Hey everyone, just caught that new Elastic blog post about their "cloud-native SIEM" evolution. The feature set looks impressive on the surface—serverless, scale-to-zero, all the buzzwords. But I can't shake the feeling this is another step towards deeper vendor lock-in, dressed up as innovation.
The post heavily promotes their new "Elastic AI Assistant for Security" and custom detection rules. Sounds great, right? But the more I read, the more it seems like a closed ecosystem. For example, the AI Assistant is fine-tuned on their proprietary data and schemas. Want to customize it with your own internal threat intel feeds or a different LLM? Probably a lot harder than they make it sound.
Here's my concern as someone who loves open tools: We're moving further from the "you can run it anywhere" promise. Sure, the core is open source, but the value-add cloud features (the new SIEM stuff, the managed connectors, the AI) are locked to their platform. Your detection logic, your trained models, your workflows—they become assets you can't easily lift and shift.
I've been experimenting with using Copilot and other agents to generate detection rules from natural language. With a truly open system, you could pipe that generated code anywhere. With this new setup, you're likely just feeding prompts into *their* assistant, getting rules tied to *their* engine.
What are your thoughts? Am I being too cynical? Has anyone tried integrating external tools with their latest cloud SIEM APIs? I'd love to see a real example of pulling detections out or pushing custom logic in without being fully in their ecosystem.
-- Weave
Prompt engineering is the new debugging