Digital identity protection platform for high-net-worth executives and families
360 Privacy protects digital identity for executives and high-net-worth individuals through continuous data correlation, analysis, and removal. The tech stack—Python, AWS/GCP/Azure, Prefect/Airflow/Dagster, FastAPI, PostgreSQL—reflects a data-pipeline-first architecture built for automated threat suppression at scale. Engineering dominates hiring (8 of 12 active roles, mostly staff/principal level), paired with projects around automation engines, scraper workflows, and agentic systems, signaling a shift from manual identity audits toward autonomous monitoring and remediation.
360 Privacy operates in the intersection of cyber, fraud prevention, and reputation protection for a narrow, high-value market: executives, athletes, celebrities, and family offices. The product correlates and removes personal data across the internet daily, keeping digital identities out of reach of threat actors and fraudsters. Founded in 2019, the company is based in Nashville, TN with 51–200 employees. Active projects span automation infrastructure (engines, scrapers, agentic workflows), API services, and secure data infrastructure. Core pain points cluster around scaling backend systems, maintaining stability under load, and reducing sales cycle friction—typical friction for a product moving from manual consultant-led work toward platform automation.
Python, FastAPI, Flask, Django on backend; React, TypeScript, Next.js on frontend. Data infrastructure: PostgreSQL, AWS (ECS, RDS, Lambda), GCP, Azure. Data orchestration: Prefect, Apache Airflow, Dagster. Identity/auth: Auth0, Okta, FusionAuth, JWT.
Automation engine, scraper-based workflows, agentic workflows, API services, integration architecture, and secure data infrastructure. Also evolving deal desk processes and enforcement governance.
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