Preclusio uses machine learning to comply with GDPR, other privacy regulations
As privacy regulations like GDPR and the California Consumer Privacy Act proliferate, more startups are looking to help companies comply. Enter Preclusio, a member of the Y Combinator Summer 2019 class, which has developed a machine learning-fueled solution to help companies adhere to these privacy regulations.
“We have a platform that is deployed on-prem in our customer’s environment, and helps them identify what data they’re collecting, how they’re using it, where it’s being stored and how it should be protected. We help companies put together this broad view of their data, and then we continuously monitor their data infrastructure to ensure that this data continues to be protected,” company co-founder and CEO Heather Wade told TechCrunch.
She says that the company made a deliberate decision to keep the solution on-prem. “We really believe in giving our clients control over their data. We don’t want to be just another third-party SaaS vendor that you have to ship your data to,” Wade explained.
That said, customers can run it wherever they wish, whether that’s on-prem or in the cloud in Azure or AWS. Regardless of where it’s stored, the idea is to give customers direct control over their own data. “We are really trying to alert our customers to threats or to potential privacy exceptions that are occurring in their environment in real time, and being in their environment is really the best way to facilitate this,” she said.
The product works by getting read-only access to the data, then begins to identify sensitive data in an automated fashion using machine learning. “Our product automatically looks at the schema and samples of the data, and uses machine learning to identify common protected data,” she said. Once that process is completed, a privacy compliance team can review the findings and adjust these classifications as needed.
Wade, who started the company in March, says the idea formed at previous positions where she was responsible for implementing privacy policies and found there weren’t adequate solutions on the market to help. “I had to face the challenges first-hand of dealing with privacy and compliance and seeing how resources were really taken away from our engineering teams and having to allocate these resources to solving these problems internally, especially early on when GDPR was first passed, and there really were not that many tools available in the market,” she said.
Interestingly Wade’s co-founder is her husband, John. She says they deal with the intensity of being married and startup founders by sticking to their areas of expertise. He’s the marketing person and she’s the technical one.
She says they applied to Y Combinator because they wanted to grow quickly, and that timing is important with more privacy laws coming online soon. She has been impressed with the generosity of the community in helping them reach their goals. “It’s almost indescribable how generous and helpful other folks who’ve been through the YC program are to the incoming batches, and they really do have that spirit of paying it forward,” she said.