Securing Your AI Systems at Scale with Elastic
What’s this about?
You’ve got AI systems in production or heading there. They work. But as they scale to more requests, more data flows through, and managing security access patterns can’t be an afterthought.
This meetup is for developers building AI systems that must operate reliably and securely at scale. We’ll dig into how to:
Index and search your data securely: Using Elasticsearch to keep your data under your control while powering semantic search and RAG
Ground LLMs without leaking information: Building RAG pipelines that respect access controls, so the model only sees what it should
Detect when something’s wrong: Real-time analytics on your AI system's behaviour to catch data misuse or prompt injection early.
Control what gets to the LLM: Practical patterns for filtering, validating, and structuring data going into your prompts.
Not theoretical. Actual code patterns and decisions you’ll make when building this.
Who should come
You’re implementing RAG and wondering how to handle permissions
You’ve built a chatbot and realized you need to track what data it accessed
You’re evaluating where to store embeddings and how to make sure they’re protected
You already use Elasticsearch and want to see what’s possible with GenAI workflows
You’ve shipped AI features and hit security edge cases
Doesn’t matter if you’re early or already running this in production. If you’re building with both data and AI, this is for you.
Schedule
4:00 PM — Arrive, grab food
4:25 PM — Talk 1 + Q&A
4:55 PM — Talk 2 + Q&A
5:30 PM — Networking and photos
6:00 PM — Wrap
Speakers and location
To be announced soon, stay tuned!
Want to talk?
Have a 5-10 minute lightning talk or a deeper 45-minute session on how you built something? We’re looking for speakers.
Submit through our CFP or email [email protected]
Stay in the loop
Join the Elastic Canberra User Group to get updates on this and future meetups.