
Snyk tackles AI-generated code security
TL;DR: Snyk has launched Evo Continuous Offensive Security, a new AI-powered product for penetration testing. It aims to continuously find and fix vulnerabilities in applications, specifically addressing the security challenges posed by the rapid development and deployment of AI-generated code.
Key facts
- Category
- Infrastructure
- Impact
- High
- Published
- Source
- The New Stack
Full summary
Snyk has launched a new AI-powered tool for continuous penetration testing, aiming to secure the growing volume of AI-generated code.
Developer security company Snyk has entered the AI-powered penetration testing market with its new product, Evo Continuous Offensive Security (COS). The tool is designed to continuously find and fix vulnerabilities in software applications. Snyk positions it as a modern alternative to traditional penetration testing, which often involves lengthy engagements that provide only a brief snapshot of an application's security posture. The company highlights that such traditional methods, averaging just 15 days of coverage, are insufficient for the fast-paced environment of AI-assisted software development.
The launch addresses a growing concern for technology leaders and development teams: the security of AI-generated code. As developers increasingly use AI assistants to write and ship code faster, traditional security review processes can become a bottleneck, creating a significant gap between development speed and security assurance. Snyk's continuous testing model is intended to close this gap by integrating security directly into the development lifecycle. This shift from periodic, manual testing to automated, continuous monitoring is crucial for organizations looking to leverage AI for development without compromising on security.
Why it matters
As AI accelerates code production, traditional security testing struggles to keep pace. Snyk's continuous, AI-powered approach represents a necessary evolution in application security, helping teams secure software without slowing down development.
Business impact
Companies adopting AI for software development face increased security risks from vulnerabilities in AI-generated code. This tool helps mitigate those risks, potentially reducing the likelihood of costly security breaches and enabling faster, more secure product delivery.
Tags
Primary source: The New Stack