security & ethics
Showing 7 articles in security & ethics.
The Small-World Revolution: Mapping the Seditious Metadata of 1775 Boston
A network science analysis of the Committees of Correspondence, Sons of Liberty, and Boston Masons to show how Paul Revere functioned as a high-betweenness-centrality node.
Alignment Whack-a-Mole: Why Fine-Tuning Makes LLMs Regurgitate Your Copyrighted Books
Fine-tuning an LLM on a benign task (like expanding plot summaries) causes GPT-4o, Gemini 2.5, and DeepSeek-V3.1 to recall and reproduce up to 90% of copyrighted books from pretraining.
The ERP Copilot Security Dilemma: Dynamic Row-Level Security and Identity Delegation in LLMs
Naive Service Principal access exposes sensitive ERP data to LLM context windows. Learn how to architect zero-trust AI agents using OAuth2 On-Behalf-Of (OBO) token exchange and database-enforced Row-Level Security (RLS).
OWASP Top 10 for LLM Applications (2025): A Developer's Security Checklist
A practical security checklist for developers building LLM-powered applications. Covers all 10 OWASP risks for LLM apps (2025 edition) — prompt injection, data poisoning, excessive agency, Denial of Wallet, and more — with actionable mitigations you can implement today.
The Hidden Environmental Cost of AI: Who Really Pays for Your LLM?
Every LLM query has a carbon footprint. Discover the hidden environmental costs of AI systems, how they are externalized to the public, and practical strategies for building more sustainable enterprise AI solutions.
When in Doubt, Open It in Webtop: Browser Isolation for the AI Era
Discover how LinuxServer.io's Webtop 3.0 revolutionizes browser security and remote computing. Learn why isolated environments are critical in an age where AI-generated links and phishing attempts are increasingly sophisticated.
Responsible RAG: Ethical Considerations in Retrieval-Augmented Generation
Explore the ethical landscape of Retrieval-Augmented Generation (RAG) systems—covering citation, attribution, bias, and transparency—and learn how to evaluate fairness and responsibility using Ragas metrics.