In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most ...

As troubling as deepfakes and large language model (LLM)-powered phishing are to the state of cybersecurity today, the truth is that the buzz around these risks may be overshadowing some of the bigger ...

Your LLM-based systems are at risk of being attacked to access business data, gain personal advantage, or exploit tools to the same ends. Everything you put in the system prompt is public data.

CrowdStrike data and OpenAI's admission confirm prompt injection as a dominant enterprise AI attack vector. 65% of ...

It's refreshing when a leading AI company states the obvious. In a detailed post on hardening ChatGPT Atlas against prompt injection, OpenAI acknowledged what security practitioners have known for ...

Forbes contributors publish independent expert analyses and insights. AI researcher working with the UN and others to drive social change. Dec 01, 2025, 07:08am EST Hacker. A man in a hoodie with a ...

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.

As a new AI-powered Web browser brings agentics closer to the masses, questions remain regarding whether prompt injections, the signature LLM attack type, could get even worse. ChatGPT Atlas is OpenAI ...

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 ...

Invisible prompts once tricked AI like old SEO hacks. Here’s how LLMs filter hidden commands and protect against manipulation. For a brief moment, hiding prompt injections in HTML, CSS, or metadata ...