Agentic AI systems are becoming smarter and more powerful—but they’re also introducing a new wave of security threats. OWASP has identified 15 critical risks that developers and security teams need to understand to protect these AI-driven systems. Here’s a beginner-friendly breakdown of each threat and why it matters.
The OWASP Top 10 for LLM Applications 2025 outlines the most critical security threats facing AI tools. From prompt injection to plugin abuse, learn how to secure your chatbot, agent, or LLM integration today.
Data poisoning attacks corrupt AI from the inside—during training. Learn how attackers sneak malicious data into your LLM and how to stop it before it’s too late.
LLMs can leak sensitive data with just the right prompt. Learn how output handling flaws expose private info—and how to stop your chatbot from oversharing by accident.
Prompt injection is one of the most dangerous threats in AI security. This post breaks down how attackers exploit LLM prompts—and what developers must do to defend against it.
Machine learning models are smarter than ever—but also more vulnerable. Learn how attackers fool, clone, and poison AI systems, and the practical steps you can take to secure your models before it’s too late.
AI is transforming cybersecurity with faster detection and smarter protection. But it’s also becoming a target itself. This post explores how AI helps—and how it could hurt—your security strategy if left unchecked.
AI is smart—but it’s not invincible. In this beginner-friendly guide, learn what AI security really means, how hackers are already targeting intelligent systems, and what we can do to keep our AI safe and trustworthy.
