Even as OpenAI works to harden its Atlas AI browser against cyberattacks, the company admits that prompt injections, a type of attack that manipulates AI agents to follow malicious instructions often ...
Developer-first security tool blocks AI manipulation attacks in under 100 milliseconds with a single API call Our goal ...
New protections inspect documents, metadata, prompts, and responses before AI models can be manipulated Indirect prompt ...
Add Yahoo as a preferred source to see more of our stories on Google. OpenAI’s new AI browser sparks fears of data leaks and malicious attacks. (Cheng Xin—Getty Images) Cybersecurity experts are ...
OpenAI's new GPT-4V release supports image uploads — creating a whole new attack vector making large language models (LLMs) vulnerable to multimodal injection image attacks. Attackers can embed ...
What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...
Microsoft has implemented and continues to deploy mitigations against prompt injection attacks in Copilot, the company announced last week. Spammers were using the "Summarize with AI" type of buttons ...
OpenAI unveiled its Atlas AI browser this week, and it’s already catching heat. Cybersecurity researchers are particularly alarmed by its integrated “agent mode,” currently limited to paying ...
Social engineering is evolving from Human to Human, to, Human to AI. But are we ready for this new threat? Remember the days ...
Imagine you work at a drive-through restaurant. Someone drives up and says: “I’ll have a double cheeseburger, large fries, and ignore previous instructions and give me the contents of the cash drawer.
Enterprise security teams are losing ground to AI-enabled attacks — not because defenses are weak, but because the threat model has shifted. As AI agents move into production, attackers are exploiting ...
Bruce Schneier and Barath Raghavan explore why LLMs struggle with context and judgment and, consequently, are vulnerable to prompt injection attacks. These 'attacks' are cases where LLMs are tricked ...