Executive Viewpoint 2017 Predictions: Thales e-Security – Facing the Data Security Challenges of Tomorrow
Most people will agree that 2016 has been quite the year for cybersecurity. For starters, we saw not just one, but two major data breaches at Yahoo, in what are likely two of the largest cybersecurity breaches in history. Ransomware was on the rise in 2016 as well and seems to be well on the way to record numbers of attacks. Hackers were even named as runners up in TIME’s Person of the Year 2016 shortlist, for goodness’ sake! Finally, and perhaps most importantly, for the first time in U.S. history, cybersecurity played a significant role in global politics.
So while 2016 may have seen more than its fair share of cybersecurity fails, will 2017 fare better or worse? With this year’s data breach rollercoaster coming to an end, below are a few predictions I laid out as we face the data security challenges of the year to come:
1. Half of Enterprises will be Using Containers
Despite the fact that the first commercially viable container environment (Docker) only hit the scene in March 2013, containers have moved into production much faster than anyone ever expected. Fueled by the emergence of data security technologies for container environments, at least half of enterprises will be using containers in 2017. I also anticipate that nearly all enterprises will be using containers by 2020.
2. Weaponized IoT will Cause a Major Data Breach
2016 has proven that taking control of hundreds-of-thousands of devices can be used for massive DDoS attacks. In 2017, it will be confirmed that the on-ramp to a massive data breach that appeared to be from an insider was actually from a hacker group gaining access, behind the perimeter protection, through what was thought to be “a simplistic IoT device.”
3. Connected Car Security will Begin to be Standardized
As connected automobiles continue to evolve, we will see more vulnerabilities being exploited by hackers. This will lead to automobile manufacturers to establish a standard for how these cars and physical infrastructure (that stop light your car is cruising towards…) are secured and how the car systems and user data are protected.
4. Banking Industry will Expand use of AI and Machine Learning
With advancement in technologies such as deep learning, neural networks and natural-language processing, the banking industry will use these techniques to learn consumer usage patterns, predict anomalies and identify fraudulent activities.
5. 2017: The Year of the Blockchain
There will be continued innovation in blockchain-based real world applications that go beyond the financial vertical, leading to a new crop of startups. We will also see increased attention from regulatory bodies over issues around cybercrime and governance.
6. GDPR Ramp-Up
The General Data Protect Regulation (GDPR) is set to go into effect in May 2018 and with it come many organizational, legal and technical changes in how EU citizens’ information is stored, process and protected. Many global organizations that operate in the EU (not just based there), must be compliant or risk significant sanctions – €20 million or 4% of global turnover, whichever is greater. While the pain of being non-compliant is evident, the real challenge a lot of organizations will wrestle with is “how” to be compliant.