What are the big technology trends to watch out for in 2017?  Cybersecurity will undoubtedly be the dominant theme of 2017, as all tech innovations could be undermined by data thefts, fraud and cyber propaganda.

As accusations of Russian interference in the 2016 US presidential election continue to reverberate around the world, hackers, whether private or state-sponsored – would seem to be getting the upper hand.

Prof Richard Benham, chairman of the National Cyber Management Centre, gives a dire warning: “A major bank will fail as a result of a cyber-attack in 2017 leading to a loss of confidence and a run on that bank.”

In November last year, hackers stole £2.5m from 9,000 Tesco Bank customers in a raid the UK’s Financial Conduct Authority described as “unprecedented”. Last year Tesco Bank seemed to be offering free cash withdrawals to hackers, too. And the more connected the world becomes, think connected cars, smart homes, sensor-laden cities, the more opportunities for hackers to break into the system and wreak havoc.

“The internet of things (IoT) and industrial internet of things (IIoT) will play a larger role in targeted attacks in 2017,” says Raimund Genes, chief technology officer at cybersecurity company Trend Micro.  “These attacks will capitalise upon the growing acceptance of connected devices by exploiting vulnerabilities and unsecured systems to disrupt business processes, as we saw with Mirai.”

The firm also predicts that throughout 2017 criminals will continue renting out their ransomware infrastructures, the tools that enable hackers to break in to your system, encrypt all your data, then demand a ransom to decrypt it. Hackers can achieve the same result by knocking out your website or factory control systems in a DDoS [distributed denial of service] attack – flooding your computer servers with so many requests that they cease functioning. And hackers are not just interested in stealing data and making money from it, warns Jason Hart, chief technology officer in charge of data protection at Gemalto, a digital security company.

They’re altering it, with potentially dire consequences. “It’s scary, but data integrity attacks have the power to bring down an entire company and beyond; entire stock markets could be poisoned and collapsed by faulty data. “The power grid and other IoT systems, from traffic lights to the water supply, could be severely disrupted if the data they run on were to be altered,” he says.

As well as poorly secured devices, gullible humans will continue to be targeted, with so-called “business email compromise” fraud continuing to reap rich rewards for criminals, experts predict. Simply tricking employees in to transferring funds to criminals’ bank accounts is lo-tech but surprisingly effective, with Trend Micro reporting that the average payout in the US was $140,000 (£114,000) last year.

“Cybercriminals are targeting human vulnerabilities,” says Prof Benham. “Millions is being spent on technology, but nothing on awareness training.”

Artificial Intelligence AI was the buzzword of 2016 and looks set to dominate 2017 as well, for better or worse.

Enabling machines to learn, adapt to new circumstances and make decisions for themselves, rather than simply obeying pre-programmed instructions or algorithms, seems to present as many disadvantages as advantages.

The pessimists envisage self-programming machines running amok and breaking free of human control, with potentially apocalyptic consequences.

But optimists believe that applying a more restrictive, less autonomous form of machine learning to the wealth of data we are now generating and storing in the cloud could help identify correlations and patterns that were impossible for humans to see before.

And as more devices and sensors become connected, we will learn even more about the world around us. This ability to make sense of all this data could help us cure disease, tackle climate change, grow food more efficiently and generally run our lives in a much smarter, more sustainable way, proponents believe.  Lots was made of customer service chatbots last year, sometimes described erroneously as AI in action, but most of these were actually pretty dumb, merely guessing the most likely answer to fit the question.

Real AI, underpinned by natural language processing, neural networks and machine learning, will understand how humans think, talk, and categorise concepts, making it smarter and easier to interact with.  And the more people who use it, the more data it will have to learn from and the better it will become. So we are likely to see a proliferation of smarter virtual assistants, such as Amazon’s Alexa, Google’s Assistant, Microsoft’s Cortana, Apple’s Siri, and newcomers like Viv.

Businesses will use their own versions of these AI assistants to make sense of all the data they now have to cope with.

“With AI we have the opportunity to build decision-support systems that see, hear, understand and collaborate with us to help make decisions faster, more relevant and better informed,” says Gayle Sheppard, general manager of Saffron Technology, an Intel-owned cognitive computing firm.

Of course, these always-on listening devices connected to the cloud pose another potential security threat, not to mention privacy concerns over what happens to all the data they’re hoovering up.

Cyber-Security Arms Race: And another worry about AI is that hackers will have access to it as well – it’s a cybersecurity arms race. “AI will power malware, and will use data from the target to send phishing emails that replicate human mannerisms and content,” warns Andy Powell, head of cybersecurity at Capgemini UK, an IT consultancy. “Seeming more lifelike, these AI powered attacks will resonate with the target better than ever before, meaning they’ll be more likely to fall victim.”

There’s simply no escaping the cybersecurity issue in 2017.

Source: Cyber Security Intelligence