Government CIOs have a full agenda for 2018, including top investments in cloud services (19%), cybersecurity (17%) and big data analytics (16%), according to Gartner’s 2018 CIO Agenda Survey. The predictions are based on interviews with 3,160 CIOs from 98 countries, including 461 who work in government institutions.
2018 is the year that IoT, as well as artificial intelligence and robotics, will drive digital innovation and completely transform business models, found a Forbes Insights survey of over 500 senior executives from different countries.
In 2017, global spending on cybersecurity totaled about $86.4 billion, while in 2018 businesses will reportedly spend $93 billion, according to estimations from Gartner.
Each December, security researchers make predictions for the following year, and they always seems to sound the same: attacks will increase, malware will be more sophisticated because hackers are upping their game, so IT executives must secure their infrastructure or else. So what can enterprises expect from the threat landscape in 2018?
We’re on the verge of a complete transformation of healthcare, as traditional telecare is about to be dethroned by connected care, according to a research report from Berg Insight. As telecare applications and devices collect and store large amounts of data concerning patients’ health, physical location and daily movement, companies in this segment will have to deal with the challenges of the General Data Protection Regulation (GDPR).
There’s been a continuous increase in the use of Machine Learning but, despite the recent hype, the technology is not new. While researchers have been playing with artificial neural networks from as early as the 1950s, machine learning is not new even in the context of cybersecurity.
Demand for cybersecurity experts will increase and become a priority for enterprises, leading to an estimated need for over 1 million cybersecurity professionals in India by 2020 and over 500,000 in the US. The US currently employs 780,000 specialists in cybersecurity, while 350,000 posts are still unfilled, reports CyberSeek, project supported by the U.S. Department of Commerce.
The terms “artificial intelligence” and “machine learning” are often used interchangeably, but there’s a huge technical difference between them. While the first is used by Hollywood when depicting self-aware machines, the latter is comprised of finely tuned single-task algorithms that are nowhere near self-aware.
Following years of active research and progress, artificial intelligence and machine learning have gained traction, becoming integrated in all cybersecurity layers to boost the efficiency of unknown malware detection, spam detection, URL filtering and network anomalies. Still, the industry has only reached the tip of the iceberg, with many opportunities still to be explored in the future.
GDPR, a new legal framework, was approved in the European Union in April 2016, after a seven-year journey from idea to implementation. The regulation addresses consumer rights and data privacy in relation to business conducted in EU member states.
The education sector is one of the most targeted by cybercriminals, partly because it often overlooks compliance with government regulations on security and data protection. Unlike other industries, education is not as well-trained on security guidelines, has little device protection in place, and unwittingly encourages a bring-your-own-device environment.
Some $86.4 billion has been spent globally on information security so far in 2017 alone, a 7 percent increase from 2016, according to Gartner. The forecast for 2018 is that the spending will reach $93 billion, making the Chief Information Security Officer a fundamental role in any organization.
