How Business Leaders Can Use AI To Bridge The Cybersecurity Skills Gap

Original article can be found here (source): Artificial Intelligence on Medium

How Business Leaders Can Use AI To Bridge The Cybersecurity Skills Gap

Cyberattacks on the likes of several tech giants have brought to the fore the challenge of bridging the skills gap in the cybersecurity space in India. And, artificial intelligence being the latest buzzword of the tech industry, is being touted as one of the key solutions to the cybersecurity skills gap. According to a report, it is estimated that there will be 3.5 million unfilled cybersecurity jobs globally by the year 2021. And therefore, companies are struggling to find adequate qualified people to assist in creating an intelligent cybersecurity framework. The challenge has become apparent in the last five to ten years with a sharp increase in cyberattacks, all the way from ransomware to zero-day malware to now sneaky crypto-mining attacks. So, do you think artificial intelligence can be the cure to all our cybersecurity problems, or will it make the skills gap even worse with the changing landscape? During a threat landscape, businesses need to be on their best security game. Therefore, an effective way to improve the security operation of a business is to harness the power of artificial intelligence for streamlining the identification, analysis, investigation, and prioritisation of security alerts. In addition to streamlining crucial aspects of the cybersecurity process, AI can also help organisations by being the key tool for security professionals, which can then be applied directly to the application process. Through the use of AI and analytics techniques, businesses can create supervised learning, graph analytics, and reasoning processes, along with leveraging the power of AI to automate the data-mining process. AI-based tools can also reduce the number of manual error and identify threat actors, along with benefits such as the constant monitoring of an organisation’s network, which significantly reduces the risk of silent attacks such as cryptojacking. Furthermore, the inclusion of AI within an organisation’s cybersecurity infrastructure is the perfect way to encourage employees and business leaders to take a more proactive approach, rather than the more traditional reactionary approach, where a security staff works on detecting and mediating threats before they escalate. As companies are struggling with the growing array of cyber threats, be it internal or external, artificial intelligence and machine learning are believed to be playing significant roles in bridging the workforce gap. But, the main question will always remain to what extent machines can support as well as enhance the cybersecurity department of an organisation? And, if it is successful, then will it negate the need for human intervention? According to a report, the impact of cyber attacks on businesses could reach $6 trillion by 2021. Apart from the financial loss, high profile data breaches can also create a privacy concern; in some cases, people’s lives and reputations are also at risk. So, to fill the skills gap, businesses can involve artificial intelligence in their workforce, which will not supplant people, instead will offer employees with a combination of man and machine, in order to enhance their performance. The beauty of AI is that it takes up tasks, which are minimal and requires repetition, which in turn will leave the employees to focus on the bigger picture. In this article, we are going to talk about a few ways where artificial intelligence can help. Businesses, nowadays, are constantly looking at adopting modern technologies that enable growth. However, the fact is, these modern technologies don’t have basic inbuilt security features, and therefore can create problems during early adoption. Artificial intelligence can provide contextualised security, which enhances the built-in security in niche products of the organisation. The cybersecurity team can leverage artificial intelligence to build adequate monitoring capabilities using the context of the solution deployed.

Posted on 7wData.be