AI Security Research Portal
Conceptsconceptactive2026-07-04ai-securitybatch-ingest

AI Cybersecurity Operations

Synthesis

AI in cybersecurity operations is represented by alert triage, incident response, threat detection, vulnerability repair, and analyst-assistance workflows.

Open-weight and local model deployment is now tracked separately in Open Weight Models for AI SOC. The current evidence supports cautious adoption for bounded subtasks, but not broad production autonomy without parser-robust evaluation and analyst oversight.

Evidence Base

This page was generated from the batch ingest of SRC-20260702-raw-papers-batch, SRC-20260702-raw-whitepapers-batch, and SRC-20260702-raw-news-batch. Treat it as a navigation and synthesis page; promote individual statements into claim pages when they become decision-relevant.

Representative Sources

TitleKindDateTagsRaw
Before You Hand Over the Wheel: Evaluating LLMs for Security Incident Analysispaper2026-03-06Adrian Taylor, Grant Vandenberghe, Madeena Sultana, Sourov Jajodia, Suryadipta Majumdar, agentic-evaluationraw
Open Weight AI SOC Paper Collectioncollection2026-07-03ai-for-security, ai-soc, open-weight-models, source-collectionsource note
When the Ruler is Broken: Parsing-Induced Suppression in LLM-Based Security Log Evaluationpreprint2026-05-08ai-for-security, ai-soc, open-weight-models, soc-bench, tinyllamaraw
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Reportpreprint2025-08-01ai-for-security, ai-soc, cybersecurity-llm, foundation-sec, open-weight-modelsraw
PAIEL: Protocol-Aware and Context-Integrated Protocol Explanation Using LLMs for SOCsconference_paper2026-02-23ai-for-security, ai-soc, context-compression, protocol-analysis, rag, structured-contextraw
Non-Disruptive Disruption: An Empirical Experience of Introducing LLMs in the SOCconference_paper2026-02-23ai-for-security, ai-soc, co-creation, ethnography, human-ai-collaborationraw
Cognitive Threat Detection for SOC Operations: Automating Manipulation Tactic Analysis in Election Sconference_paper2026-02-23ai-for-security, ai-soc, cognitive-threat, election-security, llm-routingraw
Experiences of Using Agentic AI to Fill Tooling Gaps in a Security Operations Centerpaper2026Faayed Al Faisal, Kritan Banstola, Xinming Ou, ai-agent, ai-for-security, alert-triageraw
Carbon Filter: Scalable, Efficient, and Secure Alert Triage for Endpoint Detection & Responseconference_paper2025-10-20Adam Bates, Jonathan Oliver, Muhammad Adil Inam, Raghav Batta, ai-for-security, ai-socraw
CORTEX: Collaborative LLM Agents for High-Stakes Alert Triagepaper2025-09-30Bowen Wei, Chris Jordan, Howard Liu, Jinhao Pan, Kun Luo, Yuan Shen Tayraw
LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centrespaper2025-06Cecile Paris, Fatemeh Jalalvand, Martin Lochner, Mohan Baruwal Chhetri, Ronal Singh, Shahroz Tariqraw
Alert Fatigue in Security Operations Centres: Research Challenges and Opportunitiesjournal_paper2025-04-04Cecile Paris, Mohan Baruwal Chhetri, Shahroz Tariq, Surya Nepal, ai-for-security, ai-socraw
Severity-based triage of cybersecurity incidents using kill chain attack graphsjournal_paper2025-03Basel Katt, Lukas Sadlek, Muhammad Mudassar Yamin, Pavel Celeda, ai-for-security, ai-socraw
AI-Augmented SOC: A Survey of LLMs and Agents for Security Operationspaper2025ai-for-security, alert-triage, incident-response, llm-agents, security-operations, socraw
Large Language Models Can Provide Accurate and Interpretable Incident Triageconference_paper2024-10Changhua Pei, Chaoyun Zhang, Chetan Bansal, Dongmei Zhang, Gaogang Xie, Jianhui Liraw

Open Questions

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