Data protection: top of the best Data Protection startups

Data protection: top of the best Data Protection startups

The protection of personal data is taking an increasingly important place in companies of all industries. As the volume of customer data available to them increases, ensuring the security and confidentiality of this information becomes essential. With the imminent entry into force of the GDPR, this is very soon an obligation. In this context, discover our selection of the best Data Protection startups.

On May 25, 2018, the GDPR (General Data Protection Regulation) will enter into force throughout the European Union. This new law on the protection of personal data obliges companies to take measures to better ensure the security of their customers’ data.

Unfortunately, complying with these regulations can be very complicated. In this context, we offer a selection of the best startups offering solutions to adapt to the GDPR , and more generally data protection systems.

BigID, Data-Driven data protection

Founded in 2016 in New York, BigID develops software aimed at helping companies to secure their customers’ data, and to comply with data protection regulations such as the GDPR. Its technology allows companies to monitor and govern their customers’ data thanks to Data Science .

Machine Learning and Identity Intelligence techniques make it possible to find personal data within structured or unstructured petabytes of data, on site or in the Cloud . The platform also makes it possible to highlight the connections between personal data, and to detect any quality anomalies.

By allowing identity data to be indexed by subject, country, application and much more, the BigID solution allows companies to meet GDPR obligations such as the right to be forgotten by users and the duty to react by leakage .

BigID was founded by veterans of the cybersecurity industry. Since its foundation, the startup has raised $ 16.1 million in three rounds .

Code42: SaaS data protection

Code42 was founded in 2001 in Minneapolis. It offers SaaS (software as a service) for security and data protection based on easy-to-use software and high-performance storage hardware . Its Cloud solution allows companies to limit IT security risks, comply with data protection regulations, and restore data in the event of loss.

The firm currently has more than 50,000 customers, including seven of the top ten tech companies , ten of the top twenty most lucrative companies in the world, and seven of the eight U.S. Ivy League universities. Since its foundation, Code42 has raised $ 137.5 million in two rounds from five investors. A more recent fundraising took place in May 2016, but the amount raised was not disclosed.

CipherCloud, the leader in cloud data protection

Based in San Francisco, CipherCloud is a startup founded in 2010. It offers solutions allowing companies to encrypt their most sensitive information before storing it on the Cloud.

Its offer is aimed at companies wishing to adopt Cloud applications in a secure manner, in particular avoiding the risks linked to data confidentiality and data protection regulations. Its open platform offers an intuitive interface, with features such as AES 256-bit encryption, tokenization (substitution of bank data with disposable data) , data loss prevention and malware detection.

Its technology protects information in real time before it is transferred to the Cloud. Since its foundation, the firm has raised $ 80 million in 4 rounds .

Miner Eye: artificial intelligence at the service of data protection
Miner Eye is the pioneer in the field of Interpretive Data Classification. Thanks to artificial intelligence technologies such as computer vision and Machine Learning, it allows companies to track their sensitive data as well as Dark Data . This startup puts artificial intelligence at the service of data governance to allow its customers to automate the identification and tracking of data on large-scale storage platforms.

Its solution makes it possible to govern, analyze, and act on data to comply with privacy laws such as the GDPR. Artificial intelligence here makes it possible to automate internal audits, the protection of intellectual property and data retention. Sensitive data from multiple sources is detected and labeled.

Founded in 2014 in Israel, Miner Eye has since raised a total of $ 4.2 million in one round . Its investors are four in number.

Privitar: protect personal data before analyzing it

Privitar allows businesses to use, share, and extract information from data in a secure manner . Its products make it possible to extract information from sensitive or confidential data while respecting security requirements and thus comply with laws such as the GDPR.

Its solutions are based on engineering techniques such as data anonymization, differential confidentiality and encryption . Privitar enables companies to use information and develop data-driven innovations, while reducing the risks linked to the storage and processing of sensitive data and ensuring protection against possible data leaks.

This London startup was founded in 2014. Since then, it has raised a total of $ 21.2 million in three rounds from 12 different investors .

Cambridge Blockchain, data protection via blockchain
The financial sector is one of the most difficult in institutions to comply with personal data regulations. To remedy this problem, Cambridge Blockchain is developing a distributed architecture to meet the challenges related to confidentiality and transparency imposed by the GDPR.

The startup facilitates secure access to customer reference data. By using this platform based on cryptography and blockchain , banks and other financial institutions can accelerate customer onboarding, reduce costs, and better comply with regulations. Since its founding in 2015 in Massachusetts, Cambridge Blockchain has raised $ 3 million in two rounds from five investors.