The role of AI in cybersecurity: what does it mean for today’s businesses?
January 26, 2022
As AI and cybersecurity both gain momentum as buzzwords in today’s technology and business
landscapes, what makes them truly worthwhile – especially if they’re merged together? As
business leaders and cybersecurity teams scramble to stay on top of the latest threats, here’s
how AI has been contributing to cybersecurity, for improved outcomes.
Intelligent threat hunting based on big data.
Big data is all the rage, but how is it made useful in the context of business value? AI is one
such outlet, as technologies such as Machine Learning can be deployed to scour data acquired
through security operations, for possible patterns and trends that suggest risk. Algorithms can
be further honed for accuracy, under the supervision of a cybersecurity professional. This can
provide cybersecurity teams the ability to triage threats based on risk quotients, as opposed to
being subjected to alert fatigue by monitoring every single threat that comes their way.
Accurate and automated incident response
Once threats can be correctly prioritized, they can also be automated so that little to no manual
intervention is required on the part of cybersecurity teams. With a shortage of cybersecurity
professionals in the market, this is a boon for businesses that house their own SecOps teams,
as well as for cybersecurity vendors that act as Managed Security Service Providers (MSSPs)
with fully-fledged Security Operations Centres (SOCs).
With zero-day threats constantly lurking round the corner, being able to create a cadence to
respond to existing threats can enable cybersecurity professionals to focus their attention on
untouched, unaddressed areas within the organization – and the cybersecurity landscape at
Predictive analytics for proactive security.
As AI and Machine Learning contributes to continuous threat hunting, this gives cybersecurity
teams the opportunity to proactively analyse the threat landscape. Obtain comprehensive and
precise foresight into how future threats could look like, so your organisation can contain such
threats before they ever strike.
This can also enable cybersecurity teams to substantively report to all stakeholders, in an effort
to always stay one step ahead of future threats. Staying proactive when it comes to
cybersecurity is essential in this day and age, as customer data and regulatory compliance both
demand optimum security – a failure of which can lead to disastrous business consequences.
In a nutshell…
AI is everywhere, and so is cybersecurity. But how can the two be amalgamated to produce a
powerhouse of holistic protection? By using technologies such as AI, Machine Learning and
Natural Language Processing (NLP), big data accumulated via routine cybersecurity operations
can be scanned to reveal patterns for both new and existing threats. Configure rules and
policies to automate protective barriers for prevention, or remediate lest disaster strikes.
Thanks to AI, cybersecurity experts now have the means to stay on top of every important
threat, as prioritization can be accurately carried out even with a shortage of skilled
professionals in the market. By automating incident response and conducting accurate
predictive analyses, AI can make all the difference in your organization’s overall cybersecurity