NeuroNest for Security Research — Offline AI Agent IDE

Security researchers need tools built with the same adversarial mindset they bring to their work. NeuroNest ships with 8 security specialist agents, a 7-layer defense-in-depth engine, fully offline local inference, and a prompt injection firewall — so your toolchain doesn't become an attack surface.

Security Research Capabilities

• 8 security specialist agents: SAST, DAST, Penetration Testing, Cryptography, Secrets Scanner, Dependency Auditor, Compliance, Threat Modeler
• Dual-layer prompt injection firewall: zero-dependency TypeScript regex engine + LLM semantic analysis
• Action Pre-Screening Engine: every agent action is evaluated before execution
• Edit Lock System: declare files and directories that no agent can modify without explicit approval
• Anti-tamper runtime protection: DevTools detection, debugger scanning, SHA-256 file integrity
• HMAC-SHA256 inter-agent signing with nonce-based replay prevention
• Local inference: Ollama and llama.cpp for zero network transmission — all model calls stay on your hardware
• Community edition free forever — all security features included

Typical Workflows

Run the SAST agent across a target codebase, use the Dependency Auditor to flag known-vulnerable versions, dispatch the Threat Modeler to generate an attack surface map — all in a single Agent Recipe running completely offline. The prompt injection firewall accepts test payloads so researchers can study multilayer defense responses.