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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.

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 ...

Researchers reveal how Microsoft Copilot can be manipulated by prompt injection attacks to generate convincing phishing messages inside trusted AI summaries. AI assistants are rapidly becoming a core ...

On Thursday, a few Twitter users discovered how to hijack an automated tweet bot, dedicated to remote jobs, running on the GPT-3 language model by OpenAI. Using a newly discovered technique called a ...

Attackers are increasingly exploiting generative AI by embedding malicious prompts in macros and exposing hidden data through parsers. The switch in adversarial tactics — noted in a recent State of ...

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The UK’s National Cyber Security Centre (NCSC) has highlighted a potentially dangerous misunderstanding surrounding emergent prompt injection attacks against generative artificial intelligence (GenAI) ...

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 ...

Prompt injection vulnerabilities may never be fully mitigated as a category and network defenders should instead focus on ways to reduce their impact, government security experts have warned. Then ...