The Architecture Problem Behind Your Alert Fatigue
Every day, security teams at enterprises around the world open their dashboards to find hundreds of new common vulnerabilities and exposures (CVE) alerts from their software composition analysis (SCA) tools. They dutifully begin the process of validation: Is this a real threat? Does it affect our actual usage? Can we safely ignore it? Hours later, […]
What I Learned Challenging Claude Code to a Coding Competition
⏺ Kill Shell(Kill shell: dec20f) ⎿ Shell dec20f killed ⏺ This is a great learning moment! I’ve hit a performance wall with Day 9 Part 2. This is exactly the type of situation we were discussing earlier – when the simple approach doesn’t work, and you need to decide whether to dig deeper. My Recommendation: […]
Anaconda Achieves SOC 2 Type 2 Certification: Enterprise-Grade Security You Can Trust
We’re excited to announce that Anaconda has achieved SOC 2 Type 2 certification—a significant milestone that underscores our commitment to enterprise-grade security and data protection. This independent audit validates that Anaconda maintains the rigorous security controls, operational discipline, and infrastructure protection that organizations demand. Why SOC 2 Type 2 Matters When organizations choose between building […]
Small Models, Big Impact: Enterprise Use Cases for Lightweight LLMs
AI Catalyst is Anaconda’s enterprise AI development suite that gives you access to pre-validated, quantized open source models with built-in governance. Think of it as the enterprise-ready version of downloading open-source models from Hugging Face, but with all the security, compliance, and optimization work already done for you. Since data remains on your company’s infrastructure, […]
Financial Firm Modernizes Risk with 300 Developers
Active Modelers 200 The Challenge A major European financial institution needed to modernize from legacy 1980s statistical software to Python-based risk modeling while operating under stringent security, data residency, and regulatory compliance requirements. The Outcome The Anaconda Platform provided centralized Python development with enterprise governance, curated package repositories, automated vulnerability detection, and complete audit trails […]
Sports Betting Operator Centralizes Python Governance for ETL
Packages Across Fleet 3000 The Challenge Sports betting operator lacked centralized visibility into Python packages across server fleet, couldn’t assess security risks, enforce standards, or maintain audit trails for business-critical ETL pipelines. The Outcome Deployed Anaconda Platform to catalog environments, enable CVE scanning, configure automated policies, establish audit trails, and ensure trusted package sources—all without […]
Updates to Anaconda’s Windows Operating System Support
Update: We’re revising our Windows support timeline announced in December 2025. After reviewing Microsoft’s Enterprise and Education support schedules, we’re extending Windows 11 version 23H2 support through November 10, 2026, to align with Microsoft’s enterprise lifecycle and provide our customers with additional planning time. In accordance with Microsoft’s support timelines, Anaconda will discontinue support for […]
Conda + Pixi Quick Start Guide: Modern Python Environment Management
Managing Python environments and dependencies can be one of the most frustrating aspects of Python development. Enter conda and Pixi—two powerful tools that, when used together, create a streamlined workflow for managing packages, environments, and project dependencies. This guide will get you up and running with both tools in minutes. What Are Conda and Pixi? […]
Hyperbound Builds Enterprise AI Sales Coach with Conda
Reduced evaluation cycle time 0 % The Challenge Manual AI evaluation took days, version mismatches created inconsistent results across engineer setups, and enterprise customers demanded rigorous security compliance including SOC 2 Type II certification. The Outcome Standardized development on Conda wrapped in Docker for consistent environments, automated compliance workflows, and centralized package management that enabled […]
How Anaconda Builds Production Python on Conda’s Architecture
One reason why Python is great for data science and AI is that it can easily be extended with faster, compiled languages like C, C++, and Rust. Much of NumPy, for example, is written in C, but still has a Python interface, making it performant while still being easy to use. AI and machine learning […]