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 ...
As AI services increasingly connect to wider parts of the web and more external apps, the risk of so-called “prompt injection ...
The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once ...
A viral AI caricature trend may be exposing sensitive enterprise data, fueling shadow AI risks, social engineering attacks, ...
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 ...
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.
As a QA leader, there are many practical items that can be checked, and each has a success test. The following list outlines what you need to know: • Source Hygiene: Content needs to come from trusted ...
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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