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The Threat to BFSI Sector
Cyberattacks are no news in the industrial sector but the
BFSI sector is worse off. According to a report the insurance and finance
sector was the most attacked and that too for the fifth time in row. Banks have
sensitive information of their clients and companies.
Since the use of internet is on the rise due to features
such as mobile payment, internet banking, online money transfer, online
shopping and cross border money transfer. Tools such as fraud-as-service is now
more commonly available on the dark web.
It allows the hackers to mess with the security of financial sector. Phishing and social engineering are other tried and tested methods that are in use to steal financial information.
AI to the Rescue
Gone are the days when simple anti-virus software were
enough to give you peace of mind. These are not enough even for hackers with
the most modest resources and skill. An effective security system needs to
change with the attacker so that it can adapt to what the attacker is doing and
stop it.
Development of these kind of systems is possible with AI
technology. AI can successfully complement your security strategies and
solutions and give you more information than you’d normally get.
Take security logs in SIEM as an example. Normally, it’d
only serve a simple purpose but when combined with AI it’ll help you detect
threats and anomalies that are hidden in the system and waiting for the right
time.
Making Up for Lack of BFSI Security Talent
More and more companies are claiming that their staff lack
the skills for dealing with cybersecurity issues. The impacts of the shortage
of these skills are being felt by the BFSI sector. The AI technology can help
amplify these abilities.
AI doesn’t require you to manually sift through the data, it
automatically does that and detects threats. It is much faster than its human
counterpart. However, it is important for humans to provide feedback when
applying the AI and machine learning technologies. It requires time and effort.
You’ll be rewarded in the form of improved monitoring and
predictive abilities. This in return means that the rate of false alerts will
be reduced as the system will be able to detect real threats.
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