Feat/nlp siem embeddings

[elprofesoriqo]

The Implementation

• NLP to RL? We will modify the environment's siem_logger to dynamically stream human-readable log syntax strings.
  • Example: Instead of returning a 5, it returns: "[AuthLog] User SYSTEM executed kernel32.dll on 10.0.0.4. Confidence: Medium."
• Dual-Architecture Training: We pass these strings through a frozen, lightweight SentenceTransformer natively inside our PyTorch LSTMs. The RL Agent learns to read raw log text by encoding it into dense vectors before its policy makes an action.
• Result: You will have trained a Cyber AI that can be plugged into a real enterprise Splunk instance natively because its observation space speaks fluent English/Syntax, not mathematical Python variables.