Dotdigital builds a Customer Experience and Data Platform (CXDP) that unifies customer data across channels - email, SMS, WhatsApp, web, push, ads - and layers in AI-powered personalization and analytics on top. The platform serves more than 4,000 brands across 150+ countries, handling the kind of scaled PII-heavy data flows that make attack surfaces interesting. They hold ISO 27001 certification, and the engineering stack supports integrations with Salesforce, Microsoft Dynamics, Shopify, and Adobe Commerce - each one an integration surface that needs defending.
With 450+ employees operating globally, Dotdigital's security challenge is a familiar one in the martech space: the platform ingests, unifies, and activates customer data at scale. That means safeguarding data unification pipelines, securing real-time personalization engines, and hardening cross-channel delivery infrastructure. The threat model spans credential stuffing on marketing automation endpoints, injection risks in campaign personalization logic, supply-chain exposure through third-party platform integrations, and the regulatory surface area of operating across 150+ jurisdictions with GDPR, CCPA, and their regional analogs.
Technical domains here include data unification, marketing automation, advanced analytics, and AI-powered personalization - all areas where security engineering intersects with data engineering and ML ops. The company maintains carbon-neutral operations and is recognized as a G2 Leader across eight categories. If you're looking at this from a defensive standpoint, the draw is the scale and complexity of the data platform itself: securing a system that touches millions of end-user profiles across dozens of channels and multiple enterprise integration partners.
