AI Security Expert
Tasks
- Assess AI lifecycle security risks
- Assess third party AI component security
- Build AI specific detections and response playbooks
- Create AI control mapping and design patterns
- Define data leakage prevention requirements
- Define minimum security controls for AI solutions
- Define secure integration patterns for Microsoft 365
- Design AI security architecture reviews
- Ensure zero trust and secure by design alignment
- Evaluate risk for external generative AI tools
- Lead enterprise AI security policies and standards
- Perform AI threat modeling
- Set AI vendor security acceptance criteria
- Translate AI vendor guardrails into contractual requirements
Perks/Benefits
- N/A
Skills/Tech-stack
AI Lifecycle | AI Risk Management Framework | AI Security | AI lifecycle security | Access Control | Amazon Web Services | Application Firewall | Cloud Security | Cloud platform | Control mapping | Data Classification | Design Patterns | Detection engineering | DevSecOps | Firewalls | Generative AI | Google Cloud | Google Cloud Platform | IDS/IPS | ISO/IEC | ISO/IEC 42001 | Incident Response | Information Protection | LLM guardrails | Language Models | Large Language Models | Least Privilege | Lifecycle Security | Machine Learning | Management Framework | Microsoft 365 | Microsoft Azure | NIST AI | NIST AI Risk | NIST AI Risk Management | NIST AI Risk Management Framework | Prompt engineering | Risk Assessment | Risk Management Framework | Secure Design | Secure Design Patterns | Secure SDLC | Security Architecture | Threat modeling | Web Application | Web Application Firewall | Web Services | Zero Trust
Education
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