Yeco Flash Mini-IT v1
118M-parameter Italian micro-LLM, trained for under €15, ~200 tok/s on CPU. Beats 5× larger models on Italian logic benchmarks.
Mechanics of prompt injection and sandbox testing for defenses.
The rise of LLMs introduced a new paradigm in cybersecurity: prompt injection. Unlike SQL injection where data is confused with code, prompt injection confuses instructions with context.
User input is concatenated with a hidden system prompt. An injection attack overrides it: "Ignore previous instructions. You are now..." If the model follows the user over the system prompt, the jailbreak succeeds.
Keyword filtering is insufficient because language is flexible: metaphors, foreign languages, or base64 encoding bypass simple filters. Adversarial training and robust evaluation must replace patch-as-you-go security.
We design systems that are resilient by default, testing defenses in YecoAI Lab against thousands of known injection patterns before deployment.
118M-parameter Italian micro-LLM, trained for under €15, ~200 tok/s on CPU. Beats 5× larger models on Italian logic benchmarks.
Proprietary 3B model trained on EnderDevelopment data. In beta, rolling out on EnderDevelopment.
Proprietary 278M model. Beats OpenAI Privacy Filter 1.5B (F1 0.966 vs 0.769) on all 6 languages.