aiqbench analysis
This is a vendor product announcement, and its key figures (roughly eight new vulnerabilities per remediation, AI-generated code carrying several times more flaws per line, 600% supply-chain growth) come from Snyk's own data and have not been independently verified. The underlying point is more useful: AI coding agents are producing code faster than review processes can keep up, and flaws such as business logic and access control errors are hard for pattern-based scanners to catch. Readers should judge agentic security tools on whether they measurably reduce that backlog, not on the framing.
Introducing Evo Agentic AppSec: Security That Keeps Up With AI Development

AI-driven development is outpacing traditional security workflows. Snyk’s Agentic AppSec uses security agents to find, fix, and verify vulnerabilities continuously, while humans set the bar.
AI is changing how software gets built. Coding agents produce more code than teams can review, and current models introduce several times more vulnerabilities per line than human developers. Many of those flaws involve business logic, access control, and authentication, areas where pattern-based scanners have limited visibility. Most security teams were already behind before any of this started. They are flooded with findings, many of which are noise, while managing a backlog of latent risk. Attackers are using AI to identify weaknesses, combine lower-severity issues into more serious exploits, and accelerate attacks. As of October 2026, Snyk’s data showed roughly eight new vulnerabilities introduced for every one remediated. AI-driven development…
Excerpt shown under the publisher's RSS terms · 110 words · full text and figures are on the publisher's site
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