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FEATUREAI<br />

AI: CLOSING THE CYBER<br />

SECURITY SKILLS GAP<br />

WE ARE FACING A MOUNTING<br />

CYBER SECURITY SKILLS CRISIS.<br />

MATT WALMSLEY, EMEA<br />

DIRECTOR AT VECTRA<br />

EXPLORES HOW TECHNOLOGY<br />

CAN PUT US BACK ON TRACK<br />

The velocity and diversity of cyberattacks<br />

is relentless and continues to<br />

grow. As businesses transform to<br />

become digital-first, the rate of innovation is<br />

surpassing some company's security<br />

capabilities as legacy systems and humanled<br />

practices fail to keep pace. Yet the<br />

challenge remains, and there is a distinct<br />

lack of skilled security professionals<br />

available to fill the gap.<br />

With a steady stream of stories dwelling on<br />

the latest data breach casualty, there is<br />

much unease concerning business security,<br />

with speculation rife across global media.<br />

With a company's reputation at risk when,<br />

rather than if a breach occurs, business<br />

leaders are starting to accept cybersecurity<br />

as a board-level issue.<br />

THE CYBERSECURITY SKILLS<br />

SHORTAGE<br />

Demand for skilled cybersecurity<br />

professionals is growing, therefore it comes<br />

as no surprise that we are facing a<br />

recruitment crisis and a significant lack of<br />

talent. The cybersecurity job market is<br />

huge, yet the amount of top talent<br />

available to fill these roles is relatively<br />

small. In fact, Frost and Sullivan reported<br />

just last year that there are more than<br />

350,000 unfillable cybersecurity jobs<br />

expected in Europe alone in the next four<br />

years. There seems to be no sign of<br />

improvement any time soon.<br />

Faced with multiple unfilled positions, as<br />

well as the challenge of retaining existing<br />

talent, Chief Information Security Officers<br />

(CISOs) need to look at alternative solutions,<br />

and these must include AI and machine<br />

learning if they are to overcome the persistent<br />

shortage of skilled people.<br />

FACING REGULATION HEAD ON<br />

As of May 2018, businesses will incur fines of<br />

20 million euros or up to four per cent of their<br />

global annual turnover, whichever is the<br />

greater, if they do not disclose a data breach<br />

to the Information Commissioners Office<br />

(ICO). The cost of this alone could force some<br />

companies out of business and into<br />

administration. To continue to innovate whilst<br />

remaining secure and effectively protecting<br />

customer data, businesses need to shift their<br />

approach from reactive to proactive if they are<br />

to better protect the value that derives from<br />

their digital data, services and reputation.<br />

Facing fresh challenges as the number and<br />

complexity of threats and attacks increases,<br />

businesses need to look at alternative<br />

approaches if they are to get ahead of the<br />

ever evolving nature of data breaches and<br />

cyber-attacks. Humans alone cannot handle<br />

the sheer volume of this intricate workload.<br />

As cybercriminals become more<br />

sophisticated, automating threat detection<br />

and response using AI, machine learning and<br />

advanced behavioural analytics will allow<br />

businesses to dramatically reduce the dwell<br />

time granted to an attacker once inside the<br />

network. It also ensures a remediated response<br />

before an attack builds itself into a high<br />

severity incident creating long-term damage.<br />

BRIDGING THE GAP WITH AI<br />

Implementing AI and machine learning<br />

technologies will help to make a considerable<br />

contribution to bridging the cyber skills gap.<br />

Too much resource is being spent with<br />

advanced cybersecurity professionals doing<br />

lower-level, mundane monitoring tasks,<br />

meaning that less time is spent on higher<br />

value artisan security tasks. Investing in<br />

security automation is increasingly a must for<br />

forward thinking organisations.<br />

By automating time-consuming attacker<br />

detection and response duties, skilled<br />

analysts can switch their focus on prevention<br />

and remediation, making the threat-hunting<br />

processes all the more efficient and effective.<br />

AI technology is also helping to increase<br />

the number of qualified cybersecurity<br />

professionals and lowering the technical<br />

barriers of entry into the profession,<br />

allowing less trained individuals to be<br />

effective on the front lines of the<br />

cybersecurity battle. As well as this, it allows<br />

existing cybersecurity professionals to move<br />

up-market and leverage AI to find more<br />

complex attack scenarios before they do<br />

harm. The next security engineer you hire<br />

could likely be an AI. NC<br />

14 NETWORKcomputing JANUARY/FEBRUARY 2018 @NCMagAndAwards<br />

WWW.NETWORKCOMPUTING.CO.UK

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