A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

AUSTIN, Texas, Dec. 09, 2025 (GLOBE NEWSWIRE) -- DryRun Security, the industry’s first AI-native, code security intelligence company, today announced analysis of the 2025 OWASP Top 10 for LLM ...

The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...

BOSTON — White House officials concerned by AI chatbots' potential for societal harm and the Silicon Valley powerhouses rushing them to market are heavily invested in a three-day competition ending ...

Large language models (LLMs) have become central tools in writing, coding, and problem-solving, yet their rapidly expanding use raises new ethical ...

Built by former Databricks and Apple engineers, OpenPCC enables companies to safely use large language models without exposing confidential or personal information SAN FRANCISCO--(BUSINESS ...

A growing number of organizations are embracing Large Language Models (LLMs). LLMs excel at interpreting natural language, ...

Researchers from Shanghai Jiao Tong University and East China Normal University conducted a large-scale review identifying ...

The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into increasingly complex hardware, and the behavior and interactions of both over ...

Even as digital and physical threats reach record levels, advances in security and privacy are giving us stronger defenses than ever before. New tools can now scan the wireless spectrum to flag hidden ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...