Gavi Regunath

You added guardrails, PII filters and safety controls. Then someone Base64-encodes a prompt injection and your model hands over data like it was asked nicely. This session is a live walkthrough of how to red team your LLMs on Databricks using BlackIce, Databricks' own open-source containerised toolkit. 14 security tools. One Docker image. Five minutes to deploy. In three steps we will spin up a model serving endpoint with AI Gateway guardrails, launch BlackIce on a single-node cluster with NVIDIA's Garak, Microsoft's PyRIT, Meta's CyberSecEval and 11 more tools ready to go, then point Garak at the endpoint and run attack probes, encoding attacks, jailbreaks, prompt injection and system prompt extraction — to get an Attack Success Rate in minutes. You'll leave fully understanding how to use BlackIce to secure your LLMs, whilst feeling slightly more paranoid about just how easy they are to break. Better you find out here than in production.

We’re excited to be back at Big Data LDN this year—huge thanks to the organisers for hosting Databricks London once more! Join us for an evening of insights, networking, and community with the Databricks Team and Advancing Analytics! 🎤 Agenda: 6:00 PM – 6:10 PM | Kickoff & Warm Welcome Grab a drink, say hi, and get the lowdown on what’s coming up. We’ll set the scene for an evening of learning and laughs. 6:10 PM – 6:50 PM | The Metadata Marathon: How three projects are racing forward – Holly Smith (Staff Developer Advocate, Databricks) With the enormous amount of discussion about open storage formats between nerds and even not-nerds, it can be hard to keep track of who’s doing what and how this actually makes any impact on day to day data projects. Holly will take a closer look at the three big projects in this space; Delta, Hudi and Iceberg. They’re all trying to solve for similar data problems and have tackled the various challenges in different ways. Her talk will start with the very basics of how we got here, what the history is before diving deep into the underlying tech, their roadmaps, and their impacts on the data landscape as a whole. 6:50 PM – 7:10 PM | What’s New in Databricks & Databricks AI – Simon Whiteley & Gavi Regunath Hot off the press! Simon and Gavi will walk you through the latest and greatest from Databricks, including shiny new AI features and platform updates you’ll want to try ASAP. 7:10 PM onwards | Q&A Panel + Networking Your chance to ask the…

In this session, we will share how we are transforming the way organizations process unstructured and non-standard documents using Mosaic AI and agentic patterns within the Databricks ecosystem. We have developed a scalable pipeline that turns complex legal and regulatory content into structured, tabular data.We will walk through the full architecture, which includes Unity Catalog for secure and governed data access, Databricks Vector Search for intelligent indexing and retrieval and Databricks Apps to deliver clear insights to business users. The solution supports multiple languages and formats, making it suitable for teams working across different regions. We will also discuss some of the key technical challenges we addressed, including handling parsing inconsistencies, grounding model responses and ensuring traceability across the entire process. If you are exploring how to apply GenAI and large language models, this session is for you. Audio for this session is delivered in the conference mobile app, you must bring your own headphones to listen.