Director, Cyber Security Architect
Tasks
- Apply anonymization pseudonymization
- Architect identity and secrets management
- Create tests for model poisoning and evasion
- Define enterprise AI security architecture
- Design adversarial ML defenses
- Develop reference architectures for secure AI data pipelines
- Establish controls for sensitive data ingestion
- Implement encryption at rest and in transit
- Implement guardrails and standards for AI model training and inference
- Implement network segmentation and least privilege access
- Implement secure evaluation methods
- Maintain data lineage for AI workflows
- Mitigate prompt injection and jailbreaking
- Protect against model theft and exfiltration
- Secure MLOps and ML platforms
- Use tokenization
Perks/Benefits
Skills/Tech-stack
AWS | Access Management | Adversarial Machine Learning | Anonymization | Azure | Cloud Security | Data Ingestion | Data Lineage | Encryption | Feature Engineering | GCP | HSM | Identity and Access Management | Identity and access | KMS | Key Management | MLOps | Machine Learning | Model Inference | Model Registry | Model Serving | Model Training | Model poisoning | Model theft | Network Segmentation | Orchestration | Policy-as-Code | Prompt injection | Pseudonymization | Secrets management | Secure Evaluation | Tokenization | “as-code”
Education
N/A
Roles
AI | AI Security Architect | Architect | Cybersecurity Architect | Security | Security Architect
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