Configure and maintain AI security controls for enterprise GenAI and Agentic AI solutions deployed within AWS environments.
Implement AWS Bedrock Guardrails, including content filtering, harmful content protection, sensitive information detection, and model
access controls.
Partner with platform and engineering teams to establish AI guardrails as code and embed AI security controls into CI/CD pipelines.
Deploy and operationalize CrowdStrike AIDR capabilities for AI workloads and agents.
Deploy and operationalize runtime protection, monitoring, and detection capabilities for AI applications, foundation models, and AI
agents.
Develop and execute security testing for LLM and Agentic AI workloads, including prompt injection testing, tool abuse testing, sensitive
data leakage testing, and validation of response controls.
Configure logging, telemetry, and observability capabilities for AI services and support integration of monitoring data into security
operations platforms.
Partner with Cloud Security, Operations, Platform Engineering, Application Development teams to operationalize AI security monitoring
and response capabilities.
Support implementation of model access controls, token protection controls, output filtering mechanisms, and PII redaction
capabilities.
Assess emerging AI security technologies and recommend practical implementations that improve Southwest s AI security posture.
Assist with implementation of security controls for AI agent frameworks, orchestration platforms, retrieval systems, and tool
integrations.
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