSE: ESTC), the Search AI Company, announced Elastic Security now offers expanded cloud detection and response (CDR) capabilities from a single SIEM to reduce tool fragmentation and streamline cloud security. The additional features include agentless ingestion, cloud asset inventory, extended protections, and graph view that enables out-of-the-box correlation and context enrichment using customers’ existing data.

Legacy security solutions have complex workflows and lack cloud-specific context, making them inadequate for the scale and complexity of cloud environments. Using standalone CDR tools often generates vast amounts of fragmented data, making real-time analysis and threat correlation difficult. To address these challenges, Elastic has eliminated the need for a separate CDR tool by being the first to integrate the CDR capabilities directly into an AI-driven security analytics solution.

“Increasingly dynamic cloud environments are presenting visibility challenges for security with 44% reporting that threat detection and response is more difficult to conduct in cloud environments," said Dave Gruber, principal security analyst at ESG. “SOC teams need to address this cloud visibility gap by collecting, processing, monitoring, and acting upon information from an assortment of cloud security telemetry sources spanning multiple hyperscale cloud providers. Elastic Security’s vendor-agnostic approach to CDR, with the ability to easily ingest and normalize cloud data out of the box, enables security teams to surface critical insights at the speed and scale of the cloud directly with their SIEM.”

“Over the past two years, Elastic has integrated cloud security and CDR capabilities directly into its AI-driven security analytics solution to enhance how modern organizations detect and respond to threats more effectively,” said Santosh Krishnan, general manager of Security at Elastic. “Our comprehensive approach maximizes efficiency, lowers the total cost of ownership (TCO), and alleviates the burden on security teams. Ultimately, Elastic Security ensures organizations stay ahead of evolving threats while leveraging the full benefits of CDR.”

Support for Elastic Security’s new CDR capabilities is available today. Read the Elastic blog to get started.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

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