Urgent requirement for AI Chief Information Security Officer for Bangalore Location.

Experience-10-18 Yrs

Job Location- Bangalore

Job Description:

Key Responsibilities:

AI Security & Risk Management

- Establish AI-specific security policies, risk frameworks, and governance models.

- Implement secure-by-design principles in AI/ML models, ensuring robustness against adversarial attacks, bias mitigation, and data poisoning.

- Identify AI-specific threats (e.g., model inversion, prompt injection, model leakage) and establish mitigation strategies.

- Conduct AI threat modeling and security assessments for prototypes and MVPs.

- Guide zero-trust architecture and secure MLOps best practices.

AI Risk & Compliance Governance

- Develop and implement a global AI risk management framework for client AI initiatives.

- Define approval workflows, compliance protocols, and legal review processes for AI projects.

- Ensure AI models and data processing comply with GDPR, HIPAA, CPRA, APRA CPS 234, and other international regulations.

- Oversee the submission of the 16.6.4 compliance form, ensuring all AI projects undergo risk assessment before deployment.

- Act as a liaison between AI teams and compliance, risk, and legal departments to ensure all AI-driven solutions meet regulatory standards.

- Establish AI model validation and testing protocols to mitigate risks before full-scale deployment.

AI Data Security & Privacy

- Define data governance standards for AI initiatives using public, private, and proprietary data.

- Implement secure data handling and anonymization techniques to protect sensitive AI training data.

- Ensure AI models and pipelines adhere to data privacy laws and cross-border data transfer regulations.

- Collaborate with AI engineers and security teams to establish secure AI training, deployment, and inference environments.

- Conduct AI security audits and penetration tests to assess vulnerabilities in AI solutions.

AI Legal & Regulatory Advisory.

- Provide legal risk assessments for AI initiatives across Tax, Audit, and Advisory services.

- Guide AI teams on intellectual property (IP) protection, licensing, and fair AI use policies.

- Ensure AI models adhere to ethics and bias mitigation standards as per global AI regulations.

- Monitor emerging AI laws and regulations and advise leadership on necessary compliance updates.

AI Risk Strategy & Secure Adoption

- Work closely with the AI Technology Architect to ensure secure AI deployment with agentic AI adoption.

- Advise business leaders on AI governance and compliance strategies to maximize AI innovation while mitigating risk.

- Identify best-in-class AI risk management tools (both open-source and proprietary) to enhance Client AI security posture.

- Define AI security guardrails for development teams working on LLMs, autonomous AI agents, and generative AI solutions.

Data Security & Privacy Compliance

- Ensure AI data governance, including data residency, encryption, anonymization, and access controls for sensitive AI datasets.

- Align AI solutions with GDPR, CCPA, HIPAA, ISO 27001, NIST AI RMF, and industry-specific AI security frameworks.

- Define AI data lineage, ownership, and lifecycle security measures.

- Collaborate with data privacy teams to implement privacy-preserving AI techniques (e.g., differential privacy, federated learning).

Legal & Regulatory Compliance for AI

- Interpret AI regulatory frameworks (EU AI Act, US AI Executive Order, UK AI Safety Standards, etc.) and translate them into implementation strategies.

- Establish legal guardrails for AI model explainability, auditability, and fairness.

- Work with legal teams to ensure intellectual property protection for AI models and third-party AI risk management.

- Review AI contracts, licensing agreements, and third-party AI APIs for security and compliance risks.

Hands-On AI Security Guidance for Tech Teams

- Act as a trusted advisor for AI engineers, guiding them on secure coding, AI security tools, and best practices.

- Lead AI security architecture reviews and enforce secure MLOps pipelines.

- Implement AI Red Teaming exercises to test model resilience and adversarial robustness.

- Support secure deployment strategies (e.g., cloud security, containerized AI environments, and model access controls).

AI Security Incident Response & Monitoring

- Establish an AI-specific incident response framework for detecting and responding to AI-related security threats.

- Implement continuous monitoring of AI systems for drift, anomalies, and adversarial exploitation.

- Leverage AI-powered security tools (e.g., AI-driven SIEM, anomaly detection, and ML security scanners).

Key Qualifications & Experience:

Technical & Security Expertise

- 10+ years of experience in cybersecurity, AI risk, data security, or related fields.

- 5+ years of experience in AI/ML security, model governance, or AI compliance.

- Strong understanding of MLOps security, AI adversarial threats, and AI risk frameworks.

- Hands-on experience with AI security tools (e.g., ModelScan, RobustML, Microsoft Purview, IBM AI OpenScale).

- Deep knowledge of cryptographic techniques for AI security (homomorphic encryption, secure multi-party computation, differential privacy, etc.).

- Familiarity with secure AI coding practices (e.g., Python, TensorFlow, PyTorch, LangChain security best practices).

Legal & Compliance Knowledge

- In-depth understanding of global AI regulations and standards (EU AI Act, NIST AI RMF, ISO 42001, GDPR, CCPA, etc.).

- Experience in legal assessments of AI bias, fairness, and explainability.

- Knowledge of intellectual property rights, AI contracts, and AI risk audits.

Leadership & Advisory Skills

- Experience in advising AI development teams, guiding security reviews, and implementing compliance-driven AI solutions.

- Ability to translate complex security and legal concepts into actionable AI governance strategies.

- Strong cross-functional collaboration with technology, legal, compliance, and risk management teams.

Preferred Certifications

- CISSP, CCSP, CISM, CISA (Security & Risk Certifications)

- Certified AI Governance Professional (CAIGP), ISO 42001 Lead Auditor (AI Compliance & Governance)

- Azure AI Security, Google ML Security Specialist (Cloud AI Security)