OWASP Agentic AI Threat T2: Tool Misuse Explained with Examples
Understand OWASP Agentic AI Threat T2: Tool Misuse. Learn how attackers manipulate AI tools, real-world misuse cases, and strategies to prevent these AI security risks.
Category: Blog
OWASP Agentic AI Threat T1: Memory Poisoning – How Attackers Corrupt AI’s Memory
Memory Poisoning is one of the most dangerous risks in OWASP’s Agentic AI Top 15. Attackers can inject false or malicious data into an AI’s memory, leading to harmful and persistent decisions. This blog explains memory poisoning with simple examples and effective defenses.
OWASP Agentic AI Top 15 Threats – Complete Guide to AI Security Risks
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.
OWASP LLM10:2025 – Unbounded Consumption: When AI Overloads Systems
Unbounded consumption happens when LLMs overload systems with endless generation, calls, or recursion. OWASP LLM10:2025 urges developers to apply throttling, budgets, and execution limits to prevent runaway behavior.
OWASP LLM09:2025 – Misinformation: When AI Spreads Falsehoods with Confidence
LLMs can confidently generate false information—misleading users and damaging trust. OWASP LLM09:2025 highlights why AI misinformation is dangerous and how developers can reduce hallucinations and bias.
OWASP LLM08:2025 – Vector and Embedding Weaknesses: The Hidden AI Backdoors
Vector and embedding weaknesses in LLMs create dangerous backdoors that hide inside AI’s internal understanding of language. Learn how OWASP LLM08:2025 exposes this hidden risk—and what to do about it.
OWASP LLM07:2025 – System Prompt Leakage and How It Exposes the Brain of Your AI
OWASP LLM07:2025 highlights a growing AI vulnerability—system prompt leakage. Learn how attackers extract internal instructions from chatbots and how to stop it before it leads to deeper exploits.
When AI Gets Too Much Power: The Danger of Excessive Agency in LLMs
LLMs can be helpful—but when they get too much freedom, they become dangerous. Learn how excessive agency in AI can lead to security failures, and how to stop it with proper guardrails and oversight.
