Ever wondered what it really takes to implement the Open Cybersecurity Schema Framework (OCSF)? Join us as Adobe’s Cloud Security Team pulls back the curtain on their journey. Take the plunge into the technical depths of their OCSF adoption, starting from those daunting initial steps all the way to exciting ventures into AI-driven transformations.
Forget the abstract – we're talking concrete examples and the technical battles fought and won. Adobe’s Cloud Security Team will dissect the real-world challenges of mapping messy, diverse data to the OCSF schema. Learn from the unexpected efficiencies unearthed through standardization and the practical strategies put in place to guarantee data quality and consistency.
But the story doesn't end there. Get a firsthand look at Adobe’s Cloud Security Team’s explorations of AI in their OCSF implementation. Imagine AI suggesting – even automating – those tedious transformation tasks! The Adobe team will share their initial discoveries and discuss the immense potential of AI to revolutionize and streamline their data normalization efforts.
If you're wrestling with data normalization, itching to understand the practicalities of OCSF adoption, or fascinated by the power of telemetry pipelines in this context, this session is your deep dive. Prepare to get technical, roll up your sleeves, and explore the real-world implementation details of our OCSF odyssey.
Cribl, the Data Engine for IT and Security, empowers organizations to transform their data strategy. Customers use Cribl’s suite of products to collect, process, route, and analyze all IT and security data, delivering the flexibility, choice, and control required to adapt to their ever-changing needs.
We offer free training, certifications, and a free tier across our products. Our community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. We also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage our products for their data challenges.
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