A Prompt Injection Vulnerability occurs when user prompts alter the...
Read More- TOP 10 FOR GEN AI
2025 Top 10 Risk & Mitigations for LLMs and Gen AI Apps
Expore the latest Top 10 risks, vulnerabilities and mitigations for developing and securing generative AI and large language model applications across the development, deployment and management lifecycle.
Read the OWASP Top 10 for LLMs 2023-24
LLM02:2025 Sensitive Information Disclosure
Sensitive information can affect both the LLM and its application...
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LLM03:2025 Supply Chain
LLM supply chains are susceptible to various vulnerabilities, which can...
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LLM04:2025 Data and Model Poisoning
Data poisoning occurs when pre-training, fine-tuning, or embedding data is...
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LLM05:2025 Improper Output Handling
Improper Output Handling refers specifically to insufficient validation, sanitization, and...
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LLM06:2025 Excessive Agency
An LLM-based system is often granted a degree of agency...
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LLM07:2025 System Prompt Leakage
The system prompt leakage vulnerability in LLMs refers to the...
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LLM08:2025 Vector and Embedding Weaknesses
Vectors and embeddings vulnerabilities present significant security risks in systems...
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LLM09:2025 Misinformation
Misinformation from LLMs poses a core vulnerability for applications relying...
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LLM10:2025 Unbounded Consumption
Unbounded Consumption refers to the process where a Large Language...
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