Cyber attacks are the biggest challenge and drawback of the technological era. Annually organizations from around the world face a huge economic loss because of the same and they strive to build a robust solution against it. Cybersecurity goals are hard to achieve and companies need to update their techniques and methodologies regularly for the same.
Increment in Skilled Workforce
Cybersecurity industry is highly deficient of skilled professionals, especially the enterprise security industry. Demand for skilled workers is gradually increasing which is opening gates for new opportunities. But to fulfill current needs organizations can look up to training their existing employees with cybersecurity methods which will give them the minimal defense against the cyberattacks or at least they could be trained to avoid the same. Awareness will also help as more the people will be aware the more they will shift towards cybersecurity and will opt it as a career.
Lack of skilled workforce has brought the need of automating the security process. Artificial intelligence (AI) and Machine learning (ML) are two such technologies that are being relied on for the same. Integrating AI and ML in cybersecurity defense will automate the operation and provide intelligence to learn from past and imply in present or future. Unlike, human controlled system, AI enabled system will be able to provide real-time security and patch the security pot-holes automatically. ML technology is capable to learn from each breach instance and develop a counter system for the future. Automation does not mean the elimination of humans; instead, there will be a shift towards monitoring, maintenance, and other strategic job roles.
Securing the IoT
The advent of IoT devices has made data collection and storage agile. Industries have integrated the technology to most of their processes, which gave hackers an easy target for cyber attacks. IT experts now have to focus on securing the IoT devices, as they are directly connected to Data Lake and exchange information without human intervention. Devices with enabled security layer have emerged but that will not suffice security needs, better and efficient solutions are required.
Currently, IoT devices and other data accumulation tools store the information over centralized storage making it highly vulnerable to cyber attacks. Blockchain’s distributed ledger technology appears as a solution for the same as it eliminates third-party, also is secured with cryptography technique.
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