Meshing data sources: How Cribl continues to solve data wrangling complexities
“Data is the new oil” being cliche only highlights the statement’s relevance. As data volumes continue to multiply, so do the complexities of management — especially in cybersecurity. Cribl Inc. is expanding on its data maturity ethos and mission to reinvigorate enterprise data management and security with offerings such as Cribl Lake and Search.
“The number of things you need to monitor has exploded [and so has] the amount of time you have to hold that data,” said Jackie McGuire (pictured), senior security strategist and market strategy manager at Cribl. “One of the other interesting things we’re seeing is dwell time has tripled in the last 10 years, so hackers are being very patient. They’ll get into your systems, and they’ll wait for 18 months, two years, as long as it takes. The amount of data you have to retain has also really exploded, and regulatory requirements are only going to make that worse. What really impressed me is that Cribl was building this kind of Swiss Army Knife for data.”
McGuire spoke with theCUBE Research’s John Furrier and Savannah Peterson at the Black Hat USA event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed data maturity and how Cribl solves today’s data problems while preparing organizations for tomorrow’s challenges. (* Disclosure below.)
The importance of a data maturity model
Initially, Cribl focused on helping organizations move data from where it is to where it needs to go, in the format required. This data movement, often fraught with challenges due to the siloed nature of data, is where the platform’s value shines. Its tools allow for the seamless processing and transportation of data, ensuring that only the necessary data reaches its destination, reducing costs and improving efficiency, according to McGuire.
“We’ve moved more towards storage and discovery because that’s the next problem that we see,” she said. “We launched Cribl Lake, which is a managed lake product that literally within a minute you can spin up a lake without having to put a ticket into IT. All of the identity and access management pushes down from Cribl Cloud. So, it removes a huge hurdle to establishing object storage.”
The company’s federated search product, Cribl Search, enables organizations to search data at rest across multiple clouds and only pay to pull back relevant results. This is particularly important in incident response, where sifting through terabytes of data to find a few kilobytes of critical information can be time-consuming and costly, according to McGuire.
“One of the really inhibitive things when you’re trying to respond to an incident is if you’ve got to pull eight terabytes of data in to find 24 kilobytes of data — it’s expensive and it takes a lot of time,” she said. “Cribl Search was us figuring out how to make searching more efficient.”
Responding to the imperative for corporate data management strategies, Cribl helps its customers develop a data maturity model. This framework allows them to assess their current state and plan for future improvements.
“We help them look at the different places where there is friction in the enterprise, and where are the different stages of data movement, processing, storage … where there’s low-hanging fruit or there’s obvious need for improvement,” she said. “My colleague, Ed Bailey, and I developed what we call a data maturity model, which essentially shows you what are the signs of being in each stage of maturity.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the Black Hat USA event:
(* Disclosure: Cribl Inc. sponsored this segment of theCUBE. Neither Cribl nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Photo: SiliconANGLE
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