This Full time on site position offers great opportunities for career growth. Job Description: Join us as an AI-Enhanced Penetration Tester to revolutionize cybersecurity with cutting-edge AI/ML techniques. 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. 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.
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:
Automated Vulnerability Discovery using AI/ML for smarter fuzzing, code analysis (SAST/DAST), and identifying logical flaws.
Threat Modeling & Attack Path Analysis utilizing AI to analyze system architecture and predict likely attack vectors.
Behavioral Anomaly Detection to identify suspicious activities during tests.
Continuous Attack Surface Monitoring (ASM): Utilize AI-driven tools and techniques to continuously monitor and map the organization's dynamic attack surface, identifying new assets, services, and potential entry points. Leverage AI and data analytics to perform assurance activities on the overall vulnerability landscape. Analyzing vulnerability data to identify trends, prioritize remediation efforts, and assess the true risk posture.
Provid

📌 Information Security (Madrid)
🏢 Axa
📍 Madrid