Unbounded Token Consumption: How Not to Burn All Your Money on LLM API Costs
One malicious prompt can cost 3,000x more than a normal request. Here's how Denial of Wallet attacks work, and how to set the guardrails to avoid runaway LLM costs.
Blog
Check out our blog for our latest thoughts on data, AI, and digital products.
Explore topics
dbt
Data Science
Data Lake
BI
Data Warehouse
DOCKER
Snowflake
Career
Data Observability
Cloud
Modern Data Stack
Dagger
Census
Governance
App Development
Databricks
Artificial Intelligence
Data Vault
Retail & CPG
AI Agents
UX design
Digital Twin
Life at Hifly
Migration
Apps Factory
Recent posts
Agentic AI for Business Intelligence: Prototyping, Ticket Management, and Gold Layer Development
Three areas where agentic business intelligence delivers real value: spinning up mockups in hours, turning loose requests into proper tickets, and rebuilding data layers faster than ever.
KMP after KotlinConf 2026: Native Where It Matters, Shared Where It Counts
The event framed Kotlin as a full-stack, AI-aware platform, while KMP use in the top-10,000 mobile apps doubled year over year. Here’s what the next year could look like.
From intern to Senior Consultant
This story started during peak COVID, in the middle of university chaos. Balázs has since grown into a role where he runs C-level workshops on his own. Along the way, his mentor changed once—and so did the kind of support he needed.
Foundations of an Application Landing Zone for Azure Databricks
A walkthrough of the infrastructure foundations every Databricks project needs: IaC with modular components, environment separation, and network and authentication best practices and DevOps enablement on Azure.
Multi-Environment CI/CD for Databricks Apps with DABs, GitHub Actions, and Lakebase
How to set up Databricks CI/CD through DABs, GitHub Actions, Lakebase branching, and promotion rules to create repeatable deployments for every app and environment.
Enterprise AI Security: A Comprehensive Guide for Organizations Deploying AI at Scale
AI projects are outpacing security maturity. This enterprise AI security guide covers every layer: data, architecture, governance, cost, and adversarial threats.