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View AllExcessive Agency in AI Agents: Tool Permission Risks
Excessive agency appears when an AI agent has more authority, tool access, or autonomy than the workflow actually requir...
Sensitive Information Disclosure in LLM Apps
Sensitive information disclosure is easiest to control when teams map where data enters, transforms, persists, and leave...
Prompt Injection Risk Register Template for AI Governance
A risk register turns prompt injection from a vague concern into an owned, evidenced, and reviewable governance process....
LLM Security Checklist: OWASP Controls for AI Apps
LLM security requires production controls across prompts, retrieval, tools, permissions, logs, and incident response. La...
Multimodal Prompt Injection: Hidden Image & Document Attacks
Multimodal prompt injection expands security review from words to pixels, layout, screenshots, and model-visible context...
Prompt Injection Examples: Safe Patterns, Risks & Defenses
Prompt injection examples are most useful when they explain the trust boundary and the defense, not just the trick. Last...
Prompt Injection vs Jailbreak: Key Differences
Prompt injection and jailbreak attacks overlap, but they are not the same risk. One targets instruction hierarchy and ap...
AI Agent Prompt Injection: Risks, Examples & Defenses
AI agent prompt injection becomes dangerous when a model can read untrusted content and act through tools. The security ...
RAG Prompt Injection: Risks, Examples & Defenses
RAG prompt injection turns retrieved content into an attack surface. The safest architecture treats every document, webp...
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