AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.
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 ...
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 ...
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 ...
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Microsoft boffins figured out how to break LLM safety guardrails with one simple prompt
Chaos-inciting fake news right this way A single, unlabeled training prompt can break LLMs' safety behavior, according to Microsoft Azure CTO Mark Russinovich and colleagues. They published a research ...
New research outlines how attackers bypass safeguards and why AI security must be treated as a system-wide problem.
Unit 42 warns GenAI enables dynamic, personalized phishing websites LLMs generate unique JavaScript payloads, evading traditional detection methods Researchers urge stronger guardrails, phishing ...
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