Indirect prompt injection lets attackers bypass LLM supervisor agents by hiding malicious instructions in profile fields and contextual data. Learn how this attack works and how to defend against it.

It's not even your browser's fault.

AI lets you code at warp speed, but without Agile "safety nets" like pair programming and automated tests, you're just ...

The Kill Chain models how an attack succeeds. The Attack Helix models how the offensive baseline improves. Tipping Points One person. Two AI subscriptions. Ten government agencies. 150 gigabytes of ...

The moment AI agents started booking meetings, executing code, and browsing the web on your behalf, the cybersecurity conversation shifted. Not slowly, but instead overnight.What used to be a ...

In this article, I would like to engage the reader in a thought experiment. I am going to argue that in the not-so-distant future, a certain type of prompt injection attack will be effectively ...

Abstract: Cloud computing has emerged as a crucial paradigm for data storage and processing owing to its scalability and cost-effectiveness. Outsourcing sensitive data to third-party cloud providers ...

Large language models are inherently vulnerable to prompt injection attacks, and no amount of hardening will ever fully close that gap. The imbalance between available attacks and available ...

The TeamPCP hacking group continues its supply-chain rampage, now compromising the massively popular "LiteLLM" Python package on PyPI and claiming to have stolen data from hundreds of thousands of ...

Hackers are moving away from traditional phishing to prompt injection and malicious plugins to target AI agents. SlowMist discovered over 400 malicious “Skills” in the OpenClaw (Lobster) ecosystem, ...

An attack chain featuring three separate flaws found in Anthropic's Claude artificial intelligence (AI) agent could have allowed attackers to embed malicious hidden instructions in a pre-filled chat ...