Modern malware is evolving beyond static code to incorporate AI at runtime for dynamic decision-making. Researchers have demonstrated how AI assistants like Grok and Microsoft Copilot can be abused as covert Command-and-Control (C2) relays. By exploiting web-browsing capabilities, attackers can tunnel data and commands through these platforms without requiring API keys or accounts, effectively hiding malicious traffic within legitimate AI service domains.
This "AI-Driven" (AID) approach allows malware to perform automated host triage, sandbox detection, and highly targeted data exfiltration. Instead of bulk-encrypting files, AI-guided ransomware can identify and prioritize high-value assets, significantly reducing the time needed to cause damage while evading volume-based detection heuristics. As AI becomes more embedded in enterprise workflows, defenders must treat AI traffic as a high-value egress point susceptible to sophisticated service-abuse techniques.
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