Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
A cyber security platform serving over 1,000 customers helps engineering teams detect and fix vulnerabilities across their software supply chains.
Developers faced an overwhelming volume of alerts where traditional tools blindly flagged harmless placeholders as critical risks like leaked...
“Security tools are notorious for generating high volumes of alerts. This is a widespread problem across the industry.”
Static analysis and supply chain security platform for developers and AppSec teams.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Manual reviews couldn't keep pace. Claude now uses IDE tools to validate logic, cutting first reviews from hours to minutes.
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
AI coding tools outpaced manual review. Reasoning models now audit complex logic, cutting pull request cycles by up to 50%.
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
Scaling required 5 hours of manual review per case. Claude now replicates expert reasoning in under 7 minutes with 95% accuracy.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Tools blindly flagged placeholders as critical leaks. AI now discerns context to separate harmless code from real threats.
A cyber security platform serving over 1,000 customers helps engineering teams detect and fix vulnerabilities across their software supply chains.
Developers faced an overwhelming volume of alerts where traditional tools blindly flagged harmless placeholders as critical risks like leaked...
“Security tools are notorious for generating high volumes of alerts. This is a widespread problem across the industry.”
Static analysis and supply chain security platform for developers and AppSec teams.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Manual reviews couldn't keep pace. Claude now uses IDE tools to validate logic, cutting first reviews from hours to minutes.
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
AI coding tools outpaced manual review. Reasoning models now audit complex logic, cutting pull request cycles by up to 50%.
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
Scaling required 5 hours of manual review per case. Claude now replicates expert reasoning in under 7 minutes with 95% accuracy.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.