Fidelity Life

Fidelity Life has been selling life insurance since 1896 - long enough to amass the kind of sensitive data that makes threat modeling non-trivial. The Chicago-based carrier operates in the middle market, offering term, permanent, final expense, and accidental death policies, many without a medical exam requirement. That accessibility model leans heavily on predictive analytics and insurance technology to underwrite risk at scale, which means the attack surface extends across data pipelines, customer portals, and the proprietary processes the company holds patents on. Security here isn't about defending a startup's MVP; it's protecting a 128-year-old institution where policyholder PII, health data, and financial records intersect. The technical stack runs through predictive analytics and insurtech domains - systems that ingest, model, and act on data that would be high-value on the dark market. The company operates exclusively in the United States, within a regulatory environment that includes state-level insurance commissioners and federal data protection expectations. Fidelity Life positions itself as a pioneer with a history of innovation, including patented products and processes. For a security team, that means protecting not just customer data but also intellectual property that differentiates the business. The threat model likely spans fraud targeting no-exam underwriting, credential stuffing on customer-facing applications, and supply-chain risk across third-party analytics and insurtech vendors.