Data Security SME
vbeyondScottsdale (AZ)
About the role
Data Security SME with encryption and key management and cloud (GCP) and (AI) Data Security Architecture
Location: Pheonix AZ
Duration:
Contract Focus Security assessment of GCP based conversational AI telephony API and backend integration architecture.
Responsibilities:
Assess the end-to-end architecture from a data security and privacy standpoint.
Review security controls for GCP Shared VPC interconnects service accounts IAM and network segmentation.
Implement Sentinel policies for enforcing encryption standards and data access standards Implement database activity monitoring and blocking rules in GCP.Assess AI specific risks including prompt context leakage model input output handling and knowledge store access.
Produce findings report with risk ratings gaps and remediation recommendations.
Review data flows across GCP service projects.
Virtual agents conversational AI Telephony platforms API proxies.
Datastore BigQuery Cloud Storage On Prem systems of record Identify risks related and implement controls related to Blocking.
Customer data exposure PII handling.
Encryption in transit and at rest.
Secrets and key management Users and NHI authentication.
Database activity Logging monitoring and auditability.
Data retention and deletion
Required Skills:
- Strong experience in cloud security architecture preferably Google Cloud Platform.
- Hands on knowledge of GCP IAM VPC Shared VPC Cloud Run GKE Big Query Cloud Storage Datastore Fire store Cloud KMS Secret Manager
- Experience assessing data protection controls for PII PCI or regulated customer data.
- Knowledge of API security including OAuth mTLS token handling gateways and service to service authentication.
- Familiarity with network security private connectivity firewalls segmentation and hybrid cloud interconnects.
- Understanding of logging SIEM integration audit trails and security monitoring.
- Experience with threat modeling and architecture risk reviews.
Preferred Skills:
Experience with conversational AI virtual agent platforms.
Knowledge of telephony SIP integrations and contact center platforms.
Experience with PCI DSS NIST ISO 27001 SOC 2 or financial services security standards.
Familiarity with AI data governance model safety and GenAI security risks.
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