Vanta
Compliance remediation
Fixing security tests meant manual research. Claude now generates precise, copy-pasteable code to resolve violations instantly.
- Growth from 30 to 130+ internal AI experimenters
Sandboxed Python wrappers bottlenecked parsing. Claude Code migrated the 50k-line library to Go in 20 hours, doubling production speed.
A cloud security platform with over 2,000 employees scans customer files across diverse environments to identify exposed credentials and sensitive data.
Parsing PDF files required wrapping a legacy Python library in a resource-intensive sandbox, causing performance bottlenecks and inconsistent...
“If you go to Reddit or any other blog, you will see tons of questions like ‘how do I solve this in Go?’ and they will tell you, you can’t.”
Cloud security platform for unified visibility and risk prioritization.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Fixing security tests meant manual research. Claude now generates precise, copy-pasteable code to resolve violations instantly.
Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
Deep investigations took months. Now, AI agents reason through evidence and adapt strategies, delivering expert analysis in minutes.
Fixing security tests meant manual research. Claude now generates precise, copy-pasteable code to resolve violations instantly.
Context-blind prompts slowed development. An AI agent now reasons across the full codebase to plan and execute complex tasks instantly.
Scheduling 1,900 roles manually took days of back-and-forth. Conversational AI now books interviews instantly, syncing calendars.
Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.