AI Security Analyst - Data Protection & SaaS Controls
Core
Securing enterprise AI platforms and SaaS applications by implementing data protection controls, enforcing security guardrails, and preventing data leakage.
Role type
AI Security Analyst (Data Protection & SaaS Controls)
Builds
Data protection controls, DLP policies, and security guardrails for AI tools and SaaS integrations.
Domain
Cybersecurity, AI/LLM security, SaaS security, Cloud security
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
DLP implementation, SaaS security, Cloud security, Data classification, Data flow analysis, AI/LLM risk understanding, SIEM/CASB/DLP/API security tools, Incident response
Preferred skills
AI-specific security controls (prompt filtering, output inspection), AI security frameworks (NIST AI RMF, OWASP LLM Top 10), Engineering workflow integration, Scripting/Automation (Python, APIs)
Responsibilities
Implement and operate data protection controls for AI platforms and SaaS; Design and enforce DLP policies across AI prompts, outputs, file uploads, and APIs; Identify and mitigate AI-specific risks including prompt injection, data exfiltration, and shadow AI usage; Build and operationalize guardrails such as data masking, prompt filtering, and response inspection; Analyze and map data flows across AI tools to identify control points; Secure integrations between AI tools and enterprise systems; Monitor AI usage and integrate signals into SIEM, DLP, and CASB platforms; Investigate and respond to AI-related security incidents and data leakage events; Partner with engineering to embed security controls into AI pipelines; Support AI governance by enforcing policies.
Seniority
Mid-level (3–6+ years experience)
