
501 - 1000 employees
🛡️ Insurance
Insurance
PURE Insurance is a private-client insurer that specializes in serving high-net-worth individuals, families, and households. It focuses on property and casualty personal lines—such as homeowners, personal articles (valuables and collections), automobiles, and umbrella liability—while providing tailored risk-management, loss-prevention services, and claims advocacy. PURE operates as a specialized reciprocal exchange/insurance carrier delivering customized coverage and service for affluent clients.
🕒 June 30
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501 - 1000 employees
🛡️ Insurance
Insurance
PURE Insurance is a private-client insurer that specializes in serving high-net-worth individuals, families, and households. It focuses on property and casualty personal lines—such as homeowners, personal articles (valuables and collections), automobiles, and umbrella liability—while providing tailored risk-management, loss-prevention services, and claims advocacy. PURE operates as a specialized reciprocal exchange/insurance carrier delivering customized coverage and service for affluent clients.
• 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
• 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).
• Exceptional service, hospitality and care • Opportunities to stretch and grow • Clarity and kindness • Support in good times and bad • A community that cares.
Apply Now🕒 June 30
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⏰ Full Time
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