decrypting myths
Four common
misconceptions
about cybersecurity,
Recent nation state
cyberattacks have created
many mistaken beliefs
regarding cybersecurity
concepts and solutions.
Adenike Cosgrove,
Cybersecurity Strategist at
Proofpoint, debunks the four
most common misconceptions
circulating the cybersecurity
space right now.
Misconception
#1: “Machine
MISCONCEPTION
#1:
Learning
is just
a buzzword,
“Machine
Learning
is just ‘real
enterprise
solutions’
don’t use
a buzzword,
‘real enterprise
Machine
Learning.”
solutions’
don’t use
Machine Learning.”
Although it is true that Machine Learning
is a buzzword across the industry, saying
that ‘real enterprise solutions’ don’t use
Machine Learning is completely false.
When Machine Learning is properly
implemented, it can help answer a whole
array of data-heavy problems such as
threat analysis and threat detection.
A limited number of cybersecurity
providers are beginning to leverage
Machine Learning throughout their
portfolio to benefit from the advanced
offering it can provide. It can help
process relationships across billions
of threat data points and help identify
emails with violations for regulatory
purposes. As the need grows to
reconcile large amounts of data for
greater insight, Machine Learning will
continue to have a role in nearly every
aspect of our business.
www.intelligentciso.com
|
Issue 11
As the need grows
to reconcile large
amounts of data
for greater insight,
Machine Learning
will continue to
have a role in nearly
every aspect of
our business.
Misconception #2: “If your
MISCONCEPTION
#2: “If at your
solution
is good enough
solution
is
good
enough
at
catching bad stuff, you don’t
catching
bad
stuff,
you
don’t
need to sandbox.”
need to sandbox.”
Having strong static analysis and
reputation-based technologies
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