Update README.md

README.md

@@ -101,7 +101,19 @@ def predict_mask(sent, tokenizer, model, topk=10, print_results=True):
 
     return words
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+Limitations & Risks
 
+* Domain-Specific Bias: SecureBERT is trained primarily on cybersecurity-related text. It may underperform on tasks outside this domain compared to general-purpose models.
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+* Data Quality: The training data was collected from online sources. As such, it may contain inaccuracies, outdated terminology, or biased representations of cybersecurity threats and behaviors.
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+* Potential Misuse: While the model is intended for defensive cybersecurity research, it could potentially be misused to generate malicious text (e.g., obfuscating malware descriptions or aiding adversarial tactics).
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+* Not a Substitute for Expertise: Predictions made by the model should not be considered authoritative. Cybersecurity professionals must validate results before applying them in critical systems or operational contexts.
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+* Evolving Threat Landscape: Cyber threats evolve rapidly, and the model may become outdated without continuous retraining on fresh data.
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+* Users should apply SecureBERT responsibly, keeping in mind its limitations and the need for human oversight in all security-critical applications.
 
 # Reference
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