Montimage is a French AI and cybersecurity company founded in 2004, headquartered in Paris. We combine machine learning, deep packet inspection, and real-time analytics to build intelligent security solutions. Our AI-driven tools protect networks, detect advanced threats, and secure critical infrastructure across 5G/6G, IoT, and cloud environments.
AI & Machine Learning Focus
AI-Powered Threat Detection — ML models for zero-day attacks, anomaly detection, and behavioral analysis
AI-Driven Attack Generation — Using ML/LLMs to craft sophisticated attacks, adversarial samples, and automated exploitation
AI Red Teaming & Safety — Security testing of AI/ML systems, LLM vulnerability assessment, and model robustness evaluation
Deep Learning for Network Security — Neural networks for encrypted traffic classification and intrusion detection
LLM & NLP Applications — Natural language processing for security log analysis and threat intelligence
Federated Learning — Privacy-preserving ML for distributed security monitoring
Explainable AI (XAI) — Transparent and interpretable security decisions
Core Technologies
Deep Packet Inspection — Real-time analysis of 700+ protocols
5G/6G Network Security — Next-gen mobile infrastructure protection
Active participant in 27 EU-funded research projects including Horizon Europe and Digital Europe programmes, with strong focus on AI for cybersecurity.
AI-Focused Projects:
AIAGENT4CYBER — Agentic AI Assistants for Cyber Defense
SECASSURED — AI-based Security Assurance for Trustworthy Engineering
DYNABIC — AI-driven cybersecurity for dynamic infrastructure
A high-performance C library for deep packet inspection (DPI), designed to extract data attributes from network packets, server logs, and structured events for real-time traffic analysis.
A high-performance C library for deep packet inspection (DPI), designed to extract data attributes from network packets, server logs, and structured events for real-time traffic analysis.
First implementation of our research approach for generating formally defined XML properties using LLMs. Includes scenario-based prompting, PostgreSQL context retrieval, and XML syntax validation.
Django-based backend for CTI4BC, a Cyber Threat Intelligence sharing platform designed to integrate data ingestion, enrichment, and interoperability across critical infrastructures.
A Python toolkit providing security checks for domains, URLs, IPs, and more. Integrate easily into any Python application, use via terminal CLI, or run as an MCP server to enrich LLM context with real-time threat insights.
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