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@@ -9,7 +9,7 @@ The fine-tuning was conducted using a curated corpus of 950 cybersecurity rules
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  Instruct the model to craft a SIGMA rule for detecting potentially malicious commands such as `msfvenom` and `netcat` in Audit system logs, or a Suricata rule to spot SSH brute-force attacks, or even a YARA rule to identify obfuscated strings in files — and watch the magic happen! Automate the creation of rules in your cybersecurity systems with this model.
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- For an in-depth understanding of how this model has been fine-tuned, refer to the associated paper here: [link to the paper].
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  ## Key Features
 
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  Instruct the model to craft a SIGMA rule for detecting potentially malicious commands such as `msfvenom` and `netcat` in Audit system logs, or a Suricata rule to spot SSH brute-force attacks, or even a YARA rule to identify obfuscated strings in files — and watch the magic happen! Automate the creation of rules in your cybersecurity systems with this model.
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+ For an in-depth understanding of how this model has been fine-tuned, refer to the associated paper here: [available soon].
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  ## Key Features