
4 min readGuide
Large Language Models for Cybersecurity: A Careful Starting Point
LLMs for cybersecurity: SOC use cases, evidence, permissions and evaluation. Move from summarization to a tool-using assistant.
Research notes and technical guides on federated learning, distributed AI, cyberdefense, trustworthy systems, and privacy-preserving platforms.
Topic: AI and Machine Learning for Cyberdefense Clear topic
7 articles. Page 1 of 2.

4 min readGuide
LLMs for cybersecurity: SOC use cases, evidence, permissions and evaluation. Move from summarization to a tool-using assistant.

4 min readGuide
RAG for cybersecurity: hybrid retrieval, current sources, permissions and evaluation. Diagnose retrieval and generation failures.

4 min readResearch note
GraphRAG for threat intelligence: entities, relationships, STIX, provenance and evaluation against passage-based retrieval.

3 min readGuide
Build golden sets for LLMs and RAG with examples, adjudication, leakage-aware splits and bilingual security cases.

3 min readGuide
LLM and RAG metrics: retrieval recall, citations, unsafe actions, calibration, latency and uncertainty. Define fair comparisons.

5 min readGuide
From the DFL survey to Flighter and Modalis: turn literature into testable hypotheses, reproducible experiments and traceable evidence.
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