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 ...
Introduction: The Silent Expansion of Generative AI in Business Generative Artificial Intelligence has rapidly moved from ...
The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...
Threat actors are systematically hunting for misconfigured proxy servers that could provide access to commercial large ...
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, ...
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