Prompt Injection Security Threats

<h1> Static Analysis for LLM Prompt Security: A Methodology for Pre-Deploy Vulnerability Detection </h1> <p><em>How applying SAST principles to LLM prompt strings catches security

<p>Every prompt injection defense I’ve seen makes the same mistake. It asks the wrong question.<br /> The wrong question: “Does this prompt contain dangerous words?”<br /> The

<p>Most companies shipping AI have never once tried to break it.</p> <p>Not because they don't care about security. Because they assume the model handles it. The model was trained

<!-- SC_OFF --><div class="md"><p>When dealing with untrusted outside input, I think you should handle it based on the situation. If you're processing structured data files, it's

<p>On March 14, 2024, our production AI customer support chatbot leaked 1,247 unique PII records (including SSNs, unmasked credit card numbers, and internal API keys) to 892 end

<p>The security controls organizations need when putting AI applications into production.</p> <p>Building a custom AI application is easier than ever.</p> <p>A team can connect an

<h2> Introduction </h2> <p>AI coding assistants like GitHub Copilot, Cursor, Codeium, and Amazon CodeWhisperer now power a significant portion of modern software development and

Prompt injection attacks trick AI models into ignoring instructions. Learn how they work, why they&#8217;re dangerous, and what defenses exist