DataGuard provides visibility required for strategic decision-making out of the box. We believe a holistic product is better than fragmented tools for classification, detection, and audit. Such fragmentation results in the hard work of data breach detection being left to security teams – straining personnel and risking oversights. Detection and response is a start — our team of scientists and engineers is productizing research in automated protection.
Privacy via anonymity techniques — using differential privacy for example — is very attractive for aggregate analysis. But there is a lot of science to be done to manage privacy-budgets and resistance to adversarial ML attacks. Privacy engineering will need to rest on a foundation of pervasive data firewalls that align policy with implementation across data stores. So we start with data firewalls.
WE LOVE PRIVACY, SECURITY, AND BUILDING INFRASTRUCTURE.
We believe that data privacy enables individuals to have agency over their future; and that data security has to be built-into infrastructure so that it can be protected and audited for contextual integrity.
We started with research into making security teams aware of users’ and developers’ contexts — e.g., software with HIPAA or GDPR compliance built-in to help healthcare move beyond clinics. DataGuard is the first, simplest step towards getting there. We are extremely lucky to bring our research to market with security and business leaders from Netflix, JASK, Figma, Mastercard, and Auth0 as close advisors.