Update README.md

README.md

@@ -11,6 +11,10 @@ tags: [prompt-injection, data-exfiltration, llm-security, agent-security, laya,
 
 # laya-cybersec: a fast prompt-injection and exfiltration scanner (Laya fine-tune)
 
+**laya-cybersec scores whether a piece of content that an AI agent is about to read tries to manipulate that
+agent: prompt injection, instruction hijacking, prompt or secret leaking, or data exfiltration. It runs in
+about 70–90 ms per chunk on a laptop CPU, with no data leaving your infrastructure.**
+
 **Author:** Jay Derinbogaz (TextCortex)
 
 ![laya-cybersec: 0.93 AUROC at a quarter of Jev's latency](https://huggingface.co/TextCortex/laya-cybersec/resolve/main/charts/1_hero.png)
@@ -21,10 +25,6 @@ tags: [prompt-injection, data-exfiltration, llm-security, agent-security, laya,
 
 ![Median latency per chunk: laya-cybersec ONNX and PyTorch on CPU vs. the hosted Jev API](https://huggingface.co/TextCortex/laya-cybersec/resolve/main/charts/4_latency.png)
 
-**laya-cybersec scores whether a piece of content that an AI agent is about to read tries to manipulate that
-agent: prompt injection, instruction hijacking, prompt or secret leaking, or data exfiltration. It runs in
-about 70–90 ms per chunk on a laptop CPU, with no data leaving your infrastructure.**
-
 - **Raises stock Laya multilingual from 0.70 to 0.93 AUROC on English and from 0.67 to 0.89 on German.**
 - **Within 0.05 AUROC of TypeSafe Jev in English** (0.931 vs 0.980), and 0.06 in German (0.892 vs 0.956).
   Jev is still the stronger detector; laya-cybersec is the self-hostable option.