Prompt Injection Vulnerability in Google Gemini Allows for Direct ...

Google Gemini for Workspace Vulnerable to Indirect Prompt Injection

Initial testing involved the delivery of emails with hidden instructions to targeted Gmail accounts that prompted Gemini to provide poems ...

Preventing LLM Prompt Injection Exploits - LinkedIn

Welcome to the second edition of the Mastering A.I. for Cybersecurity newsletter. This edition zeroes in on a prevalent cybersecurity ...

Prompt Injection Defence Best Practice & SAIF Risk Toolkit - YouTube

In this video, we will walk through common prompt injection attack examples and a reference architecture to defend against these attacks ...

Prompt Injection Protection for AI Chatbot LLM Models - Apriorit

In this article, we explore the basics of LLMs and their vulnerabilities, focusing on those that are exploited for prompt injection attacks.

Tackling LLM Vulnerabilities to Indirect Prompt Injection Attacks

This form of attack manipulates the models' outputs by embedding malicious instructions in external content, leading to outcomes that deviate from user ...

Simon Willison on google

Google Chrome Canary is currently shipping an experimental on-device LLM, in the form of Gemini Nano. You can access it via the new window.ai API, after first ...

Meta Prompt Guard. To secure your Generative AI… | Google Cloud

Large Language Models have become more integrated into production environments, and the overall risks of prompt attacks have risen sharply.

LLM Prompt Injection Worm - Schneier on Security

This paper introduces Morris II, the first worm designed to target GenAI ecosystems through the use of adversarial self-replicating prompts.

CVE-2024-5184s Prompt Injection in EmailGPT: CyRC Advisory

Learn about CVE-2024-5184s, which identified prompt injection vulnerabilities in API service and Google Chrome extension EmailGPT.

When your AI Assistant has an evil twin | WithSecure™ Labs

We demonstrate how Google's Gemini Advanced can be coerced into performing a social engineering attack. By sending a malicious email, attackers can ...

New Image/Video Prompt Injection Attacks - Schneier on Security -

Simon Willison has been playing with the video processing capabilities of the new Gemini Pro 1.5 model from Google, and it's really impressive.

Prompt injection: What's the worst that can happen?

Activity around building sophisticated applications on top of LLMs (Large Language Models) such as GPT-3/4/ChatGPT/etc is growing like wildfire ...

Google Gemini Under Fire: Critical Security Vulnerabilities You ...

Google Gemini Under Fire: Critical Security Vulnerabilities You Need to Know to hack Gemini - Tutorials Cyber Security News | Exploit One ...

Overview — Robust Intelligence

The Robust Intelligence platform automates end-to-end security of AI models. Each production model is protected with an AI Firewall that is custom-fit to ...

Examining the Leading LLM Models: Top Programs and OWASP Risks

Explore the world's leading Large Language Models (LLMs) and their pricing, capabilities, applications, and future potential, ...

Prompt Leakage effect and defense strategies for multi-turn LLM ...

Prompt leakage is an injection attack against LLMs with the objective of revealing sensitive information from the LLM prompt (Perez and Ribeiro, 2022; Carlini ...

Prompt injection attack on Bing chat by Kevin Liu [37] - ResearchGate

As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it's critical to understand its consequences from ...

Google Gemini could expose sensitive information - HT Tech

The AI chatbot does not reply to direct malicious prompts but can be easily manipulated with smart descriptions according to cybersecurity ...

Dangerous AI Workaround: 'Skeleton Key' Unlocks Malicious Content

Microsoft, OpenAI, Google, and Meta GenAI models could be convinced to ditch their guardrails, opening the door to chatbots giving unfettered answers on ...

How to Secure Sensitive Data in LLM Prompts? - Strac

Learn effective strategies to safeguard sensitive data during Large Language Models (LLM) interactions for enhanced data security.