DataGuard, founded in 2018, builds Information Security and Compliance Management Systems that pair AI-powered automation with human expertise. The core problem it targets: organizations buried under manual compliance workflows and slow certification timelines. Its all-in-one platform adapts to a company's specific risk posture, claiming a 40% reduction in manual effort and a 75% faster path to certification - numbers that matter when audit windows are closing and the threat surface keeps expanding.
The technical stack centers on automation that maps to actual compliance frameworks rather than generic checkbox tooling. With over 1.5 million consultancy hours logged and 4,000+ customers across 50+ countries, the company has processed enough real-world security postures to train systems on what gaps actually look like. The team - 250+ people - operates out of Munich, Berlin, London, Stockholm, and Vienna, splitting work between platform engineering and hands-on security consultancy.
Culturally, DataGuard leans into a security-first operating model. The hybrid approach - automation handling the repeatable, humans handling the judgment calls - isn't framed as a selling point so much as an architectural decision. For anyone building in information security, the draw is working on systems where the compliance logic has to be airtight and the automation layer has to account for real organizational complexity, not just templated policies.
