# tools
標記為「tools」的 110 篇文章
Forensic Tooling for AI Systems
Overview of forensic tools and techniques specifically designed for AI system investigation including model analyzers, log parsers, and behavior profilers.
Tool Proficiency Practice Exam
Practice exam on Garak, PyRIT, Promptfoo, HarmBench, and custom harness development.
Automated Red Teaming Assessment
Assessment of automated attack generation tools including PAIR, TAP, GCG, and custom harness development.
Tool Proficiency Assessment
Test your knowledge of AI red teaming tools, frameworks, automation platforms, and their appropriate application in security assessments with 9 intermediate-level questions.
Skill Verification: Automated Red Teaming
Practical verification of automated attack generation using Garak, PyRIT, and Promptfoo.
Skill Verification: Tool Proficiency
Hands-on verification of proficiency with Garak, PyRIT, Promptfoo, and custom tooling.
March 2026: Agent Exploitation Challenge
Compromise a multi-tool agent system through prompt injection and tool abuse, completing multiple objectives with escalating difficulty and point values.
Community Tool Spotlight Series
Monthly spotlight on community-developed AI red teaming tools and their usage.
Tool Building Hackathon: Defense Toolkit
Collaborative hackathon for building open-source defense tools including guardrails, filters, and monitoring components for LLM applications.
Tool Building Hackathon: Forensics Suite
Community hackathon building forensic analysis tools for AI incident investigation, including log parsers, timeline reconstructors, and attribution aids.
Tool Building Hackathon: Security Scanner
A community hackathon focused on building automated security scanning tools for LLM applications, with prizes for novel detection capabilities.
Burp Suite & AI Security Extensions
Using Burp Suite for AI API security testing: intercepting LLM API calls, AI-specific extensions, fuzzing AI endpoints, testing prompt injection via HTTP, and integrating web security methodology with AI red teaming.
Custom Harness Building Patterns
Design patterns for building custom AI red team harnesses: plugin architecture, result storage, async execution, multi-model support, converter pipelines, and production-grade orchestration.
Garak: LLM Vulnerability Scanner
Deep dive into NVIDIA's Garak LLM vulnerability scanner: architecture, probes, generators, evaluators, custom probe development, and CI/CD integration for automated security scanning.
Lab: Tool Comparison — Same Target, 4 Tools
Hands-on lab comparing Garak, PyRIT, promptfoo, and Inspect AI against the same target model. Evaluate coverage, speed, finding quality, and practical trade-offs of each tool.
promptfoo for Red Teaming
Deep dive into promptfoo for AI red teaming: YAML configuration, assertion-based testing, red team plugins, custom evaluators, and regression testing workflows for LLM security.
PyRIT: Red Team Orchestration
Deep dive into Microsoft's PyRIT (Python Risk Identification Toolkit): orchestrators, scorers, converters, targets, multi-turn campaigns, and advanced red team configuration.
Reporting Tool Development
Building automated reporting tools that transform raw test results into professional assessment reports with reproducible findings.
Agent Architectures & Tool Use Patterns
How ReAct, Plan-and-Execute, and LangGraph agent patterns work — tool definition, invocation, and result processing — and where injection happens in each architecture.
AI Compliance Tools Overview
Overview of tools, methodologies, and frameworks for maintaining AI compliance, including risk assessment, audit methodology, and continuous compliance monitoring.
Lab: Setting Up Your Red Team Environment
Step-by-step guide to setting up a complete AI red teaming environment with Python, API clients, scanning tools, and local models.
Lab: Scanning with Garak
Install and run the Garak LLM vulnerability scanner against local models. Learn to configure probes, generators, and evaluators for comprehensive scanning.
Setting Up an AI Red Team Lab Environment
Practical guide to designing and building a lab environment for AI red team testing, from hardware selection through tool configuration.
Developing Custom AI Red Team Tools
Guide to designing, building, and maintaining custom tools for AI red team engagements.
Evaluating AI Security Vendors and Tools
Framework for assessing, comparing, and selecting AI security vendors, tools, and services for organizational needs.
Tool Procurement Strategy
Strategic approach to evaluating, procuring, and maintaining AI security testing tools including cost-benefit analysis and vendor assessment.
Mapping Model Capabilities
Systematic approaches to discovering and mapping the full capability surface of an AI system, including tools, integrations, permissions, and hidden features.
References & Quick Reference
Comprehensive collection of cheat sheets, quick references, catalogs, checklists, and comparison matrices for AI red teaming, covering attack techniques, defense bypasses, tools, frameworks, and compliance.
Automated Red Teaming Tools Comparison
Comprehensive comparison of automated AI red teaming tools including PyRIT, Garak, DeepTeam, AutoRedTeamer, HarmBench, and ART, with detailed capability matrices, strengths analysis, and use case recommendations.
Red Team Tool Comparison Matrix
Side-by-side comparison of AI red teaming tools -- Garak, PyRIT, promptfoo, Inspect AI, and HarmBench -- covering capabilities, use cases, and integration options.
Red Team Tool Comparison
Comparison of major AI red teaming tools -- Garak, PyRIT, promptfoo, and Inspect AI -- covering capabilities, strengths, limitations, and use cases.
Tool Selection for AI Red Teaming
Framework for selecting and configuring tools for AI red team engagements based on target architecture, engagement scope, and team capabilities.
Walkthroughs
Step-by-step guided walkthroughs covering red team tools, engagement methodology, defense implementation, platform-specific testing, and full engagement workflows.
LangChain Application Security Testing
End-to-end walkthrough for security testing LangChain applications: chain enumeration, prompt injection through chains, tool and agent exploitation, retrieval augmented generation attacks, and memory manipulation.
Security Benchmark Runner Development
Build a benchmark runner for standardized evaluation of LLM security across models and configurations.
Building an Attack Replay Tool
Build a tool that records and replays attack sequences for regression testing and defense validation.
Building a Custom Payload Mutation Engine
Develop a mutation engine that evolves prompt injection payloads through genetic algorithms.
Building Custom Garak Probes (Tool Walkthrough)
Develop custom probe modules for NVIDIA's Garak to test domain-specific vulnerabilities.
HarmBench Custom Behavior Sets
Extend HarmBench with custom behavior specifications for domain-specific vulnerability testing.
Tool Walkthroughs
End-to-end practical walkthroughs for essential AI red teaming tools, covering installation, configuration, execution, and result interpretation.
Building an LLM Traffic Analyzer
Build a proxy-based LLM traffic analyzer for intercepting and analyzing API communications.
Promptfoo CI/CD Pipeline Integration
Integrate Promptfoo into CI/CD pipelines for continuous LLM security regression testing.
PyRIT Custom Scoring Integration
Integrate custom scoring metrics into PyRIT for organization-specific red team evaluation criteria.
Agent Security Scanner Development
Build an automated security scanner for AI agent systems that tests tool use, memory, and workflow vulnerabilities.
Automated Red Team Report Generation
Build an automated system for generating structured red team reports from testing data and findings.
Building an LLM Attack Proxy
Build an intercepting proxy for LLM API traffic that enables payload injection, response analysis, and logging.
Defense Benchmarking Tool Development
Build a tool for benchmarking the effectiveness of defensive measures against standardized attack suites.
Building an Embedding Attack Toolkit
Build a toolkit for conducting embedding-level attacks including inversion, poisoning, and manipulation.
Jailbreak Dataset Curation Tool
Build a tool for curating, organizing, and testing jailbreak prompt datasets with effectiveness tracking.
LLM Traffic Analysis Tool
Build a tool for analyzing and visualizing LLM API traffic patterns to identify attack indicators.
MCP Security Audit Tool
Build a tool for auditing MCP server implementations for common security vulnerabilities and misconfigurations.
Multi-Model Test Harness Construction
Build a unified test harness for running attacks across OpenAI, Anthropic, Google, and local model endpoints.
Payload Mutation Framework Development
Build a payload mutation framework with grammar-based, semantic, and adversarial mutation strategies.
RAG Security Testing Framework
Build a framework for systematic security testing of RAG applications including poisoning and exfiltration.
Forensic 工具ing for AI Systems
概覽 of forensic tools and techniques specifically designed for AI system investigation including model analyzers, log parsers, and behavior profilers.
工具 Proficiency Practice Exam
Practice exam on Garak, PyRIT, Promptfoo, HarmBench, and custom harness development.
Automated 紅隊演練 評量
評量 of automated attack generation tools including PAIR, TAP, GCG, and custom harness development.
章節評量：工具熟練度
15 題校準評量，測試你對 AI 紅隊演練工具生態系的理解——Garak、PyRIT、Promptfoo 與自訂自動化。
Skill Verification: Automated 紅隊演練
Practical verification of automated attack generation using Garak, PyRIT, and Promptfoo.
Skill Verification: 工具 Proficiency
Hands-on verification of proficiency with Garak, PyRIT, Promptfoo, and custom tooling.
建立你的 AI 紅隊實驗室
使用開源模型、測試框架與真實目標應用程式設定本地 AI 紅隊演練實驗室的實務指南。
AI 安全最新動態 — 2026 年 3 月
2026 年 3 月最重要 AI 安全發展、工具更新、研究亮點與新興攻擊向量的月度彙整。
2026 年 3 月：代理利用挑戰
經提示注入與工具濫用破壞多工具代理系統，以升級之難度與分數值完成多個目標。
Community 工具 Spotlight Series
Monthly spotlight on community-developed AI red teaming tools and their usage.
工具 Building Hackathon: 防禦 工具kit
Collaborative hackathon for building open-source defense tools including guardrails, filters, and monitoring components for LLM applications.
工具 Building Hackathon: Forensics Suite
Community hackathon building forensic analysis tools for AI incident investigation, including log parsers, timeline reconstructors, and attribution aids.
工具 Building Hackathon: 安全 Scanner
A community hackathon focused on building automated security scanning tools for LLM applications, with prizes for novel detection capabilities.
Burp Suite 與 AI 安全擴充
以 Burp Suite 進行 AI API 安全測試：攔截 LLM API 呼叫、AI 特定擴充、對 AI 端點模糊測試、以 HTTP 測試提示注入，以及將 Web 資安方法論與 AI 紅隊整合。
Custom Harness Building Patterns
Design patterns for building custom AI red team harnesses: plugin architecture, result storage, async execution, multi-model support, converter pipelines, and production-grade orchestration.
Garak：LLM 漏洞掃描器
深入 NVIDIA 之 Garak LLM 漏洞掃描器：架構、探測、生成器、評估器、自訂探測開發，與自動化安全掃描之 CI/CD 整合。
實作：工具比較——同一目標，4 個工具
對同一目標模型比較 Garak、PyRIT、promptfoo 與 Inspect AI 之實作。評估各工具之覆蓋、速度、發現品質與實務取捨。
promptfoo 用於紅隊
promptfoo 用於 AI 紅隊的深入解析：YAML 組態、以斷言為基礎的測試、紅隊外掛、自製評估器，以及 LLM 安全的回歸測試流程。
PyRIT：紅隊協作編排
深入探討 Microsoft PyRIT（Python Risk Identification Toolkit）：orchestrator、scorer、converter、target、多輪活動，以及進階紅隊組態。
Reporting 工具 Development
Building automated reporting tools that transform raw test results into professional assessment reports with reproducible findings.
代理架構與工具使用模式
ReAct、Plan-and-Execute 與 LangGraph 代理模式如何運作——工具定義、呼叫與結果處理——以及注入於每個架構中發生之處。
AI 合規工具概觀
用以維持 AI 合規的工具、方法論與框架概觀，包括風險評估、稽核方法論，以及持續性合規監控。
實作：設置你的紅隊環境
設置完整 AI 紅隊環境之逐步指南——Python、API 客戶端、掃描工具與本地模型。
實作：以 Garak 掃描
安裝並對本地模型執行 Garak LLM 漏洞掃描器。學習組態 probe、generator 與 evaluator 以進行完整掃描。
Setting Up an AI 紅隊 實驗室 Environment
Practical guide to designing and building a lab environment for AI red team testing, from hardware selection through tool configuration.
Developing Custom AI 紅隊 工具s
指南 to designing, building, and maintaining custom tools for AI red team engagements.
Evaluating AI 安全 Vendors and 工具s
Framework for assessing, comparing, and selecting AI security vendors, tools, and services for organizational needs.
工具 Procurement Strategy
Strategic approach to evaluating, procuring, and maintaining AI security testing tools including cost-benefit analysis and vendor assessment.
繪製模型能力
有系統地發掘並繪製 AI 系統完整能力面的做法，涵蓋工具、整合、權限與隱藏功能。
參考資料與速查
AI 紅隊演練的速查表、快速參考、目錄、檢核清單與比較矩陣的完整集合，涵蓋攻擊技術、防禦繞過、工具、框架與合規。
Automated 紅隊演練 工具s Comparison
Comprehensive comparison of automated AI red teaming tools including PyRIT, Garak, DeepTeam, AutoRedTeamer, HarmBench, and ART, with detailed capability matrices, strengths analysis, and use case recommendations.
紅隊工具比較矩陣
AI 紅隊工具的並列比較——Garak、PyRIT、promptfoo、Inspect AI 與 HarmBench——涵蓋能力、使用案例與整合選項。
紅隊工具比較
主要 AI 紅隊工具的比較——Garak、PyRIT、promptfoo 與 Inspect AI——涵蓋能力、強項、侷限與用途。
工具 Selection for AI 紅隊ing
Framework for selecting and configuring tools for AI red team engagements based on target architecture, engagement scope, and team capabilities.
逐步導覽
涵蓋紅隊工具、案件方法論、防禦實作、平台特定測試與完整案件工作流程的逐步引導式導覽。
LangChain Application 安全 Testing
End-to-end walkthrough for security testing LangChain applications: chain enumeration, prompt injection through chains, tool and agent exploitation, retrieval augmented generation attacks, and memory manipulation.
安全 Benchmark Runner Development
Build a benchmark runner for standardized evaluation of LLM security across models and configurations.
Building an 攻擊 Replay 工具
Build a tool that records and replays attack sequences for regression testing and defense validation.
Building a Custom Payload Mutation Engine
Develop a mutation engine that evolves prompt injection payloads through genetic algorithms.
Building Custom Garak Probes (工具 導覽)
Develop custom probe modules for NVIDIA's Garak to test domain-specific vulnerabilities.
HarmBench Custom Behavior Sets
Extend HarmBench with custom behavior specifications for domain-specific vulnerability testing.
工具導覽
必備 AI 紅隊演練工具的端對端實務導覽，涵蓋安裝、設定、執行與結果詮釋。
Building an LLM Traffic Analyzer
Build a proxy-based LLM traffic analyzer for intercepting and analyzing API communications.
Promptfoo CI/CD Pipeline Integration
Integrate Promptfoo into CI/CD pipelines for continuous LLM security regression testing.
PyRIT Custom Scoring Integration
Integrate custom scoring metrics into PyRIT for organization-specific red team evaluation criteria.
代理 安全 Scanner Development
Build an automated security scanner for AI agent systems that tests tool use, memory, and workflow vulnerabilities.
Automated 紅隊 Report Generation
Build an automated system for generating structured red team reports from testing data and findings.
Building an LLM 攻擊 Proxy
Build an intercepting proxy for LLM API traffic that enables payload injection, response analysis, and logging.
防禦 Benchmarking 工具 Development
Build a tool for benchmarking the effectiveness of defensive measures against standardized attack suites.
Building an Embedding 攻擊 工具kit
Build a toolkit for conducting embedding-level attacks including inversion, poisoning, and manipulation.
越獄 Dataset Curation 工具
Build a tool for curating, organizing, and testing jailbreak prompt datasets with effectiveness tracking.
LLM Traffic Analysis 工具
Build a tool for analyzing and visualizing LLM API traffic patterns to identify attack indicators.
MCP 安全 Audit 工具
Build a tool for auditing MCP server implementations for common security vulnerabilities and misconfigurations.
Multi-模型 Test Harness Construction
Build a unified test harness for running attacks across OpenAI, Anthropic, Google, and local model endpoints.
Payload Mutation Framework Development
Build a payload mutation framework with grammar-based, semantic, and adversarial mutation strategies.
RAG 安全 Testing Framework
Build a framework for systematic security testing of RAG applications including poisoning and exfiltration.