Problem solved

Traditional security scanners cannot keep up with continuously shipped software, missing business logic flaws and producing high false positives. Neo solves this by applying AI and real execution to continuously test and validate exposures, cutting triage time by 95% and enabling faster, more accurate remediation of vulnerabilities.

Use cases

• Continuous security testing for applications and APIs
• Automated penetration testing with AI
• Pull request security review to find vulnerabilities before merge
• Real-time attack surface discovery and monitoring
• Threat modeling of cloud infrastructure and services
• Automated vulnerability validation and remediation tracking
• Exposure analysis for internet-facing assets
• Triage and prioritization of security findings

Audience

• Developers
• Enterprise
• Startups

Pros

• AI-driven reasoning reduces false positives and finds more critical issues
• Real-time asset mapping and monitoring ensures up-to-date testing
• Parallel testing across applications, APIs, code, and infrastructure
• Learns from past runs to improve future detections
• Integrates with open-source Nuclei ecosystem for rapid threat coverage

Cons

• Pricing is not publicly disclosed
• Dependent on cloud connectivity (SaaS model may not suit on-premise requirements)
• Relatively new platform with evolving maturity
• Requires integration effort with existing CI/CD and infrastructure