Cribl

““When pre-processing data with Cribl, you have opportunities for enrichment, correlation, and pre-processing in-stream. Then, you can do it again when the data is at rest and again when you get other data coming in. It starts to open this multi-dimensional tech stack where you can plug and play different technologies and then do cool things with it.””

““When you start plugging data feeds into an upstream data preprocessor, you automatically create a data catalog and provenance chains for all those feeds because you're building the pipelines, you're building all the steps that that data is going through. That might sound obvious, but it just wasn't something we had with our previous data lake setup.””

“"We were just ingesting all the data and then aggregating it into a big data store. This approach works, but after a while, we began to ask questions like: Where did that data come from originally? What was its origin? How did it get merged with this? Before implementing Cribl, we couldn’t answer those questions."”

““Cribl gives us the independence to allow people to generate logs how they want to generate them. Then, from a security perspective, we can coordinate those logs, filter them, parse them, change them to fit specific security use cases, and finally send the processed data to where it needs to be–all from Cribl’s clean user interface.””

““Beyond the standard logging that you’d expect of a corporate environment, we also handle a ton of custom logging formats at Sophos. That’s great, because we can get out of the way of the engineering teams and do the mapping in the back end. But to do that requires proper visibility of the upstream pipeline and the ability to tweak and change things on the fly. That’s not common in most security platforms without having to roll deep on DevOps.””

• 출시AI alert analysisCribl Detect uses AI alert analysis to surface genuine threats.
• 출시AI-powered investigationCribl Detect uses an AI copilot to drive investigations using natural language.
• 출시Cribl Detect AI copilotCribl Detect’s AI copilot helps build, validate, and tune rules and drive investigations using natural language.
• 출시AI SOC capabilitiesAI SOC capabilities generate custom triage logic for each alert and execute investigations directly against telemetry data wherever it resides.

“Your time and experience matter. We keep our process structured, respectful, and as efficient as possible.”

본사 소재지

San Francisco, California, US

설립

2018

산업

IT and Security

업종(NAICS)

정보통신업

유사 기업

Ivanti

웹사이트

cribl.io

채용 페이지

cribl.io/careers

소셜

LinkedIn · GitHub · X · YouTube · Reddit

• United States채용 중 27개
• United Kingdom채용 중 5개
• Australia채용 중 3개
• San Francisco채용 중 3개
• Cincinnati채용 중 2개
• Germany채용 중 2개

• Ivanti채용 중 9개

Cribl은(는) 채용 중인가요?

네. 2026년 10월 9일 기준으로 Metaintro에 Cribl의 공개 포지션이 62 개 있습니다. 최근 30일 동안 94 개가 게시되었습니다. 가장 많은 팀은 Sales (41), Developer (6) 및 Customer Support (3)입니다.

Cribl의 채용 지역은 어디인가요?

Cribl의 채용 지역은 United States, United Kingdom, Australia, San Francisco, Cincinnati 및 Germany이며, 채용 중인 포지션이 가장 많은 곳은 United States입니다.

Cribl의 면접 절차는 어떻게 되나요?

Cribl의 설명은 다음과 같습니다. “Your time and experience matter. We keep our process structured, respectful, and as efficient as possible.”

Cribl의 고객은 누구인가요?

Cribl에서 고객으로 언급한 곳은 Baird, Sophos, Events DC, Davinsi Labs 및 CHRU de Tours 등 7곳입니다.

Cribl에서는 어떤 기술을 찾나요?

채용 중인 포지션에서 가장 자주 요구하는 기술은 MEDDIC, Channel sales, Security, IT operations 및 Sales forecasting입니다.