AI-Powered Penetration Testing and Neural-Network Malware Analysis

Beryllium Security develops AI-powered offensive security tooling aimed at penetration testers, ethical hackers, and enterprise security teams. Its flagship product, Nebula, is an open-source command-line assistant that lets practitioners drive security assessments through a natural language interface. Nebula automates reconnaissance, note-taking, and vulnerability analysis, and integrates with any command-line tool. It can run local models such as Meta's Llama or Mistral via Ollama, allowing teams to keep engagement data private rather than sending it to cloud services.

For professional teams, the company offers Nebula Pro, an enterprise PenTestOps platform that covers the full testing lifecycle from reconnaissance through reporting. It provides multiple AI assistants for terminal operations, step recommendations, and report generation, plus automated attack-path mapping kept under human oversight. The platform includes built-in screenshot annotation, PII masking, support for parallel engagements, and audit trails, positioning AI as an augmentation of the human tester rather than a replacement and aiming to reduce manual overhead during complex assessments.

Beryllium's third product, the Deep Application Profiler (DAP), takes a different approach to threat detection. Rather than relying on traditional virus signatures, DAP uses neural networks to analyze an executable's internal structure and intent, enabling it to flag new and custom malware that signature-based tools often miss. It reverse-engineers unmanaged code in executables and is delivered through both a web interface and an enterprise API, serving malware analysts and security teams that need detection capabilities for zero-day and previously unseen threats.