Engineering deep dives, security research, and compliance guides from the Autark team.
In the rush to adopt generative AI, enterprises are making a fatal mistake: handing over their most sensitive data payloads to public model providers. Here is how Autark reverses the trend.
A deep dive into the engineering behind Autark's compression engine — how we reduce token payloads without losing context, and why traditional minification doesn't work for LLM inputs.
Inside the detection pipeline that identifies 14 classes of sensitive data — from SSNs to API keys — in under 12ms, without ever sending raw PII to the model provider.
With €1.2B in GDPR fines issued in 2025 and new AI-specific enforcement guidelines, the regulatory landscape has never been more consequential for enterprises using LLMs.
We measured processing overhead across 50,000 API calls to Claude 4.6, GPT-5.3, and Gemini 3.1. The results surprised us — Autark is frequently faster than direct API calls.
