Posted inAI
Stop AI Prompt Injections: A Hands-On Guide to LlamaGuard 3
Don't let your AI go rogue. This guide shows you how to implement Meta's LlamaGuard 3 to block prompt injections and ensure safe AI interactions using Python.
Posted inSecurity
Shadow AI: The Hidden Perils of Unsanctioned AI Tool Usage in Organizations
Shadow AI poses significant, unmanaged risks to organizations, from severe data leakage to critical compliance violations. Implementing clear policies, robust technical controls, and providing secure approved alternatives are crucial steps to manage the unauthorized use of AI tools and protect your sensitive information.
Posted inSecurity
Securing LLM-Powered Applications: OWASP Top 10 for LLMs Explained
The OWASP Top 10 for LLMs lists the ten most critical security risks for AI-powered applications. This guide walks through prompt injection, insecure output handling, sensitive data leaks, and excessive agency — with practical Python code you can apply immediately to harden your LLM-powered app.
Posted inSecurity
Self-Hosting AI Models Securely: A Practical Guide to Data Privacy
Worried about AI data privacy? Explore secure self-hosting options. This step-by-step guide empowers you to deploy AI models on your own servers, ensuring your sensitive data remains private and under your control.
Posted inSecurity
Prompt Injection Attacks: Understanding and Defending Your AI Applications
Prompt injection attacks pose a significant threat to AI applications, manipulating Large Language Models (LLMs) to perform unintended actions. This guide explains how these attacks work and provides practical strategies to protect your systems from malicious prompts.