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Website title: ProjectDiscovery Neo | Security at Engineering Speed

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Inside the Benchmark: App Architectures, Walkthroughs of Findings, and What Each Scanner Actually Caught
This is Part 2 of our vibe coding security benchmark study. In Part 1, we compared how LLM-based security tools like ProjectDiscovery's Neo and Claude Code performed against traditional SAST and DAST scanners on AI-generated code. We found that LLM-based tools like Neo and Claude Code detected many high-value findings that traditional scanners missed. Between Neo and Claude Code...

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How Neo found an SSRF vulnerability in Faraday, and why it matters for every team that ships code
Executive Summary Neo found a Server-Side Request Forgery (SSRF) vulnerability in Faraday, a widely used HTTP client library in the Ruby ecosystem. This is Neo’s first credited CVE discovery. Neo is ProjectDiscovery’s AI security copilot for tasks like code review and vulnerability discovery. For this finding, Neo reviewed a widely used open source dependency and, without huma...

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AI code review has come a long way, but it can’t catch everything
AI code review can reason about intent, but real incidents often stem from business logic flaws that only show up in runtime. Our benchmark reveals where code-only review falls short.

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Announcing the ProjectDiscovery OSS Bounty Program
Democratizing Security, One Contribution at a Time Today, we're excited to announce the launch of the ProjectDiscovery OSS Bounty Program, a new initiative to reward meaningful contributions to our open-source security tools. The Vision At ProjectDiscovery, we've always believed that security should be accessible to everyone. Our tools are used by researchers, defenders, and...

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New Report: State of AppSec 2026 | Security at Engineering Speed
In 2026, most organizations aren’t shipping “applications” so much as they’re shipping continuous change; across APIs and services, infrastructure and configuration, identity and permissions, feature flags, and AI-assisted code.

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