ProjectDiscovery
Continuously test and secure applications, APIs, code, and cloud infrastructure with AI-driven vulnerability detection and remediation. Trusted by 100,000+ security professionals.
ProjectDiscovery is an open-source alternative to:
ProjectDiscovery Neo
Neo applies reasoning, memory, and real execution across the delivery lifecycle — so security keeps up with continuously shipped software. From the creators of Nuclei, trusted by over 100,000 security professionals.
Key Features
- Continuous Testing: Maps and tests all exposed assets (domains, APIs, endpoints, ports, cloud services) in real-time as infrastructure changes
- Parallel Layer Testing: Specialist workflows test applications, APIs, code, and infrastructure simultaneously, drawing context from code, tickets, and past findings
- Verified Findings: Every issue is reproduced before reporting, with exploitable vulnerabilities routed directly to engineering teams
- Memory & Learning: Each run deepens the map of your codebase, dismissed false positives stay dismissed, and new community detections are integrated daily
- Community-Powered Coverage: Tracks new CVEs, CISA KEVs, public exploits, and internet exposure for fastest detection of emerging threats
- Benchmark Accuracy: Achieves 3x more critical findings with 5x fewer false positives compared to traditional scanners
- Triage Efficiency: Cuts triage time by 95% and enables 3x faster remediation
- Real-Time Discovery: Provides continuous monitoring of every domain, API, and endpoint
Tech / Self-Hosting
- Open Source Foundation: Built on Nuclei and other open-source tools from ProjectDiscovery
- Cloud & Self-Hosted Options: Available via ProjectDiscovery Cloud or self-hosted deployments
- Integration Ready: Connects with existing security workflows, ticketing systems, and development pipelines
- Documentation: Comprehensive guides available at docs.neo.projectdiscovery.io
Neo is designed for offensive security teams running security as infrastructure, with AI specifically engineered for security workflows rather than general-purpose applications.