The AI acceleration effect
How much of the surge in engineering output is driven by AI-assisted coding and how that breakdown differs between North America and Europe.
The AI Code Deluge:
Are Security Teams Ready?
ProjectDiscovery's 2026 AI Coding Impact Report
200 cybersecurity practitioners told us what AI-assisted coding is really doing to their teams. The short version: engineering is shipping faster than ever, and security is absorbing the impact. This report breaks down where the pressure is building, what is breaking, and what it will take to close the gap.
Read the Report
What You'll Learn
From the speed of AI-driven code output to the trust requirements for AI-powered security tools, here's a look at what the data revealed and what it means for your team.
The security team squeeze
The security team squeeze Where security teams stand today on keeping pace with growing code volume, and why the next 12 months could be a tipping point.
The real risk surface
The real risk surface The top security challenges practitioners say AI-generated code is introducing from secrets exposure to business logic flaws to supply chain risk.
The triage trap
How security teams are actually spending their weeks, and why most of that time goes to sorting and proving rather than fixing.
The noise problem
The noise problem Which categories of alerts practitioners flag as low-value distractions and what that means for the current multi-tool approach to AppSec.
What it takes to trust AI
The specific conditions security practitioners say must be met before they'll let AI into their own workflows — and what that tells tool builders about earning adoption.
report quote
66% of security practitioners spend more than half their time manually validating findings, not resolving vulnerabilities.
Engineering is accelerating.
Security can't afford to fall behind.
Get the data. Download the full report now.