Tech Expert Warns AI Could Surpass Humans in Cyber Attacks by 2030

Jacob Steinhardt, an assistant professor at the University of California, Berkeley, shared insights at a recent event in Toronto, Canada, hosted by the Global Risk Institute. During his keynote, Steinhardt, an expert in electrical engineering, computer science, and statistics, discussed the advancing capabilities of artificial intelligence in cybersecurity.

Steinhardt predicts that by the end of this decade, AI could surpass human abilities in executing cyber attacks. He believes that AI systems will eventually develop “superhuman” skills in coding and finding vulnerabilities within software.

Exploits, or weak spots in software and hardware, are commonly exploited by cybercriminals to gain unauthorized access to systems. Once these access points are found, attackers can execute ransomware attacks, locking out users or encrypting sensitive data in exchange for a ransom. 

Traditionally, identifying these exploits requires painstakingly reviewing lines of code — a task that most humans find tedious. Steinhardt points out that AI, unlike humans, does not tire, making it particularly suited to the repetitive process of exploit discovery, which it could perform with remarkable accuracy.

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