Anaconda launches agent swarms and AI red-teaming tools for enterprise platform
Anaconda is expanding its enterprise AI platform beyond Python packaging with agent swarms, agentic security testing and production deployment capabilities built on its acquisitions of Kilo Code, Enkrypt AI and Outerbounds. The new Kilo Desktop brings swarms into Visual Studio Code with access to more than 500 models, local model execution and automatic model routing; on security, it offers autonomous red-teaming across more than 300 attack categories, runtime controls and a public Agent Incident Registry. Anaconda cites its own research that 63% of respondents are moving toward swarms, and Enkrypt research finding vulnerabilities in 73% of agent tools examined across over 25,000 MCP servers, while saying 95% of the Fortune 500 use its software.
Agent orchestration plus governance is becoming a distinct enterprise layer, and Anaconda is using acquisitions to turn its Python distribution base into an AI-native development platform.
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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