What OpenAI’s Astra Means for AI Security Teams
OpenAI’s Astra model can find and chain zero-days on its own. Here’s what that capability jump means for how enterprises secure AI in production.
AI on Your Own Terms: Why Model Freedom Isn’t Optional Anymore
OpenAI cut off Cursor’s model access after a change in ownership. See why model-agnostic AI tools like Kilo protect developers from that kind of disruption.
How to Differentiate When Everyone Can Download the Same Model
A hedge fund beat every frontier model it tested In June 2026, Bridgewater’s AIA Labs published results with Thinking Machines Lab on six information-triage tasks drawn from their investors’ daily work, including whether a news article is relevant to a macro investor, whether a central bank document signals a rate move, and where boilerplate begins […]
Main-x Is Now Generally Available, Production-Ready
What’s New Today main-x is generally available (GA), and with it comes features that we have added since the open beta launch: CVE data, SBOMs, and even more packages. Quick refresher: main-x is an authenticated Anaconda channel that extends the main channel by adding 13,000+ packages to your existing setup, all built and maintained by […]
What It Means To Secure AI on Your Own Terms: Anaconda Acquires Enkrypt AI
Every enterprise can now tell you how fast its AI agents are moving. Fewer can tell you what those agents are actually doing. Picture this: you’re a global enterprise, and one of your engineering teams has just completed a year’s worth of work in under two months, an accomplishment brought by standardizing their workflows around […]
Why Anaconda Signed the Open Weights AI Letter
Anaconda has signed the Open Weights and American AI Leadership letter, joining NVIDIA, Microsoft, Amazon, Snowflake, OpenAI, and over 230 organizations. Here’s the common reality about how AI gets adopted today. A team picks a model, an agent, they build fast, and weeks or months later someone asks: do we know how this was trained, […]
Open Weights: How Enterprises Keep Ownership of Their Own AI
Last week, 25 companies and organizations, including NVIDIA, Microsoft, Meta, and Mistral, sent an open letter to Washington arguing that open-weight AI models deserve protection, not restriction. At Anaconda, we support this stance. In fact, everything the letter argues from a policy standpoint, has been core to our ethos for years. Who owns the value […]
AI on Your Own Terms: Anaconda Acquires Kilo Code
There’s an old public service announcement from a generation ago: It’s 10 p.m. Do you know where your children are? The question was designed to make people stop and reckon with something they’d been assuming was fine. Every CIO, CTO, and CISO in the world should be asking a version of that question about AI […]
Kilo Code Joined Anaconda: What AI Builders Should Know
Kilo Code, also known as “Kilo,” is an open source, model-agnostic, coding agent that lets you write faster, better software using your favorite IDE or the command line. If you’ve spent any time in VS Code, JetBrains or your terminal writing AI-assisted code over the past year, there’s a decent chance that Kilo has come […]
Local Enterprise AI That Actually Works: Anaconda Agent Studio + NVIDIA DGX Spark
Part 2: And Now He Is Introducing Us to His New Friend Ana If you have landed here and haven’t read part 1 of this blog series, then I recommend checking that out first. If you want just hop in starting with part 2, then you do you. To help, here is the tl;dr: How […]