Training led by an active researcher
Not an instructor reading from a fixed deck: Kopnex trainings are built on real offensive research practice. Cyber and AI, for all levels, tailored to your needs. Let's talk.
Cybersecurity
Cyber Awareness
All teams · On-site or remote
Awareness training for non-technical teams on everyday cyber risks: phishing, passwords, social engineering, safe use of business tools.
Request this training →Cybersecurity Basics
Technical teams · On-site or remote
Cybersecurity fundamentals for technical teams: best practices, security hygiene, core concepts.
Request this training →Advanced Anti-Social Engineering / Phishing
Exposed teams · On-site or remote
Advanced training to recognize and counter sophisticated social engineering and phishing techniques, with realistic simulations.
Request this training →Cybersecurity Advanced
Technical teams · On-site or remote
A deeper dive for technical teams: attack and defense techniques, system hardening, incident response.
Request this training →Cyber Security Research
Researchers, pentesters, red teamers · On-site or remote
Vulnerability research methodology, reverse engineering, exploit development and responsible disclosure, led by an active researcher.
Request this training →Social Engineering & Vulnerability Research
Researchers, red teamers · On-site or remote
Expert techniques combining social engineering tradecraft with vulnerability research: pretexting, physical and human attack surface, and using social engineering as an entry vector for deeper security research.
Request this training →Artificial Intelligence
AI Basics
All teams · On-site or remote
Understand the fundamentals of generative AI and concrete business use cases, no technical prerequisite.
Request this training →AI Advanced
Technical teams · On-site or remote
Go deeper on using and integrating AI into your processes: agents, automation, advanced use cases.
Request this training →AI for Cyber
Security teams · On-site or remote
AI applied to offensive and defensive security: detection, analysis, AI-assisted research, and risks specific to AI systems.
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