News Article

In AI Today: Secure Code Warrior research reveals AI-generated code introduces an average of 15 vulnerabilities per codebase

July 22, 2026
标语

Govern AI-driven development before it ships

Measure AI-assisted risk, enforce secure coding policy at commit, and accelerate secure delivery across your SDLC.

book a demo
标语

Explore more articles

Lorem Issum diam quis eim leboutis ein selerisque lobortis sepitis beelrisque lobortis sepitis celerisque lobortis celeriskue filmentis celeriskue filmentis celeriskue diam

browse all
Case Study
Filter Label
This is some text inside of a div block.

Supercharged Security Awareness: How Tournaments are Inspiring Developers at Erste Group

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Learn More
Case Study
Filter Label
This is some text inside of a div block.

Security as culture: How Blue Prism cultivates world-class secure developers

Learn how Blue Prism, the global leader in intelligent automation for the enterprise, used Secure Code Warrior's agile learning platform to create a security-first culture with their developers, achieve their business goals, and ship secure code at speed

Learn More
Case Study
Filter Label
This is some text inside of a div block.

One Culture of Security: How Sage built their security champions program with agile secure code learning

Discover how Sage enhanced security with a flexible, relationship-focused approach, creating 200+ security champions and achieving measurable risk reduction.

Learn More
News Article
Filter Label
This is some text inside of a div block.

VMBlog: Secure Code Warrior Research Reveals AI-Generated Code Introduces an Average of 15 Vulnerabilities Per Codebase

Secure Code Warrior introduced the SCW AI Trust Index, a living benchmark for AI coding security that grows with every new model, helping organizations understand and govern the security risks introduced by AI-generated code. Built on a methodology created with RMIT University, Australia, then extended by Secure Code Warrior, the research presents comprehensive benchmarks on how often leading LLMs produce insecure code, with material implications for every enterprise scaling AI-assisted development.

Learn More
News Article
Filter Label
This is some text inside of a div block.

In AI Today: Secure Code Warrior research reveals AI-generated code introduces an average of 15 vulnerabilities per codebase

Secure Code Warrior research reveals AI-generated code introduces an average of 15 vulnerabilities per codebase.

Learn More
News Article
Filter Label
This is some text inside of a div block.

Dark Reading: Choose Wisely: AI-Generated Coding Risk Varies, A Lot

AI-generated code introduces 15 vulnerabilities on average per codebase, but the actual risk depends on framework pairing more than the model used.

Learn More

Secure AI-driven development before it ships

See developer risk, enforce policy, and prevent vulnerabilities across your software development lifecycle.

Book a demo