DTDA is an LLM agent that produces novel security alerts at 80.1% customer-validated precision and 0.78 F1 on hidden activity while running at production scale inside Microsoft Defender.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
OpsLLM is a domain-specific LLM for software ops QA and RCA built with human-curated data, SFT, and RL using a domain process reward model, showing accuracy gains of 0.2-5.7% on QA and 2.7-70.3% on RCA over general LLMs.
citing papers explorer
-
GenAI-Driven Threat Detection with Microsoft Security Copilot
DTDA is an LLM agent that produces novel security alerts at 80.1% customer-validated precision and 0.78 F1 on hidden activity while running at production scale inside Microsoft Defender.
-
An End-to-End Framework for Building Large Language Models for Software Operations
OpsLLM is a domain-specific LLM for software ops QA and RCA built with human-curated data, SFT, and RL using a domain process reward model, showing accuracy gains of 0.2-5.7% on QA and 2.7-70.3% on RCA over general LLMs.