# owasp
標記為「owasp」的 23 篇文章
Agent Goal Hijacking
Techniques for redirecting AI agent objectives through poisoned inputs, indirect prompt injection, and multi-step manipulation -- the #1 ranked risk in OWASP's 2026 Agentic Top 10.
Fundamentals Study Guide
Study guide covering LLM architecture basics, security terminology, threat models, attack categories, and the OWASP LLM Top 10 for assessment preparation.
OWASP LLM Top 10 Deep Dive
Each OWASP LLM Top 10 item explained with real-world examples, testing methodology for each category, and how to map red team findings to OWASP classifications.
Regulatory & Standards Landscape 2026
Comprehensive mapping of the 2026 AI regulatory landscape including EU AI Act Article 55, NIST AI RMF, MITRE ATLAS, and OWASP Top 10 for LLMs, with compliance checklists, penalty structures, and regulatory timelines.
OWASP LLM Top 10 2025 Deep Dive
Deep dive into each of the OWASP LLM Top 10 2025 vulnerabilities with mitigation strategies.
Impact Categories
Overview of the real-world consequences of successful AI attacks, from misinformation and harmful content to financial fraud and regulatory violations.
AI Supply Chain Security Overview
Comprehensive overview of the AI/ML supply chain attack surface, covering model poisoning, data poisoning, dependency attacks, and risk assessment frameworks aligned with OWASP LLM03:2025.
Framework Mapping Reference
Cross-mapping between OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act requirements for AI security assessments.
OWASP LLM Top 10 2025 Reference
Quick reference for OWASP LLM Top 10 2025 with detection and mitigation summaries.
OWASP LLM Top 10 Quick Reference
Quick reference for the OWASP Top 10 for LLM Applications with definitions, attack examples, and key mitigations for each risk category.
Mapping Findings to OWASP LLM Top 10
Walkthrough for mapping AI red team findings to the OWASP Top 10 for LLM Applications, with classification guidance, reporting templates, and remediation mapping.
OWASP LLM Top 10 Testing Methodology
Comprehensive testing methodology for each vulnerability in the OWASP LLM Top 10 2025.
代理 Goal Hijacking
Techniques for redirecting AI agent objectives through poisoned inputs, indirect prompt injection, and multi-step manipulation -- the #1 ranked risk in OWASP's 2026 Agentic Top 10.
OWASP LLM Top 10 Deep Dive
Each OWASP LLM Top 10 item explained with real-world examples, testing methodology for each category, and how to map red team findings to OWASP classifications.
Regulatory & Standards Landscape 2026
Comprehensive mapping of the 2026 AI regulatory landscape including EU AI Act Article 55, NIST AI RMF, MITRE ATLAS, and OWASP Top 10 for LLMs, with compliance checklists, penalty structures, and regulatory timelines.
OWASP LLM Top 10 2025 Deep Dive
Deep dive into each of the OWASP LLM Top 10 2025 vulnerabilities with mitigation strategies.
影響類別
成功 AI 攻擊之真實世界後果的概覽，從錯誤資訊與有害內容到金融詐欺與法規違規。
AI Supply Chain 安全 概覽
Comprehensive overview of the AI/ML supply chain attack surface, covering model poisoning, data poisoning, dependency attacks, and risk assessment frameworks aligned with OWASP LLM03:2025.
框架對應參考
OWASP LLM Top 10、MITRE ATLAS、NIST AI RMF 與 EU AI Act 要求之間的交叉對應，用於 AI 安全評估。
OWASP LLM Top 10 2025 Reference
Quick reference for OWASP LLM Top 10 2025 with detection and mitigation summaries.
OWASP LLM Top 10 速查
OWASP Top 10 for LLM Applications 之速查——含各風險類別之定義、攻擊範例與關鍵緩解。
Mapping Findings to OWASP LLM Top 10
導覽 for mapping AI red team findings to the OWASP Top 10 for LLM Applications, with classification guidance, reporting templates, and remediation mapping.
OWASP LLM Top 10 Testing Methodology
Comprehensive testing methodology for each vulnerability in the OWASP LLM Top 10 2025.