AI 智能体 红队ing 工具对比 (2026)

【机辅译·待复审】This is a practical tooling comparison, not 安全 advice. 校验 any control against your own threat model and counsel.

【机辅译·待复审】AI 智能体 红队ing【机辅译·待复审】is the discipline of attacking an autonomous agent on purpose — its system prompt, the 工具 it can call, and the data it can reach — to expose failure modes before an adversary finds them. As agents moved from chatbots to systems that send emails, run code and move money, 红队ing shifted from a 研究 nicety to a release gate. This article compares the four 工具 teams actually reach for （2026）.

【机辅译·待复审】AI 智能体 红队ing, defined

【机辅译·待复审】AI 智能体 红队ing is the deliberate, adversarial testing of an autonomous agent — its prompts, the 工具 it can call, and the data it can reach — to surface failure modes such as prompt injection, tool abuse and data exfiltration before an attacker does.【机辅译·待复审】It is a continuous process, not a one-off scan, and it becomes a release gate the moment an agent can act on the world.

【机辅译·待复审】“Prompt Injection is ranked the #1 risk in the OWASP Top 10 for LLM Applications — exactly the failure class agent 红队ing is built to surface.”
【机辅译·待复审】— OWASP,【机辅译·待复审】Top 10 for Large Language Model Applications · owasp.org

【机辅译·待复审】“As agents moved from chatbots to systems that send emails, run code and move money, 红队ing shifted from a 研究 nicety to a release gate.”
【机辅译·待复审】— LX AI (Xingliang Li), LX 微 SaaS Factory

【机辅译·待复审】The four 工具, defined

【机辅译·待复审】PyRIT (Python Risk Identification Tool for generative AI)【机辅译·待复审】is Microsoft's open-source 红队ing framework. It orchestrates attacks against generative systems, scores outputs and is built for 安全 研究ers who want to script large attack campaigns (【机辅译·待复审】github.com/Azure/PyRIT).

Garak【机辅译·待复审】is NVIDIA's open-source "LLM vulnerability scanner." It probes a model with a large library of probes and plug-ins to surface weaknesses such as prompt injection and data leakage (【机辅译·待复审】github.com/NVIDIA/garak).

Promptfoo【机辅译·待复审】is an open-source testing and 红队ing toolkit for LLM and agent applications, with assertion-based evaluation, a 红队 module and CI integration (【机辅译·待复审】promptfoo.ai).

【机辅译·待复审】AgentRedTeam【机辅译·待复审】is a hosted product that simulates prompt injection, tool abuse and data exfiltration against your agents and re将s a risk register plus shareable reports — built for teams that need evidence without standing up their own harness (【机辅译·待复审】lxsaihub.com/tools/agentredteam).

【机辅译·待复审】Comparison table

【机辅译·待复审】How to choose

【机辅译·待复审】If you have 安全-engineering time and want full control, start with an open-source framework:PyRIT【机辅译·待复审】for campaign orchestration,Garak【机辅译·待复审】for fast model sweeps, orPromptfoo【机辅译·待复审】if 红队ing needs to live in your CI pipeline. If you need evidence fast and would rather not maintain harness infrastructure, a hosted product like【机辅译·待复审】AgentRedTeam【机辅译·待复审】gives you managed runs and a risk register you can hand to an auditor. Most mature teams run a framework for depth and a product for reporting and cadence.

常见问题

【机辅译·待复审】What is AI 智能体 红队ing?

【机辅译·待复审】It is the practice of deliberately attacking an AI 智能体 — its prompts, 工具 and data flows — to surface failure modes like prompt injection, tool abuse and data exfiltration before an adversary does. It is a continuous process, not a one-off scan.

【机辅译·待复审】Should I use an open-source framework or a hosted product?

【机辅译·待复审】Open-source frameworks (PyRIT, Garak, Promptfoo) give you control and are free to run, but you own the orchestration, scoring and reporting. Hosted products (such as AgentRedTeam) trade that setup for managed runs, a risk register and shareable reports. Pick the framework if you have 安全 engineering time; pick the product if you need evidence fast.

【机辅译·待复审】How often should I 红队 an agent?

【机辅译·待复审】At minimum before each meaningful release and after any change to the agent's 工具, model or prompt. Regulators increasingly expect a documented testing cadence for higher-risk systems.

Sources

• Microsoft. 【机辅译·待复审】PyRIT — Python Risk Identification Tool for generative AI. 【机辅译·待复审】github.com/Azure/PyRIT.
• NVIDIA. 【机辅译·待复审】Garak — the LLM vulnerability scanner. 【机辅译·待复审】github.com/NVIDIA/garak.
• Promptfoo. 【机辅译·待复审】Open-source LLM & agent testing / 红队ing. 【机辅译·待复审】promptfoo.ai.
• OWASP. 【机辅译·待复审】Top 10 for LLM Applications【机辅译·待复审】(threat reference for injection and tool abuse).owasp.org.