Cybersecurity’s dual AI reality: Hacks and defenses both turbocharged

Underestimate how quickly adversarial hackers are advancing in generative AI, and your company could be patient zero in an outbreak of AI-enabled cyberattacks. Overestimate that risk, and you could quickly blow millions of dollars only to realize you were preparing for the wrong thing.

That dichotomy has divided the cybersecurity industry into two competing narratives about how AI is transforming the threat landscape. One says defenders still have the upper hand. Cybercriminals lack the money and computing resources to build out AI-powered tools, and large language models (LLMs) have clear limitations in their ability to carry out offensive strikes. Then there’s the darker view.

Cybercriminals are already leaning on open-source LLMs to build tools that can scan internet-connected devices to see if they have vulnerabilities, discover zero-day bugs, and write malware.

Read more at Axios