Industry Resources

New Approach to GDPR: Using Machine Learning to Enhance Privacy

Tuesday 15 May 2018 | 13:00 CET | Advertorial | provided by CUJO AI
The General Data Protection Regulation (GDPR) will come into effect on the 25th of May. Although this particular law applies to the European Union, it does not only concern businesses registered there: every entity that has EU clients will have to comply with it.

GDPR has no precedent. However, it could become the worldwide gold standard of privacy laws. In such a case, these recommendations may soon extend to those operating without any EU customers, especially in the current context of data breaches and insufficient privacy features.

Security & Privacy Concerns

More people are concerned about privacy than ever before. With the rise of the Internet of Things, it is estimated that 8.4 billion devices are currently connected online, with 49% of the world’s population using the internet. That number is only going to increase.

While that has positive implications, such high levels of connectivity also has a negative side to it. In the light of the ongoing Facebook data privacy scandal, the Equifax breach, and the Uber data breach, people are becoming more aware and concerned about their privacy and security online.

64% of Americans have experienced a data breach personally, and nearly half (49%) feel that their private information is less secure than five years ago. That number grows to 58% in the population aged 50 and above. In this kind of environment, laws similar to GDPR could gain rapid popularity in the US, too.

Key Restrictions Presented by GDPR

The General Data Protection Regulation brings quite a few changes. A major difference is that a business will risk paying fines of up to 4% of annual global turnover, or €20 million.

Businesses will be required to notify their users of a breach within 72 hours, provide access to their data and information on where and why it is processed. Options for erasing user data will have to be provided, amongst other modifications.

Privacy by Design is also introduced, which means that only the data absolutely necessary to carry out duties can be held and processed. It also requires that those needing to process that data have as little access to it as possible.

Machine Learning: Seeing More with Less

As the market for enhanced security and privacy grows, General Data Protection Regulation only adds fuel to this fire. Due to its far stricter regulations, ensuring privacy should become the main concern for any business that has clients from European Union.

Machine learning-driven solutions can provide effective services without exposing PII (personally identifiable information that can lead to learning a person’s identity, such as the name and the surname, or the IP address in combination with the physical address).

Machine Learning models can effectively analyze huge data sets in real time to detect specific patterns, anomalies, and trends. There is no need to analyze every single packet and look into the data portion of the packet (where all the sensitive information and, potentially, PII is being stored).

In addition to that, minimal human interaction is required to supervise it. It works well with GDPR’s requirement to avoid the overabundance of officials dealing with sensitive data. That’s because Machine Learning uses algorithms to analyze patterns in data, therefore minimizing the need for human supervision and PII exposure.

According to GDPR, the person has the “right of explanation.” It’s a right to know what kind of data is used by a business about a person, and why. The anonymization of data along with the necessary explanation of what purpose this collection has can ensure compliance.

Of course, businesses should ensure that no unnecessary data is kept and utilized.  However, the main issue with excessive data keeping is unfair and biased profiling, as well as using it to take advantage of clients. Ultimately, a beneficial service that uses data ethically should have few issues, if any.
Machine learning should be looked at as one of the most viable solutions to the current issues of security, privacy, and end-user protection that we are facing today. In general, people are becoming more aware of the risks that being online may present. 


CUJO AI is the leading artificial intelligence company providing network operators AI-driven solutions, including AI security, advanced device identification, advanced parental controls, and network analytics. CUJO AI Platform creates intuitive end-user facing applications for LAN and wireless (mobile and public wifi), powered by machine learning and real-time data. 

Learn more at cujo.com

Sponsor Details

Name    CUJO AI
Contact    https://www.getcujo.com/

Categories: General
Companies: CUJO
Countries: World
::: add a comment
This article is part of dossier


Add comment

Please login or register to leave a comment.

We welcome comments that add value to the discussion. We attempt to block comments that use offensive language or appear to be spam, and our editors frequently review the comments to ensure they are appropriate. If you see a comment that you believe is inappropriate to the discussion, you can bring it to our attention by using the report abuse links. As the comments are written and submitted by visitors of the Telecompaper website, they in no way represent the opinion of Telecompaper.


The next generation of connected experience - Precision, protection and personalization

Published 21 Sep 2018 15:00 CET | World
The smart home concept started out as a dream, but it turned into a mess. IoT enthusiasts were so excited that they can connect ...

5 Key Security Tips to Avoid an IoT Hack

Published 10 Aug 2018 14:24 CET | World
Recently, Russian PIR Bank lost USD 1.000.000 because of a compromised router that allowed hackers to gain entry into their local ...

Machine Learning vs Chronic Security & Privacy Issues

Published 27 Jul 2018 14:58 CET | World
The Internet has many issues. Privacy. Lack of encryption and its governance. Questionable marketing techniques. A misinformed ...

CUJO AI named to WEF annual list of Technology Pioneers

Published 28 Jun 2018 14:04 CET | World
The World Economic Forum has unveiled its annual list of Technology Pioneers. The 61 early-stage companies are recognized for ...

CUJO AI, M-Tiba, Juvo e.a. door WEF geselecteerd als Technology Pioneers

Published 28 Jun 2018 11:24 CET | World
Tot de gekozen bedrijven behoren onder meer CUJO AI, dat machine learning inzet voor de analyse van data endpoints, en M-Tiba, ...

M-Tiba, Juvo among WEF annual list of Technology Pioneers

Published 28 Jun 2018 10:15 CET | World
The World Economic Forum has unveiled its annual list of Technology Pioneers. The 61 early-stage companies are recognized for ...

Q&A Session: New Trends Advance User Privacy

Published 11 Jun 2018 13:00 CET | World
Privacy and security online are one of the top concerns of Americans, especially after numerous massive data breaches (Equifax, ...

Germany's Continental bans employees from using WhatsApp, Snapchat over GDPR concerns

Published 05 Jun 2018 16:35 CET | Germany
German automotive supplier Continental has banned its employees effective immediately from using social media apps like WhatsApp ...

German court dismisses ICANN injunction on WHOIS data

Published 01 Jun 2018 19:44 CET | Germany
The Regional Court of Bonn has decided not to issue an injunction in proceedings initiated by the Internet Corporation for ...

Bitkom releases recommendations for Terms & Conditions to prepare for GDPR

Published 24 May 2018 16:54 CET | Germany
German digital association Bitkom has made available a set of recommendations for companies' General Terms and Conditions (AGB) ...

Mobile First: Security Concerns and Solutions

Published 08 May 2018 13:00 CET | World
The majority of people - 83%, in fact - use their mobile devices to go online. 89% of these users connect to the internet via a ...

New DNS Encryption Tools Accelerate Privacy Online

Published 25 Apr 2018 17:00 CET | World
Brand new Domain Naming Service (DNS) Cloudflare is gaining firm ground among internet users. Unlike many other DNS providers, ...

DNS blacklisting is dead. What's next?

Published 23 Mar 2018 12:20 CET | World
Broadband customers are bringing millions of new smart devices into their homes. The number of connected devices might reach 30 ...

Why Do We Need Advanced Parental Controls?

Published 22 Feb 2018 07:30 CET | World
In 2016, Pew Research Center revealed that 60% of parents had checked their teen's social media. 61% of parents agree that ...

CUJO AI Platform for Network Operators

Published 01 Feb 2018 15:20 CET | World
Company helps Network Operators support their customer's privacy by placing IoT devices beyond the reach of hackers. After ...