
Mindgard is an AI security platform that performs attacker-style reconnaissance, automated red teaming, and continuous testing of AI models, agents, and applications to find and fix exploitable vulnerabilities.
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | augmentcode.com | mindgard.ai |
| 定价模式 | 免费增值,免费试用,定价请咨询 | 定价请咨询 |
| 月访问量 | 32.62万 (326,215) | 15.35万 (153,455) |
| 月度环比流量变化 | +6.34万 (+24.1%) | +1959 (+1.3%) |
| 主要市场与份额 | 🇺🇸 美国 (26.3%) | 🇺🇸 美国 (38.4%) |
| 直接访问 / 月 | 13.71万 | 2.16万 |
| 用户评分 | 4.5 | 4.3 |
| 支持的平台 | 网站 | 网站 |

覆盖整个软件开发周期的智能体编排平台
为大型仓库建立架构、依赖和规范的索引,使生成的代码与评审符合团队真实写法。
运行相互衔接的开发流程闭环——代码评审、工单转 PR、故障分诊、依赖升级与安全修复——每个智能体的结果交给下一个。
在指定检查点暂停流程,由工程师审批计划与关键动作,而不是让智能体直接发布未经审查的改动。
智能体可运行在托管云沙箱、本地机器与开发虚拟机(用于敏感代码),或你自己的 AWS 与 GCP 环境中。

Mindgard is an AI security platform that performs attacker-style reconnaissance, automated red teaming, and continuous testing of AI models, agents, and applications to find and fix exploitable vulnerabilities.
Agent-native reconnaissance maps models, agents, tools, instructions, permissions and behaviours the way an attacker would before launching attacks.
Continuous, adaptive testing of AI agents and systems against evolving attack techniques, rather than one-off audits.
Findings are backed by a knowledge base built from more than 175 publicly disclosed AI vulnerabilities across major AI systems.
Runtime protections and remediation guidance help close defensive gaps and verify that fixes actually hold.

Delivers a terminal-first workflow optimized for open-weight models, but offers less graphical enterprise management tooling.
Delivers a terminal-first workflow optimized for open-weight models, but offers less graphical enterprise management tooling.
免费 / 开源Provides an open-source agent development environment running parallel CLI coding agents, but requires manual configuration and setup.


免费 / 开源Provides open-source LLM simulation and guardrails, but requires more manual setup for enterprise security testing than Mindgard.
免费 / 开源Provides open-source LLM simulation and guardrails, but requires more manual setup for enterprise security testing than Mindgard.