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

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.

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 ...

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.

If you're a fan of ChatGPT, maybe you've tossed all these concerns aside and have fully accepted whatever your version of what an AI revolution is going to be. Well, here's a concern that you should ...

Our goal was to make prompt security as simple as Stripe made payments: one API call, transparent pricing, no sales calls.” — Ian Ho, Founder, SafePrompt SAN ...

[wunderwuzzi] demonstrates a proof of concept in which a service that enables an AI to control a virtual computer (in this case, Anthropic’s Claude Computer Use) is made to download and execute a ...

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 ...