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AI Security Analyst - Data Protection & SaaS ControlsPURE Insurance • New York, New York, United States
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AI Security Analyst - Data Protection & SaaS Controls

PURE Insurance
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

About the Role We are seeking an AI Security Analyst responsible for securing enterprise AI platforms and SaaS applications, with a strong focus on preventing data leakage and enforcing security guardrails. The role owns the implementation, operation, and effectiveness of controls governing how AI tools interact with sensitive data across the organization. The ideal candidate brings hands‑on experience in DLP, SaaS security, and cloud environments, and can translate AI‑related risks into practical, enforceable security controls. What You’ll Do Own and implement data protection controls for AI platforms and SaaS applications 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 and enforce protections Secure integrations between AI tools and enterprise systems (APIs, plugins, third‑party apps) 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 and workflows Support AI governance by enforcing policies and enabling secure AI adoption What We’re Looking For 3–6+ years of experience in cybersecurity (DLP, SaaS, or cloud security) Hands‑on experience implementing DLP controls across endpoints, SaaS, or network layers Experience securing SaaS platforms and managing identity/access risks (SSO, OAuth, APIs) Strong understanding of data classification and data flow analysis Familiarity with AI/LLM tools and associated security risks Experience with security tools such as SIEM, CASB, DLP, or API security platforms Security certification (or willingness to obtain within 6 months) Preferred Qualifications Experience building AI‑specific security controls (prompt filtering, output inspection) Familiarity with AI security frameworks (NIST AI RMF, OWASP LLM Top 10) Experience integrating security controls into engineering workflows Scripting or automation skills (Python, APIs) What Success Looks Like Strong control coverage across enterprise AI tools Measurable reduction in data leakage incidents via AI platforms Effective monitoring and response to AI‑related threats Scalable and repeatable AI security guardrails implemented Operational Expectations Participate in a structured on‑call rotation Provide after‑hours and weekend support for security incidents Respond to AI‑related alerts and data leakage events Collaborate with cross‑functional teams during incident response Compensation The base salary for this role can range from $45,000 to $100,000 based on a full‑time work schedule. All new hires must work onsite at one of our offices during their first week of employment.
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  • New York, New York, United States

Compétences linguistiques

  • English
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