arXiv (All)
open access
Studying Detection Rule Generation as a Unified Task
Security systems use detection rules to identify suspicious activity. Existing studies often investigate rule generation for specific security systems, devoting substantial effort to developing dedicated methods and evaluation setups. Such customization contributes to fragmented research, limiting m
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- LatentSift: Policy-State Filtering for Token-Efficient Verification of Software Engineering Agents#1131213
- LatentSift: Policy-State Filtering for Token-Efficient Verification of Software Engineering Agents#1122375
- You Get What You Sample: Evaluating Sampling Strategies for Web Security Measurements#673413
- Towards Agentic Investigation of Security Alerts#141419
- ADR: An Agentic Detection System for Enterprise Agentic AI Security#200407
Record · ID 1076066
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive