Cybersecurity AI Governance Principal
Tasks
- Advise executive leadership on AI related risks
- Conduct security reviews for early risk identification
- Define AI governance requirements for model access
- Define governance models for accountability and traceability
- Define secure and responsible AI lifecycle practices
- Embed security into AI and technology solutions
- Ensure alignment with regulatory requirements for responsible AI
- Establish AI security standards and governance controls
- Establish governance guidance for sandboxing and guardrails
- Implement security controls and mitigation strategies
- Incorporate AI related threats into detection and response
- Lead AI ML risk management for adversarial threats
- Partner with security architecture and engineering teams on AI threat vectors
- Proactively identify and remediate security risks
- Serve as primary security and governance advisor for AI initiatives
- Strengthen security posture and compliance
- Support vendor evaluation and risk assessment for AI technologies
- Translate cybersecurity threats into risk based recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
AI Act | AI Governance | AI RMF | Access Control | Adversarial Attacks | Agent security | Authentication | Authorization | Cybersecurity | EU AI | EU AI Act | GDPR | Guardrails | ISO 27001 | Incident Response | LLMOps | Least Privilege | MLOps | Model Monitoring | Model poisoning | NIST AI | NIST AI RMF | Prompt injection | Risk Management | Sandboxing | Secure Engineering | Security Architecture | Security Compliance | Security controls | Threat modeling | Vulnerability Management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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