Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now New technology means new opportunities… but ...

AI agents are now being weaponized through prompt injection, exposing why model guardrails are not enough to protect ...

The UK’s National Cyber Security Centre (NCSC) has been discussing the damage that could one day be caused by the large language models (LLMs) behind such tools as ChatGPT, being used to conduct what ...

Prompt injection, a type of exploit targeting AI systems based on large language models (LLMs), allows attackers to manipulate the AI into performing unintended actions. Zhou’s successful manipulation ...

Security leaders must adapt large language model controls such as input validation, output filtering and least-privilege access for artificial intelligence systems to prevent prompt injection attacks.

Microsoft assigned CVE-2026-21520 to a Copilot Studio prompt injection vulnerability and patched it in January — but in Capsule Security's testing, data exfiltrated anyway. Here's what security ...

Malicious web prompts can weaponize AI without your input. Indirect prompt injection is now a top LLM security risk. Don't treat AI chatbots as fully secure or all-knowing. Artificial intelligence (AI ...

A compromised OAuth token resulted in the recent breach at Vercel. OAuth grants are the quiet back door of modern SaaS, and the rise of remote MCP servers is only making that back door wider. If you ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--SentinelOne® (NYSE: S), the AI-native cybersecurity leader, today announced it has signed a definitive agreement to acquire Prompt Security, a pioneer in ...

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and useful AI outputs.