PandasAI, an open source project by SinaptikAI, has been found vulnerable to Prompt Injection attacks. An attacker with access to the chat prompt can craft malicious input that is interpreted as code, ...
A single prompt can now unlock dangerous outputs from every major AI model—exposing a universal flaw in the foundations of LLM safety. For years, generative AI vendors have reassured the public and ...
OpenAI launches Lockdown Mode and Elevated Risk warnings to protect ChatGPT against prompt-injection attacks and reduce data-exfiltration risks.
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 ...
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 ...
While more and more people are using AI for a variety of purposes, threat actors have already found security flaws that can turn your helpful assistant into their partner in crime without you even ...
Large language models used in artificial intelligence, such as ChatGPT or Google Bard, are prone to different cybersecurity attacks, in particular prompt injection and data poisoning. The U.K.’s ...
For a brief moment, hiding prompt injections in HTML, CSS, or metadata felt like a throwback to the clever tricks of early black hat SEO. Invisible keywords, stealth links, and JavaScript cloaking ...
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 ...
Microsoft has pushed back against claims that multiple prompt injection and sandbox-related issues raised by a security engineer in its Copilot AI assistant constitute security vulnerabilities. The ...
Researchers managed to trick GitLab’s AI-powered coding assistant to display malicious content to users and leak private source code by injecting hidden prompts in code comments, commit messages and ...
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