The Silicon Review - Best Business Review Magazine 10 Best Security Companies 2019 | Page 29

It wouldn’t take much time for a
hacker to invade into a firm’s system
and either steal critical data or hold
it for ransom. Taking a situation
like this into account, what can best
describe the efficiency of any AI tool
is its ability to recognise an attack at
the earliest stages and send alerts to
the right people.
There’s no doubt that
cybercriminals will always be on the
lookout for new ways of executing
effective attacks, and as a result
some have begun to leverage AI for
their own purposes. This means that
firms of all sizes have to invest in the
best machine learning software in
order to beat the competition and
stay ahead of the game.
Cloud Integration
The way how companies operate
on the web, to a large extent, is now
governed by the cloud computing
movement. Firms no more have
to host servers and equipment in
local offices or small data centres;
instead of that, they can just take
help of platforms like Amazon Web
Services and Microsoft Azure and
get their systems shifted to the
cloud. However, this has proved to
be both a blessing and a curse in the
cybersecurity world.
With the advancements in cloud
technology, companies have fewer
pieces of physical hardware to
worry about. But they surely have
to be critical of putting their trust
in cloud platforms that will contain
all of their sensitive data. This, in
turn, again generates a new range of
potential threats and vulnerabilities.
The latest AI and machine learning
systems are all based on software
algorithms making it easier for
firms to get them deployed across
their cloud infrastructure and
services. AI is finding its application
in the best of antivirus tools for
scanning through servers and
finding instances of malware. The
algorithms are smart enough to
learn everything on their own self
and detect malicious softwares.
When businesses have an intelligent
system based on machine learning
watching over their systems, every
business of every size can be sure
of a secure cloud environment
and protect them against malware
penetration. It is very tough to
completely eliminate the risk, no
matter what your cloud provider
says, but one should always ensure
the security of their applications
and websites by their own means.
This is where AI comes in to offer
effective tools to do that.
This scenario will take some more
time to happen because even the
strongest AI cybersecurity tools
that we know of needs collaboration
with the human world.
Currently, machine learning
systems are being developed to
be better and better at natural
language processing and trend
analysis. However, at the end of
the day, humans still can do a
better job at interpreting spoken
and written test thereby adding
much value to the efforts put in
synthesizing the reports generated
by AI. Generally speaking, it’s not
sensible to let machine learning
systems take control over the
decision making process because
AI is still not perfect at identifying
cyberattacks. Therefore, humans
need to be alerted in case of a
threat, and they need to decide
the next course of action.
SR
Human Interaction Is
Still Essential
Now the question to ponder upon
is whether machine learning
algorithms will have the capability
to be so smart that they reduce the
need for any sort of human input.
APRIL 2019
29