AI-Enhanced Penetration Tester

About the job

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!

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.

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 analyze system architecture and predict likely attack vectors.
  • Payload Generation & Obfuscation employing AI to create highly effective and evasive payloads.
  • 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. Proactively detect changes that could introduce new risks or expand the attack surface.
• Vulnerability Landscape Assurance:
  Leverage AI and data analytics to perform assurance activities on the overall vulnerability landscape. This includes:
  • Validating the effectiveness of vulnerability scanning tools.
  • Analyzing vulnerability data to identify trends, prioritize remediation efforts, and assess the true risk posture.
  • Performing re-verification of remediated vulnerabilities using AI-assisted methods to ensure closure and prevent recurrence.
  • Providing data-driven insights into the efficacy of security controls.
• Tool Development & Customization:
  Develop custom scripts, tools, and integrate AI/ML models to enhance existing penetration testing platforms and create novel offensive security capabilities.
• Reporting & Remediation:
  Document detailed findings, including proof-of-concept exploits, risk assessments, and clear, actionable recommendations for remediation to development and operations teams.
• Research & Innovation:
  Stay at the forefront of AI advancements in cybersecurity, actively research new attack techniques, and explore emerging AI/ML applications for offensive security.

We are looking for someone with the following experience and skills:

Experience

• Required:
  • 3+ years of hands-on experience in penetration testing, ethical hacking, or offensive security roles.
  • Proven experience or strong demonstrable interest in applying AI/ML concepts and tools to cybersecurity challenges.
• Preferred:
  • Experience with specific AI-powered security tools for vulnerability scanning, threat intelligence, attack surface management, or code analysis.
  • Experience in developing or customizing AI/ML models for offensive security tasks (e.g., natural language processing for social engineering, anomaly detection for network traffic, predictive modeling for vulnerabilities).
  • Active participation in the security community (e.g., CTFs, conferences, open-source contributions related to AI in security).

• Deep Penetration Testing…