FEATURE: CYBERSECURITY
Artificial Intelligence and
Machine Learning are
important components in
helping enterprises maintain
organisational resilience and
detect cyberthreats. Asher De
Metz, Lead Senior Consultant
at Sungard AS, discusses the
benefits of using this technology
to become more cyber-aware.
According to the World Economic Forum’s
COVID-19 risks outlook, employers are
most worried about COVID-19 provoking a
prolonged recession, followed by a surge in
bankruptcies. But in third place is the sudden
surge in remote working leading to increased
cyberattacks and data fraud, as the number
of attacks against organisations grew
exponentially to reach a four-month high at
the end of April.
Naturally, business leaders are looking for
solutions, and the adoption of Artificial
Intelligence (AI) and Machine Learning
(ML) is a growing trend. AI and ML can
help organisations automate the fight
against large-scale cybersecurity threats, by
tracking, uncovering and acting on attacks.
Unfortunately, they also make it easier for
bad actors to break into those networks and
steal data.
There are four key considerations for
organisations that are thinking about using
AI/ML to fight cyberattacks.
The more digital, the
more vulnerable
The COVID-19 pandemic
continues to be an immense
humanitarian crisis that is
severely impacting the global
economy. As organisations
have shifted to remote working to protect
employees while continuing to serve
customers, they have moved the majority
of activities to the digital world – increasing
the risk of cyberattacks and threatening
Business Continuity.
The speed of organisational change
has been intensifying in recent years
as enterprises undertake Digital
Transformation projects. At the same
time, cybersecurity threats continue to
become more widespread and potentially
damaging, especially those from some
nation-states with seemingly endless
resources. For example, the World Health
Organisation (WHO) is one of a number of
organisations to have reported a dramatic
increase in the number of cyberattacks
directed at its staff, and email scams
targeting the public at large since the
pandemic began.
Automating the
fight against large-scale
cyberthreats during and
post-pandemic
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