The advent of technology has offered a drastic change in everyday life, but these technological advancements have also paved the way for different cyber threats. It is the toughest challenge these days to fight against cyber attacks to ensure the security of sensitive data and privacy. It has been estimated that cybercriminals will steal 33 million data by 2023. It is high time to redefine the cybersecurity landscape. The advanced cybersecurity products are taking resort to Artificial intelligence, and several AI applications are being trained to handle large datasets. This training is enabling them to sort out any abnormal behavior, and AI is enabling cybersecurity solutions to act precisely and quickly.
Cloudbric is playing a vital role in the field of AI-based cybersecurity. The company focuses on the oversaturation of the security platform, non-availability of proper information on the threat, and the uncertainty of security vendor. Cloudbric is working to make the blockchain industry safer, and it offers the users the chance to access information security by making it open. The Universal Security Platform is a provider of cybersecurity solutions through AI and deep learning. Cloudbric’s module VISION is an intelligent threat detector ensuring that it makes proper use of the threat data collected from its vast network. It shares this data on the blockchain. Cloudbric allows enterprises to use its custom API to access data. Its security application can receive real-time security data and provide protection. CLB token plays an important role in the Cloudbric platform, and this ERC20 token has been built on Ethereum blockchain. The maximum supply of CLB token has been restricted to 1 billion.
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As per the report of Statista, the world will have 50 billion connected devices by 2020. So, the use of AI will be essential. AI will detect threats using automation. This process will be quick and fruitful. Cybersecurity powered by AI is going to be the demand of the market; however, AI is expected to invite specific vulnerabilities. The upcoming years will witness smarter deployment of AI applications, and this smartness will pave the way for new malware, and the cyber attacks will become organized and sophisticated. The providers have to address these pitfalls seriously before using AI for cybersecurity.