• AI is rapidly becoming embedded in day-to-day enterprise workflows, inside browsers, collaboration suites, and developer tooling. • As a result, AI service domains increasingly blend into normal corporate traffic, often allowed by default and rarely treated as sensitive egress. • Threat actors are already capitalizing on this shift. • Across the malware ecosystem, AI is being used to accelerate development and operations: generating and refining code, drafting phishing content, translating lures, producing PowerShell snippets, summarizing stolen data, assisting operators with next decisions during an intrusion, and, in extreme cases, developing full C2 frameworks such as Voidlink. • The practical outcome is simple: AI reduces cost and time-to-scale, and helps less-skilled actors execute more complex playbooks. • But the next step is more consequential: AI isn’t only helping attackers write malware, it can become part of the malware’s runtime.

Article Summaries:

  • AI is rapidly becoming embedded in day-to-day enterprise workflows, inside browsers, collaboration suites, and developer tooling. As a result, AI service domains increasingly blend into normal corporate traffic, often allowed by default and rarely treated as sensitive egress. Threat actors are already capitalizing on this shift. Across the malware ecosystem, AI is being used to accelerate development and operations: generating and refining code, drafting phishing content, translating lures, producing PowerShell snippets, summarizing stolen data, assisting operators with next decisions during a

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