5 Top Emerging Data Privacy Startups

5 Top Emerging Data Privacy Startups

We analyzed 706 data privacy startups impacting cybersecurity.​ CryptoNumerics, BlackFog, Intellegant, Bitnobi & apheris AI develop 5 top solutions to watch out for. Learn more in our Global Startup Heat Map!

Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on cybersecurity solutions. As there is a large number of startups working on a wide variety of solutions, we want to share our insights with you. This time, we are taking a look at 5 promising data privacy startups.

Heat Map: 5 Top Emerging Data Privacy Startups

Using our StartUs Insights Platform, covering 1.116.000+ startups & emerging companies, we looked at innovation in the field of cybersecurity. For this research, we identified 706 relevant solutions and picked 5 to showcase below. These companies were chosen based on a data-driven startup scouting approach, taking into account factors such as location, founding year, and technology among others. Depending on your specific criteria, the top picks might look entirely different.

The Global Startup Heat Map below highlights 5 startups & emerging companies developing innovative data privacy solutions. Moreover, the Heat Map reveals regions that observe a high startup activity and illustrates the geographic distribution of all 706 companies we analyzed for this specific topic.

Data-Privacy-Startups-Cross-Industry-Heat-Map-StartUs-Insights-noresize

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Which startups develop the other 701 solutions?

 

CryptoNumerics – Protected Vertical DaaS

Data collection is an integral part of any technology and digital transformation enabling companies. Consequently, data privacy has become a key point of contention among those advocating for better mechanisms to handle personal data. Technology companies also stand to benefit from increased privacy compliance by developing trust with consumers through data transparency. This will also allow companies across industries to react faster to different crises, including health crises like the COVID-19 pandemic.

Canadian startup CryptoNumerics provides clients with a protected vertical Data as a Service (DaaS) solution. B2B organizations usually generate data that is beneficial for their customers as well. The startup combines various types of customer data to drive improvements in optimization and data modeling. The protected vertical DaaS helps B2B companies provide collective intelligence to their customers while making sure that no confidential or private information is exposed.

BlackFog – On-Device Data Privacy Protection

Today, billions of homes around the world are constantly using consumer devices, throughout the day. From smart security systems to smartphones and other connected gadgets, the transfer of personal information happens rapidly. This leads governments to introduce data privacy regulations, like the general data protection regulation (GDPR), that ensure consumers provide data with consent, and also that the information is securely stored. This drives startups to provide user-friendly solutions to help consumers better understand privacy terms and processes.

The US-based startup BlackFog offers on-device data privacy and data security protection solutions. The startup employs behavioral analysis and data exfiltration technology to offer protection from data breaches, insider threats, ransomware, spyware, malware, phishing, unauthorized data collection, and profiling. BlackFog blocks threats across mobile and desktop endpoints, protecting organizations’ data and privacy, as well as strengthening regulatory compliance.

Intellegant – Life Sciences & Pharma R&D

Healthcare data privacy regulations have been around for decades. This sector, particularly, demonstrates the benefits of securing private data but providing access to improve processes or detect patterns. As businesses and consumers start taking more control over their data, startups have the opportunity to create safe and sustainable models for sharing and using private information. To this extent, regulations balance the trade-offs from data privacy and improving industry-specific tasks.

Belgian startup Intellegant works at the intersection of technology and regulatory compliance. The startup helps companies in the life science industry develop solutions that embed data privacy, security, and integrity as defaults to avoid or prevent security problems. They assist firms in protecting, diagnosing, and constructing, as well as implementing smart data solutions to accelerate their transition to digital platforms.

Bitnobi – Privacy-Protected Data Sharing Platform

Several countries protect citizens’ data from abuse, and their number is increasing around the world. These include the right to be forgotten, the right of access to personal data, the right to be informed, and consent. As people become sensitive towards freely sharing data, emerging technology solutions like data anonymization or differential privacy play a key role in bridging the gap between privacy and data sharing. Solutions today allow end-users to understand privacy policies and make informed decisions.

Canadian startup Bitnobi develops a privacy-protected, data-sharing platform that keeps raw data at the source and only sends aggregate data to end-users. The platform plays the role of a data mediator, placing the onus for launching data jobs on the end-user by ensuring that they meet the data provider’s rules of engagement. This solution caters to various government, healthcare, and financial institutions.

apheris AI – Distributed & Decentralized Data

Data and server centers are currently quite expensive to set up and maintain. Establishing servers across different locations, in a distributed manner, improves data security and, in turn, data privacy as well. Like blockchain, such distributed data allows people and end-users of data to securely track and control private information. For businesses, this also includes confidential data from various Internet of Things (IoT) devices and other machine data.

German startup apheris AI utilizes a range of data decentralization technologies to share data while preserving privacy. These technologies include secure multiparty computation, differential privacy, and privacy-preserving record linkages, as well as federated machine learning and homomorphic encryption. The platform also gathers insights across distributed and additional external datasets. Further, the data network allows private and personal data to stay decentralized in its current location, ensuring data privacy.

What About The Other 701 Solutions?

While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence so you can achieve your goals faster. The 5 data privacy startups showcased above are promising examples out of 706 we analyzed for this article. To identify the most relevant solutions based on your specific criteria, get in touch.

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