Summary
Palo Alto Networks’ Unit 42 analysed 405 malware samples linked to AI and found that roughly 97% stayed in sandboxes, research repositories or internal testing, while only 12 reached live endpoints. All 12 triggered security alerts, leading researchers to conclude that AI is currently shortening malware development cycles more than it is making malware harder to detect.
Why it matters
The findings provide an evidence-based counterweight to claims that AI has already transformed malware effectiveness, while leaving open the possibility that future tooling will improve evasion.