AgentRedTeam
在攻击者之前对 AI 智能体做红队测试：提示注入、工具滥用与越权场景，输出可复现的漏洞报告与修复优先级。
旗舰工具页：标题、卖点与首段已中文化；FAQ 等长段可能仍为英文，待复审。
在攻击者之前对 AI 智能体做红队测试：提示注入、工具滥用与越权场景，输出可复现的漏洞报告与修复优先级。
功能概览
- Identify likely attack vectors
- Simulate prompt-injection and tool-abuse risks
- Score severity per finding
- Exportable risk register for compliance
What attack types does AgentRedTeam simulate?
It runs the attacks that actually break agents in production: prompt injection that hijacks instructions, tool-abuse that calls functions for harm, and data exfiltration that leaks secrets through benign-looking outputs. Each test is a realistic adversarial turn, not a generic lint.
How are findings scored and reported?
Every finding gets a severity score plus the exact replay that triggered it, so engineers reproduce before fixing. The report is exportable as a risk register, which is what security and compliance teams need for sign-off.
When should a team run red-team tests?
Run them before any agent touches customer data or money, after every major prompt or tool change, and on a schedule for agents in production. The cheapest fix is a simulation in staging, not an incident post-mortem.
Does it replace a human red team?
It automates the repetitive attack catalogue so humans focus on novel threats. For high-risk agents, pair it with manual adversarial review; AgentRedTeam gives you continuous coverage and a paper trail between those sessions.
一览
- Starts at $79/month (highest tier of the 8 paid 工具)
- Simulates prompt injection, tool abuse, data exfiltration
- Exports a severity-scored risk register
常见问题
What does AgentRedTeam do?
AgentRedTeam runs automated adversarial simulations against autonomous AI agents — prompt injection, tool abuse, and data exfiltration — then delivers a prioritized vulnerability report with severity scores and reproducible replays.
How much does AgentRedTeam cost?
Plans start at $79/month (billed $790/year). See the live tool for the current plan and any free trial before testing production agents.
Who is AgentRedTeam for?
Security, AI-platform, and product teams shipping autonomous agents that call 工具 or handle sensitive data. It fits teams that need proof of resilience, not just a claim of safety.
What attacks does it actually simulate?
It simulates prompt-injection that overrides instructions, tool-abuse that misuses connected functions, and data-exfiltration that leaks secrets — the failure modes that cause real agent incidents.
Can I export results for compliance?
Yes. Findings export as a risk register with severity and replay steps, which security and compliance reviewers use for sign-off and audit evidence.
Is automated testing enough for a high-risk agent?
It covers the known attack catalogue continuously; pair it with manual adversarial review for novel threats. Run it before launch, after prompt or tool changes, and on schedule in production.
Part of the LX one-person micro-SaaS factory — a curated set of tight-vertical AI 工具.