As cyber threats become more exceptional with each passing year, so should the technologies that businesses achieve to advance cybersecurity and prevent cyberattacks and data exposures.

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5 Bene ts that AI gives to Cloud Security
venkat k
Apr 28 · 4 min read
As cyber threats become more exceptional with each passing year, so should the
technologies that businesses achieve to advance cybersecurity and prevent
cyberattacks and data exposures.
The modem hacker is smart and intelligent, and they will try to use every possible
loophole in your firewall and security arrangement to gain access to your IT base, tap
into your data centers, and sell all of that valuable data to the highest bidder.
Most importantly, understand that the modern hacker has all of the modern tech and
software required to enter your system. This is why forward-looking companies have

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begun executing AI and machine learning into their techniques in order to increase their
cybersecurity as a whole.
Let’s explore the five important advantages that AI brings to the table, and how your
company can benefit from its implementation when it comes to cloud security.
Also Read: Artificial Intelligence In Cybersecurity Everything You Need To Know In
2020
Early prediction and identifying anonymous threats
Modern cloud providers offer many early warning systems for companies looking to stop
a possible cyberattack before it ever happens, and even if you’re not running your IT
base on a managed cloud platform, your focus should be on using effective early
warning systems.
Yes, your cybersecurity experts and the specialists behind your cloud provider are
excellent at investigating trends, merging cybersecurity data, and making actual
foresight, but AI is better.
Because of its huge computing power and its ability to analyze large amounts of
important information much faster than a human employee, artificial intelligence can
quickly discover, change, and add security measures way ahead of time.
This means that you’re taking a proactive approach to identify possible cybersecurity
warnings, and acting on different online activities well before the hackers get the chance
to launch the attack.
Analyzing large amounts of data
The great thing to know about cybersecurity systems, whether they are set up in-house
or as part of a cloud-based platform, is that they produce abundant amounts of data on a
daily basis.
Literally, this is more information than your employees or any number of qualified
professionals could analyze in a realistic timeframe, let alone in a timeframe that will

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allow you to respond proactively and achieve new cybersecurity measures to prevent an
attack.
However, with the implementation of artificial intelligence and machine learning, all of
that information becomes easy. Machine learning systems can organize and analyze
large volumes of data, detect models, learn, and then rapidly complete new security
measures or advise the human IT experts of the best steps forward.
With so much data processed on a daily basis, machine learning makes it easy to spot
every change in the normal flow of online activity, and asses the threat level with
accuracy.
Protecting the infrastructure from data leaks
Migrating your business onto a cloud-based infrastructure just makes understanding
nowadays, as it allows you to reduce IT expenses, and make all of your means more
efficient and productive.
More importantly for today’s topic, though, advanced cloud services provide you with
the level of security that can successfully protect your business from data leaks.
By combining AI and machine learning with leading security systems such as network
and gateway security, endpoint protection, cloud access, and application security, these
providers can successfully close the loop on cybersecurity as a whole.
This creates an air-tight system that learns and becomes more efficient and effective over
time, meaning that no matter how much any hacker tries to outsmart the system, they
will quickly be discovered, analyzed, and shut down.
With that in mind, if you still haven’t migrated to the cloud, perhaps now’s the time to
take your cybersecurity game to the next level.
Delegating routine tasks to AI
One of the problems many companies face but are uncertain about how to undertake
efficiently is the cumbersome task of managing a proactive cybersecurity network.

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Now, it’s no secret that AI is used across a multitude of industries to automate various
tasks, so why should cybersecurity be any different? Instead of wasting your resources,
you can automate repetitive and routine tasks to your AI counterparts, and allow your
experienced IT staff to focus on the complex problems and the integration of innovative
security measures.
Using machine learning to improve all processes
And finally, keep in mind that machine learning has a very specific, and a very valuable
purpose — to learn and evolve over time. When put into context, machine learning is
one of the best investments you can make when it comes to all departments in your
company, and especially when it comes to cybersecurity. Simply integrate the
technology into your system or find that cloud provider that uses machine learning, and
let it learn over time in order to elevate cybersecurity and all complementary processes.
Wrapping up
Cloud security is more important now than ever before, as the level of cyber threats in
the online world continues to rise with each passing year. Luckily, though, AI and
machine learning can help companies and cloud providers improve all cybersecurity
processes and leverage these technologies to create a safe IT infrastructure.
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