Advanced attacks on firmware and hardware

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Moreover, many companies are implementing chatbots built on LLM to improve the level and scale of customer service. However, AI technology can create new information security and privacy risks, such as potentially exposing sensitive data. This year, we may see cybercriminals attempt to manipulate chatbots to bypass security measures and gain access to sensitive information.

AI is helping to democratize technology by helping less-skilled users perform more complex tasks more efficiently. But while AI is improving organizations’ defenses, it can also help attackers launch attacks on lower system layers, such as firmware and hardware, which have been on the rise in recent years.

Historically, such attacks have required extensive portugal mobile database 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.

A New Frontier for Cybersecurity
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.