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Neo Vision Security engineering is evolving. The volume of code, APIs, and infrastructure continues to grow, while security teams remain constrained by time and resources. Security engineering is filled with repetitive, time-intensive tasks: scanning for vulnerabilities, validating fixes, reviewing code for common patterns, triaging alerts, documenting findings, running compliance checks, threat modeling architectures, reviewing patches, coordinating handoffs to developers, and managing remediation workflows. AI has the potential to shift this balance, enabling teams to scale their capabilities. The challenge is how to build AI systems that are reliable, transparent, and powerful enough to handle the full spectrum of security work, empowering security teams to think more strategically, dive deeper into critical areas, and achieve significantly higher productivity. We built Neo as a framework to effectively scale security operations for teams of all sizes, it is designed to handle the tasks you would normally delegate to a skilled security engineer: reconnaissance, testing, validation, code review, and remediation. It combines the reasoning capabilities of modern LLMs with purpose-built tools and execution environments optimized for security workflows.

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Our Commitment to Quality

At ProjectDiscovery, we have always been committed to building high-quality tools that security professionals can rely on. With Neo, we extend this commitment to AI-driven security operations. Neo is built on the same principles that guided us in creating Nuclei and our other open-source security tools. We designed Neo with a focus on:
PrincipleDescription
High-Quality Tools for LLM ExecutionWe design and optimize every tool Neo uses to ensure LLMs can execute security tasks efficiently and accurately. This includes structured outputs, scripting capabilities, browser automation, API parsing, error handling, and fast execution, all optimized for AI-driven workflows.
Adaptability and VersatilityNeo can execute virtually any security task. From reconnaissance to exploitation, threat modeling to patch validation, Neo adapts its approach and tools to handle the full spectrum of security workflows.
Transparency and EmpowermentEvery decision Neo makes is visible: the reasoning, commands executed, and evidence gathered. This transparency ensures you remain in control while empowering security teams to effectively leverage AI for virtually all security tasks.
Extensibility and IntegrationNeo plugs into your existing workflows. It integrates with GitHub, Jira, Linear, Slack, and your security stack, working alongside the tools your team already uses.
Continuous ImprovementNeo learns and improves over time. With persistent memory and feedback loops, Neo adapts to your organization’s unique context, becoming more effective with every workflow it completes.
Isolated Learning ArchitectureNeo does not rely on traditional model training. Instead, we’ve built an isolated system for each user that improves automatically through tools and workflows, where each learned experience becomes unique to your organization. Neo leverages Memory to retain organizational context and Files to store artifacts and learnings, all within your isolated environment, ensuring we never train on your data.