Anaconda 扩展企业 AI 平台：智能体集群与安全测试
Anaconda 宣布将其企业 AI 平台从 Python 工具扩展到智能体（agent）编排、安全测试与生产部署，技术基础来自对 Kilo Code、Enkrypt AI 和 Outerbounds 的三笔收购。新推出的 Kilo Desktop 把智能体集群引入 Visual Studio Code，提供 500 多个模型的访问、本地推理与自动模型路由；安全侧提供覆盖 300 多个攻击类别的自主红队测试、运行时管控和公开的 Agent Incident Registry。公司称 63% 受访者正转向集群模式，并引用 Enkrypt 研究称在 25,000 多个 MCP 服务器中检查的智能体工具有 73% 存在漏洞，同时表示 95% 的《财富》500 强企业使用其软件。
企业级智能体编排与安全治理正成为独立赛道，Anaconda 借收购把 Python 分发生态延伸为 AI 原生开发平台。
Anaconda expands beyond Python with agent swarms and AI security testing
Artificial intelligence development firm Anaconda Inc. is enhancing its enterprise AI platform with tools to coordinate groups of AI agents, test their security and move applications into production.
Today’s introductions continue the company’s expansion beyond its roots in Python software distribution into broader AI development and management.The announcement draws on three recent acquisitions: AI coding company Kilo Code Inc., security specialist Enkrypt AI Inc. and orchestration provider Outerbounds, the business name of Step Computing Inc.
“We are moving Anaconda from being known as a Python package company into being known as an AI-native development platform, essentially helping people build their own enterprise AI applications,” said Chief Executive David DeSanto.
DeSanto said the expansion addresses enterprise concerns about coordinating autonomous work, controlling costs and understanding what agents do when they access software and data. Those concerns were amplified by this summer’s much-publicized incident in which OpenAI agents escaped the company’s test environment and hacked into systems at AI model repository Hugging Face Inc. without informing their human supervisors.
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