Operations | Monitoring | ITSM | DevOps | Cloud

In a recent user group meeting, guest speaker Marc Luescher from Amazon Web Services (AWS) joined us to give an overview of Amazon Security Lake. We talked about Cribl use cases and how Cribl Stream can bring your non-AWS data into the Security Lake. Enterprises are dealing with some significant challenges with security data in 2023. Inconsistent, incomplete, poorly-formatted log data is simultaneously scattered across companies and locked up in different silos within the organization.

At Cribl, we take pride in doing things differently. Our Customers First mentality is at the heart of everything we do as an organization–from free education and sandboxes, community programs, and platforms, to streamlining legal reviews on contracts. We strive to solve problems from first principles – understanding root causes to build optimal experiences vs. piecemeal solutions together. We aim to be a partner—working with you to address your challenges holistically.

Cribl Stream users have been successfully setting up security data lakes alongside, instead of, and underneath their SIEM solutions. Regardless of their architecture, they all want to reduce their latency and cut their costs. Snowflake, a popular choice for security data lakes due to its scalability and ease of use, recently released a new streaming ingest capability that Cribl Stream is ready to unlock.

After a solid week in Vegas and another solid week of recovery, I’m back in the office (AKA sitting on my couch eating Doritos with chopsticks so I don’t get my keyboard dirty) to bring you my official Black Hat 2023 recap. This year’s event was noticeably scaled back, with fewer people swag surfing the business hall and more technical security folks in search of solutions for actual business problems.

Data Lakes can be difficult and costly to manage. They require skilled engineers to manage the infrastructure, keep data flowing, eliminate redundancy, and secure the data. We accept the difficulties because our data lakes house valuable information like logs, metrics, traces, etc. To add insult to injury, the data lake can be a black hole, where your data goes in but never comes out. If you are thinking there has to be a better way, we agree!

Collecting and processing logs, metrics, and application data from endpoints have caused many ITOps and SecOps engineers to go gray sooner than they would have liked. Delivering observability data to its proper destination from Linux and Windows machines, apps, or microservices is way more difficult than it needs to be. We created Cribl Edge to save the rest of that beautiful head of hair of yours.

Cindy works long hours managing a SecOps team at UltraCorp, Inc. Her team’s days are spent triaging alerts, managing incidents, and protecting the company from cyberattacks. The workload is immense, and her team relies on a popular SOAR platform to automate incident response including executing case management workflows that populate cases with relevant event data and enrichment with IOCs from their TIP, as well execute a playbook to block the source of the threat at the endpoint.

If you’ve ever found yourself pondering the hidden treasures tucked away within thousands of files in Amazon S3, this is the perfect guide for you. In this blog post, we’re going to look at how you can use the Cribl Search fields feature to catalog and explore the fields in petabytes of data stored in Object Stores. In the Fields Tab within Cribl Search, all returned fields are categorized according to five different dimensions.

The newly released Cribl Search 4.2 brings enhancements that ease data management in today’s complex, cloud-centric environments. This update provides comprehensive compatibility with all major cloud providers – Amazon S3, Google Cloud Storage, and Azure Blob Storage. It also ushers in native support for Amazon Security Lake. In this blog post, we’ll examine how new dataset providers enhance the value that Cribl Search delivers, out of the box.

One of the most exciting things about bringing products to market at Cribl is seeing customers continually find new ways to leverage them to help solve their data challenges. I recently spoke to a customer who described Cribl as the foundation of their data management strategy and a key part of their post-acquisition data engineering process. Let’s take a deeper look into how Cribl can help.