Direct Prompt Injection: How Attackers Manipulate LLM Input

Direct prompt injection occurs when a user crafts input specifically designed to alter the LLM’s behavior beyond its intended boundaries.
Forbes

One Prompt Can Bypass Every Major LLM’s Safeguards

A single prompt can now unlock dangerous outputs from every major AI model—exposing a universal flaw in the foundations of LLM safety. For years, generative AI vendors have reassured the public and ...
Cyber Defense Magazine

The Prompt is Mightier Than the Phish: A Security Take on AI/LLM Agents

Social engineering is evolving from Human to Human, to, Human to AI. But are we ready for this new threat? Remember the days ...

Mend.io launches AI system prompt hardening solution to secure LLM instructions

Application security solution provider White Source Ltd., also known as Mend.io, today launched System Prompt Hardening, a dedicated capability designed to detect issues within the hidden instructions ...
InfoWorld

How to test large language models

Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...
VentureBeat

This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Thought" ...
InfoWorld

Protecting LLM applications with Azure AI Content Safety

New tools for filtering malicious prompts, detecting ungrounded outputs, and evaluating the safety of models will make generative AI safer to use. Both extremely promising and extremely risky, ...
Infosecurity-magazine.com

DeepSeek's Flagship AI Model Under Fire for Security Vulnerabilities

R1, the latest large language model (LLM) from Chinese startup DeepSeek, is under fire for multiple security weaknesses. The company’s spotlight on the performance of its reasoning LLM has also ...
VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...