Attacks against modern generative artificial intelligence (AI) large language models (LLMs) pose a real threat. Yet discussions around these attacks and their potential defenses are dangerously myopic ...
The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.
As AI services increasingly connect to wider parts of the web and more external apps, the risk of so-called “prompt injection ...
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AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once ...
Morning Overview on MSN
Why LLMs are stalling out and what that means for software security?
Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their ...
A viral AI caricature trend may be exposing sensitive enterprise data, fueling shadow AI risks, social engineering attacks, ...
Companies worried about cyberattackers using large language models (LLMs) and other generative artificial intelligence (AI) systems that automatically scan and exploit their systems could gain a new ...
Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are fundamental limitations to their use.
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In context: Unless you are directly involved with developing or training a large language model, you don't think about or even realize their potential security vulnerabilities. Whether it's providing ...
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