Threat researchers at a major cybersecurity firm sounded the alarm this week after uncovering a sophisticated malware sample generated using large AI code models. Unlike typical threats, this program continuously evolves its code patterns and attack logic—even after deploying—to outsmart traditional antivirus and endpoint detection rules.
The AI-powered malware demonstrated abilities to rewrite its own “fingerprints,” inject itself into legitimate processes, and selectively avoid sandbox analysis. Initial reports indicate targeted attacks on financial services, where the threat was able to evade initial defenses and siphon account data for several days before being detected.
Security experts recommend organizations step up the adoption of behavior-based threat detection and invest in continuous monitoring supported by human analysts. The arms race between malicious AI and defensive AI is fully underway, and this week’s discovery reinforces a new reality: cyber defenses must now outthink, not just outpace, adversarial machines.
13-11-2025