Security Analyst

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