AI and Cyberattacks: How Neural Networks Help Hackers
Anthropic examined 832 accounts banned for cyberattacks. The main finding: AI lets less experienced hackers do what once required expertise. 56% of new threat actors moved into the medium-to-high risk category. Attacks are shifting from attempts to gain access toward operations carried out inside a compromised network.
AI-processed from Anthropic Blog; edited by Hamidun News
Anthropic's research shows that neural networks and AI are becoming tools for cyberattacks. After analyzing 832 accounts banned for cyberattacks between March 2025 and March 2026, the company reached an alarming conclusion: AI does not simply amplify existing methods, it democratizes dangerous skills.
What share of cybercriminals use AI for attacks?
According to Anthropic's research, two-thirds (67.3%) of hackers use neural networks to prepare for attacks, primarily to write malware.
How are neural networks used inside a compromised network?
6.5% of hackers use AI for lateral movement: navigating and moving deep inside a compromised network, something that previously demanded a high level of skill.
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Key Questions Answered
What share of cybercriminals use AI for attacks?
According to Anthropic's research, two-thirds (67.3%) of hackers use neural networks to prepare for attacks, primarily to write malware.
How are neural networks used inside a compromised network?
6.5% of hackers use AI for lateral movement: navigating and moving deep inside a compromised network, something that previously demanded a high level of skill.
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