Historically, such attacks have required extensive technical knowledge, but AI is beginning to demonstrate the ability to lower these barriers. This could lead to more attempts by attackers to exploit low-level systems to gain a foothold below the operating system and industry-leading security software.
Over time, we expect to see an increase in malware targeting system firmware, such as MoonBounce and CosmicStrand. These attacks rely on exploiting weaknesses beneath the operating system. To counter these threats, we must focus on closing the attack surface on hardware and firmware.
AI will change cybersecurity, opening up vast opportunities for security teams to improve threat detection and response. For example, “AI second pilots” will help protect users by automatically detecting targeted phishing attempts.
The advent of AI PCs will also provide security benefits, allowing users to safely use AI on the device without the risk of exposing data to the cloud. Additionally, these devices will enhance data privacy with features such as auto-lock and privacy screens.
However, to use AI effectively, businesses must norway mobile database security first. This means knowing their data and environments, performing threat modeling to understand risks, balancing prevention and detection technologies, and implementing zero trust principles to keep data secure. Finally, organizations should consider partnering with reputable AI security providers to get the most out of AI while minimizing security and privacy risks.
Seal
A New Frontier for Cybersecurity
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