Can Artificial Intelligence solve all the problems of future? Can AI
make it easier to secure and protect sensitive data and classified
information? Can AI strengthen cyber security enough not to be breached
by hackers and cybercriminals? The answer lies in the exponentially
developing technology of machine learning. The evolution of technology
has come along with the dangers of cybercrime. Every day there is a new
threat for the cyber world and a need to find protection from that
threat. Machine learning can ably secure the network by detecting
threats at an advanced stage and counter the same.
At times machine learning is considered not to be true AI but its
prospected implications for cyber security gives hope to many. In simple
words, machine learning process means systems enabled with AI
applications automatically learning and improving from their experiences
without any outside programming intervention. The tech world is divided
into two opinions, some favoring machine learning as future of cyber
security and some skeptical of its capabilities.
The scalability and automation capability of machine learning can
efficiently analyze large pool of data, correlate simultaneous events
and learn to separate a typical from typical behaviors, thus enabling it
to detect potential threats even at advance level. Security products
having machine learning features can work on zero-trust security model
and thus the smallest level of suspicion or dormant threat can be
detected and removed. This model can surely surpass human capabilities
of a data scientist but the still unexplored areas in research field
give it a grey shade to be the best option for cyber security.
Today’s sophisticated cybercriminals are posing persistent threats to
the cyber world with new and even more dangerous malware, botnets and
viruses than before. The solutions coming with machine learning sounds
promising in such a scenario. The abilities of machine learning in
endpoint detection, critical response system, adaptive baseline behavior
and predictive analysis can secure the perimeters of cyber forts and
protect sensitive data. The pattern detection algorithms, advanced
analytics, and automated alerting systems make machine learning an
effective tool to fight cybercriminals.
Machine learning adroitly addresses the security concerns by analysis
of security data, time-series data, log data, contextual data, asset
data and data from directories and special purpose applications on the
basis of past threats detection array and behavioral analytics reports.
Although it addresses some of the concerns of cyber security yet threat
detection at an advance stage and intelligent threat response needs more
research and developments.
Corporate organizations, governments, and world forums at different
levels are fastening their belts and preparing targeted development
projects to counter cybercrime and secure the cyber world. Whether it
was EU General Data Protection Regulation (GDPR), UN Group on Cybercrime
and Cyber Security, UN Congress, security activities by intelligence
agencies or collaborated initiatives by big corporate originations for
cyber security, AI applications and machine learning are the hope for
network security and advance detection of threats.
Cybercrime is among one of the fastest growing transnational crimes
as per UN reports and it is adversely impacting individuals’ lives and
global businesses. AI and machine learning have tremendous potential to
counter the issue and safeguard the cyber world. The problem is equally
persistent for small organizations and corporate giants, thus multiple
levels of advance security are the need of the hour.
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