Our site uses cookies to make it work and to help us give you the best possible user experience. By using our site, you agree to our use of cookies. To find out more about cookies and how you can disable them, please read our cookies statement. 

Cookie Settings

You can manage your cookie settings by turning cookies on and off.

Click on the different cookie  headings to find out more about the types of cookies we use on this site and to change your settings. Please be aware that if you choose to turn off  cookies, certain areas of our site may not work and your browsing experience may be impacted.

For further information on how we use cookies, please see our cookies statement. 

Strictly Necessary Cookies

(Req)

These cookies are essential for the technical operation of and proper functioning of our site  and enable you to register and login, to easily move around our site, and to access secure areas. Without these cookies our site won't function properly.  

These cookies are required

Performance Cookies

Performance cookies allow us to collect aggregated and anonymous data on how our site is used, such as the number of visitors to our site, how you navigate around and the time spent on our site and also to identify any errors in functionality. These cookies also help us to improve the way our site works by ensuring that you can find what you’re looking for easily, to better understand what you are interested in and to measure the effectiveness of the content of our site. 

Marketing Cookies

These cookies allow us to advertise our products to you and allow us to pass this information on to our trusted third parties so that they can advertise our products to you on our behalf. All information these cookies collect is aggregated and therefore anonymous. No personal information is shared to third parties. Any personal information collected while using our website could be used for direct marketing from Dimension Data only.

The rise of robo-hunters

Blog

How artificial intelligence will reshape the cybersecurity landscape

Internet TV series like Westworld and Black Mirror are enthralling but also disturbing because the scenarios are real possibilities, based on emerging capabilities of Artificial Intelligence (AI). Can AI really get smarter than us, feel emotions like us, take control of environments, and even change what it means to be human?

While we’re a long way from autonomous cyborg creatures, AI is with us today, reshaping the way we live, play, and work – think of Facebook tagging faces, Spotify generating your playlist, Siri answering questions. These are all ubiquitous AI applications.

AI technologies make up a ‘central nervous system’ of capabilities, and their evolutionary path is like our own cognitive development – we progress from sensing, perceiving, and learning, to assimilated knowledge, foresight, and wisdom. While the future of AI brings science fiction into reality, it is continuously maturing in the present.

AI isn’t the future of business, it’s the here and the now.

Learning through recognition

The first stage of AI evolution, perception, refers to the idea that we can only learn from what we recognise. Advances in computer vision and learning have enabled granular recognition, pattern matching and classification of text, voice, 3D imagery, video and VR content, allowing the vast world of big data to be understood.

An example of this is Google Translate – a text-based language translation engine, at first it was inaccurate because it translated word by word, without context of the language. It progressed to analysing whole sentences for meaning, which became the Google Neural Machine Translation (GNMT). GNMT now translates over 100 languages and is maturing its range to translate photo and video images, handwriting, and speech. It’s core AI, now embedded in web browsers, websites, and Google Home, and also used by software developers to create multilingual applications.

In Japan, NTT R&D are developing similar forms of AI to enhance the visitor experience for the 2020 Olympics. 3D visual recognition technology can identify an object from any position, by inferring its 360 degree appearance, and additional technology translates images, such as metro train maps, into multiple languages.

Artificial general intelligence

Artificial general intelligence builds on the core AI perception skills to enable deeper machine learning and at scale, whereby machines connect to share data, make decisions, and act. Based on algorithms, this enables the operation of autonomous or semi-autonomous systems. An extension of this is reinforcement learning, where cumulative analysis of outcomes improves the range and performance of algorithms. We’re bringing this form of AI into our lives via Google Home and Amazon Alexa, allowing them to listen, converse, and become task workers for us.

It also impacts the sports world. At this year’s Tour de France, our IoT, big data and machine learning platform ran algorithms across live and historical race data, to provide extensive performance insights across the event, predicting likely outcomes of riders in real time, which improved the viewers’ experience and engagement.

Artificial super intelligence

Machines have perfect recall, analyse vast amounts of information, and exercise consistent objective reasoning, so they’ve gained an IQ edge over the most gifted humans in some discrete type of logical reasoning (Fritz and chess, Watson and Jeopardy, Deepmind, and AlphaGo). But overall, AI doesn’t yet surpass the blended IQ and EQ (scientific, general wisdom, creativity, and social skills) of a fully developed human. EQ is the next frontier of AI research.

Our relationship with machines is becoming more nuanced and personalised by the day.

Unfathomable computational capacity will be available – in our pockets

Within 10–15 years, we’ll carry supercomputer devices in our pockets. Computing methods such as quantum and neuromorphic will explore questions in time, space, and infinity that aren’t even conceivable today. This will be truly exponential for AI, imagine these approaches applied to resolving climate change impacts or Alzheimer’s disease.

What will AI deliver in the near-term?

A compelling near-term case for AI deployment is for cybersecurity. Until recently, we’ve relied on human security analysts to monitor systems, analyse threats, and act. But there aren’t enough cyber experts in the world to keep up with the changing global threat landscape and rise of cybercrime.

The AI-enabled cybersecurity landscape is actively aware and alert to changes, recognising new patterns as they emerge, modelling likely scenarios, intervening, analysing outcomes, and generating new counter-response capabilities.

This year you may see the rise of ‘robo-hunters’; AI-enabled bots who scan changes in an organisation’s environment that could indicate potential threats. They’ll learn from their discoveries and take appropriate action, such as isolating a compromised device. This will enable more businesses to move from a proactive to a predictive security posture.

This period of AI evolution is pivotal in our relationships with machines, our physical and digital worlds are enmeshed – the interfaces are becoming our clothing, glasses, implants, voices, gestures, and even feelings. We’ve embraced this in daily life and soon our reliance on AI will become the norm at work as well.

More than ever, this is predicated on deep trust and such trust needs to be continuously affirmed and legitimised by the relentless application of AI to cybersecurity. This way, the future is under our control, AI in service of ‘humanity’.

Suddenly, Hollywood’s futuristic dream doesn’t seem so far from reality.

For more detail on how your business can leverage the opportunities of digital disruption, download the executive summary and the white paper by clicking below.

Download the executive summary

Download the white paper

You may be interested in

Next Article: What running @letourdata taught us in 2018

You may also be interested in

Top cybersecurity trends in 2018

How has the threat of cybercrime evolved? We explore this, and look at how technology can help you strengthen your company’s defences in 2018.

Watch the webinar
Digital business in 2018: A year of change ahead

Digital technologies like blockchain and artificial intelligence will set the agenda for the digital business landscape in 2018.

Read more
Five machine - learning lessons from the Tour de France

How we used advanced data analytics to predict results at the Tour de France

Read the blog
Challenges and opportunities presented by the digital social world

Listen to the webinar to learn how your business can leverage the opportunities of digital disruption.

Watch the webinar