AI won’t automate cybersecurity — but it’ll improve the solutions we already have
Cybersecurity, a huge industry worth over $100 billion, is regularly subject to buzzwords. Cybersecurity companies often (pretend) to use new state-of-the-art technologies to attract customers and sell their solutions. Naturally, with artificial intelligence being in one of its craziest hype cycles, we’re seeing plenty of solutions that claim to use machine learning, deep learning and other AI-related technologies to automatically secure the networks and digital assets of their clients.
But contrary to what many AI development company profess, machine learning is not a silver bullet that will automatically protect individuals and organizations against security threats, says Ilia Kolochenko, CEO of ImmuniWeb, a company that uses AI to test the security of web and mobile applications
Also Read: Top 10 Fantasy Cricket Apps List in 2024
Artificial intelligence won’t automate cybersecurity
“In cybersecurity today, we overestimate the capacities of machine learning,” Kolochenko says. “When talking about AI, many people have this illusion that they can just plug-in software or hardware that is leveraging AI, and it will solve all their problems. It will not.”
According to Kolochenko, one of the main causes of data breaches and security incidents is the lack of visibility on company data and assets. Organizations are growing larger and more fragmented, and they’re not doing a good job at keeping tabs on all their data and computing devices.
“Organizations are becoming so large, so clumsy that they have no idea where their data is stored, who has access to their data, how many devices, cloud storages, IoT devices, etc. they have, and all this leads to a very expansive, continuous and inevitable incidents and data breaches,” Kolochenko says.
This is an area where machine learning won’t help. Organizations need to have proper processes and practices in place to keep a continuous inventory of their digital assets. “If you do not have a process—even a paper-based process—of how you do things, who is responsible, who is accountable, who has the capacity to do continuous inventory, AI will not help,” Kolochenko says.
This article is originally published at TNW
Mobile applications developed with the utilization of AI are undeniably more productive, effective, speedy to react, and slack-free. The job of AI in the future of mobile app development is without a doubt exceptionally critical. It provides developers of mobile apps with a lot of freedoms to enhance and accelerate. With the usage of AI in the development of mobile applications, people and machines are now speak with one another. If you want to develop a Mobile Application with AI Technology, then you should consider HashStudioz Technologies. Hashstudioz Technologies brings you the latest technological advancements in the domain of IoT , Blockchain , Artificial Intelligence , Mobile , and Web development technology in providing businesses with the optimal solutions. The expert team of developers has expanded their portfolio in automotive, healthcare, manufacturing, retail.
ReplyDelete