Network protocol parsers are essential for enabling correct and secure communication between devices. Bugs in these parsers can introduce critical vulnerabilities, including memory corruption, ...

Discover how to fine-tune n8n AI agents to reduce errors, minimize hallucinations, and achieve reliable, context-aware performance.

Improper parsing of attacker-controlled input is a leading source of software security vulnerabilities, especially when programmers transcribe informal format descriptions in RFCs into efficient ...

Since October 2024, Microsoft Defender Experts has observed and helped multiple customers address campaigns leveraging Node.js to deliver malware and other payloads that ultimately lead to information ...

To meet the web content crawlability and indexability needs of large language models, a new standards proposal for AI/LLMs by Australian technologist Jeremy Howard is here. His proposed llms.txt ...

Log parsing has been a long-studied area in software engineering due to its importance in identifying dynamic vari-ables and constructing log templates. Prior work has proposed many statistic-based ...

Researchers from SJTU, Shanghai, developed LogLLM, a log-based anomaly detection framework utilizing LLMs. Unlike traditional methods that require log parsers, LogLLM preprocesses logs with regular ...

Master AI nodes in n8n to enhance workflow automation and efficiency. Discover tools, agents, and advanced nodes for optimal performance.