A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
What if the very tools designed to transform communication and decision-making could also be weaponized against us? Large Language Models (LLMs), celebrated for their ability to process and generate ...
The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...
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 ...
Large language models (LLMs) have become central tools in writing, coding, and problem-solving, yet their rapidly expanding use raises new ethical ...
The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...
At RSAC, a security researcher explains how bad actors can push LLMs off track by deliberately introducing false inputs, causing them to spew wrong answers in generative AI apps. When the IBM PC was ...
AZoAI on MSNOpinion
Why large language models need stronger security and ethical governance
Researchers from Shanghai Jiao Tong University and East China Normal University conducted a large-scale review identifying ...
Get the latest federal technology news delivered to your inbox. Anthropic has announced that new versions of its Claude Gov large language models are ready for adoption at the government level, ...
“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...
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 ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results