AI Security

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.