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 ...
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 ...
The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.
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 ...
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.
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 ...
A viral AI caricature trend may be exposing sensitive enterprise data, fueling shadow AI risks, social engineering attacks, ...
In 2026, AI won't just make things faster, it will be strategic to daily workflows, networks and decision-making systems.
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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