Objective of job
Lead the security strategy for Mercedes-Benz's AI initiatives, ensuring the protection of AI systems and data assets from evolving threats and vulnerabilities. Champion the integration of robust security practices throughout the AI lifecycle, fostering a culture of security awareness and responsible AI development across the organization and ensure Mercedes-Benz's AI deployments adhere to the highest standards of security, privacy, and ethical conduct, mitigating risks and maintaining customer trust..
-Ensure the security and integrity of Mercedes-Benz's AI systems and data.
-Identify, assess, and mitigate security risks associated with AI technologies.
-Protect AI models from adversarial attacks, data breaches, and other threats.
-Ensure compliance with relevant security, privacy, and ethical guidelines for AI.
-Embed security into the AI development lifecycle.
-Promote a security-conscious culture within AI teams.
Job designation
•Security Architecture and Design
-Design and implement robust security frameworks and architectures for AI and machine learning systems, including cloud-based AI environments.
-Develop and maintain security standards, procedures, and protocols specific to AI systems.
-Provide security guidance and expertise to AI development teams throughout the development lifecycle.
•Risk Assessment and Threat Mitigation
-Conduct risk assessments and vulnerability analyses of AI components, infrastructure, and data pipelines.
-Develop and execute strategies to mitigate potential threats, including adversarial attacks, data poisoning, model theft, and prompt injection.
-Monitor AI systems and networks for potential security threats and anomalies, using AI-driven security tools where appropriate.
•Security Implementation and Testing
-Integrate security measures into the CI/CD pipeline for AI systems.
-Implement access controls, data encryption, and other security mechanisms to protect AI models and data.
-Perform regular security audits, penetration testing, and vulnerability scanning of AI systems
•Compliance and Governance
-Ensure AI systems comply with relevant regulations, standards, and frameworks.
-Develop and maintain documentation on security architectures, procedures, and protocols in terms of AI
-Collaborate with data privacy teams to ensure compliance with data privacy regulations.
-Establish clear policies and procedures for AI use, data handling, and security
•Incident Response
-Participate in security incident response activities related to AI systems.
-Investigate security breaches and implement measures to prevent future occurrences.
•Training and Awareness
-Design and lead security awareness training programs for AI development teams.
-Promote a security-conscious culture within the AI teams.
Qualification
•Technical Skills and Knowledge:
-Strong understanding of security principles, frameworks, and technologies.
-Knowledge of AI security risks and mitigation techniques, such as adversarial attacks, data poisoning, and model theft.
-Experience with security tools and technologies, such as vulnerability scanners, penetration testing tools, and intrusion detection systems.
-Programming skills in languages such as Python, Java, or C++.
-Familiarity with AI compliance standards and frameworks.
•Proficiency in security frameworks and various compliance standards like ISO 27001, SOC, NIST, etc.
•Relevant certifications, CISSP, Certified AI Security Professional (CAISP), AI Security & Governance Certification or Other relevant cybersecurity or AI certifications.
•Proven experience in cybersecurity, with a focus on AI security.
•Experience with AI and machine learning technologies, including model development, deployment, and security.
•Education: Bachelor's degree and above in Computer Science encompassing Information Security, machine learning