Understanding RAG: Build a Security Assistant with Cloud Run, Firestore, and Vertex AI
Build a RAG-powered security assistant on Google Cloud using Firestore and Vertex AI — deployable threat intelligence with context-aware responses.
Just Start Building Matters More Than Ever. – Hart Rossman
Hi! I’m Bartosz
I'm Bartosz — a Security Engineer building at the intersection of AI and security.
I looked for practical, hands-on AI projects built specifically for security engineers — real tools, real stacks, deployable code. I couldn’t find them, so I started building them myself.
Here you’ll find step-by-step tutorials, architectural breakdowns, and honest takes on where AI is taking security operations. Everything is designed to run, fork, or adapt to your environment. Have ideas, tweaks, or want to help with the blog? Reach out 🤝
Cloud Security | Automation | AI
The Journal
Reduce MTTD/MTTR with Amazon Bedrock - From Telemetry to Action
Reduce MTTD/MTTR by combining AWS WAF, CloudWatch, and Amazon Bedrock Agents — from telemetry anomaly detection to automated security mitigation.
From Zero to Amazon Bedrock: Learn how to interact with GenAI Models using AWS Lambda
A hands-on Python guide to Amazon Bedrock with AWS Lambda — call foundation models, use Converse API, and apply minimal IAM to ship GenAI features fast.