Anaconda Adds EnkryptAI to Advance AI-Native Development
Anaconda Expands Its AI-Native Development Platform
Alan Shimel speaks with David DeSanto, CEO of Anaconda, and Sahil Agarwal, CEO of EnkryptAI, during Techstrong TV’s Black Hat 2026 coverage. The conversation centers on Anaconda’s acquisition of EnkryptAI and what it means for AI-native development. DeSanto explains that Anaconda is moving beyond its roots in Python packaging and software supply chain. The company is building a broader platform for creating, securing and moving AI projects into production.
DeSanto says many organizations still struggle to get AI projects across the finish line. He notes that about 80% of AI projects never make it into production. Security, reproducibility and governance are often part of the problem. Anaconda wants to help teams close those gaps inside one trusted development platform.
Security Needs to Be Built Into AI Workflows
Agarwal explains why EnkryptAI became part of that strategy. His team focused on securing AI systems and helping organizations trust what machines produce. He says security should not be bolted on after the fact. It should be built into the agent, the infrastructure and the development process from the beginning.
That idea fits Anaconda’s larger direction. AI-native development requires more than experimentation. Teams need secure models, reproducible environments and workflows that can scale. They also need a way to support developers without adding unnecessary friction. Bringing EnkryptAI into Anaconda is meant to support that goal.
From Python Packaging to Production AI
The discussion also looks at Anaconda’s evolution. DeSanto says Anaconda was once best known as a Python packaging company. It also became a trusted software supply chain foundation for many organizations. With recent acquisitions, including Kilo and EnkryptAI, Anaconda is trying to accelerate a roadmap that would have taken years to build.
The goal is to give teams a complete path from idea to production. Developers should be able to build what they have in mind, secure it and move it forward with confidence. That is the core promise behind Anaconda’s AI-native development platform.
AI Teams Need Trust, Scale and Speed
Alan, DeSanto and Agarwal also discuss culture and customer needs. DeSanto says the acquisition was not only about technology. It was also about finding teams with a shared focus on customers and trust. Agarwal adds that founders start by building products customers love, then look for ways to scale that impact.
For enterprises working on AI, the message is clear. AI-native development must connect security, reproducibility and developer experience. Anaconda’s acquisition of EnkryptAI is designed to help more teams move AI work from prototypes into production.
