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Jarkko Sakkinen
jarkko
Edited 3 days ago
Figuring out my #3 inference engine for Landstrip. It will expand the concept of sandbox for in-traffic data and will be hybrid algorithm/LLM based detector.
Things it will do:
1. Detect and clear passwords with some kind of marker (e.g. '<sentinel>'), secret tokens and stuff like that before they leave to a remote source.
2. Detect malicious payloads to some degree. Won't replace anti-virus or intrusion detection but could save from worst slops and prompt injection attacks from time to time.
This will be probably as per inference easier than GPT-OSS-20B, which has Mixture-of-Experts architecture. Since I nailed that it is time to apply more this newly gained skill :-)
Things it will do:
1. Detect and clear passwords with some kind of marker (e.g. '<sentinel>'), secret tokens and stuff like that before they leave to a remote source.
2. Detect malicious payloads to some degree. Won't replace anti-virus or intrusion detection but could save from worst slops and prompt injection attacks from time to time.
This will be probably as per inference easier than GPT-OSS-20B, which has Mixture-of-Experts architecture. Since I nailed that it is time to apply more this newly gained skill :-)
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