Join us as an AI-Enhanced Penetration Tester to revolutionize cybersecurity with cutting-edge AI/ML techniques. Conduct advanced assessments, automate vulnerabilities, and proactively defend against complex threats. Innovate, analyze, and strengthen digital defenses in a dynamic, forward-thinking environment
About the job
Job purpose
We are seeking a highly skilled and forward-thinking individual to elevate our cybersecurity posture by applying Artificial Intelligence and Machine Learning techniques to traditional penetration testing, attack surface monitoring, and vulnerability assurance. The primary purpose of this role is to enhance the efficiency, depth, and proactive capabilities of our offensive security operations. You will be instrumental in identifying complex vulnerabilities, simulating advanced cyberattacks, and providing data-driven insights that directly contribute to AXA's robust security and digital posture, ensuring effective controls are in place and aligned with our Group Security Corporate function's mandate for advanced assurance and monitoring.
Main missions
As our AI-Enhanced Penetration Tester, your key missions will include:
Conduct Advanced Penetration Tests: Perform detailed security assessments and penetration tests across a wide range of traditional systems, including web applications, APIs, network infrastructure, cloud environments (AWS, Azure, GCP), and internal systems.
Integrate AI into Pentesting Workflows: Research, evaluate, and implement AI/ML tools and techniques to augment and automate various stages of the penetration testing lifecycle, such as:
Intelligent Reconnaissance for advanced OSINT, asset discovery, and mapping complex attack surfaces.
Automated Vulnerability Discovery using AI/ML for smarter fuzzing, code analysis (SAST/DAST), and identifying logical flaws.
Exploit Generation Assistance leveraging AI to assist in developing sophisticated exploits and bypasses.
Threat Modeling & Attack Path Analysis utilizing AI to an
📌 AI-Enhanced Penetration Tester (Madrid)
🏢 Axa
📍 Madrid