AI Data Protection Specialist
Tasks
- Assess third party AI vendor security posture
- Define training data protection controls
- Detect and respond to AI data incidents
- Develop AI data protection policies
- Embed security controls into AI environments
- Enforce data governance controls for AI datasets
- Implement anonymization pseudonymization redaction tokenization minimization
- Investigate suspicious AI activity and exfiltration attempts
- Maintain AI risk assessment documentation
- Monitor AI data leakage risks
- Partner with privacy data governance and AI security teams
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Access Control | Adversarial examples | Anonymization | Azure | Azure OpenAI | DLP | Data Governance | Data Loss Prevention | Data Privacy | Data extraction | Data loss | Encryption | GCP | GCP Vertex | GDPR | HIPAA | Loss prevention | Model poisoning | PCI | Prompt injection | Pseudonymization | RAG | Rédaction | Secure Enclaves | Synthetic data | Tokenization | Training Data Extraction | Training data
Education
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