A single prompt can shift a model's safety behavior, with ongoing prompts potentially fully eroding it.

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

New research outlines how attackers bypass safeguards and why AI security must be treated as a system-wide problem.

Large language models (LLMs) are transforming how businesses and individuals use artificial intelligence. These models, powered by millions or even billions of parameters, can generate human-like text ...

Large language models frequently ship with "guardrails" designed to catch malicious input and harmful output. But if you use the right word or phrase in your prompt, you can defeat these restrictions.

From unfettered control over enterprise systems to glitches that go unnoticed, LLM deployments can go wrong in subtle but serious ways. For all of the promise of LLMs (large language models) to handle ...

Patronus AI Inc. today introduced a new tool designed to help developers ensure that their artificial intelligence applications generate accurate output. The Patronus API, as the offering is called, ...

Shailesh Manjrekar is the Chief AI and Marketing Officer at Fabrix.ai, inventor of "The Agentic AI Operational Intelligence Platform." The deployment of autonomous AI agents across enterprise ...

Summary: IBM releases Granite Guardian 3.0 as part of a significant update to its line-up of LLM foundation models. It's one of the first guardrails models that can reduce both harmful content and ...