AI is revolutionizing the way security researchers handle vulnerabilities, especially zero-day exploits. Google's Threat Intelligence Group reported a case where AI was used to develop a zero-day exploit, highlighting AI's potential in cybersecurity. The challenge remains in quickly identifying and patching affected systems after a vulnerability is discovered. AI can expedite this process, but its success hinges on accurate software inventories and efficient container management. As AI accelerates vulnerability research, organizations with robust systems will have a significant advantage.
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© WIRED AICisco Talos has uncovered a new infostealer strain that actively uses commercial LLMs to profile victims and prioritize high-value targets. Dubbed Volta-Autodoxer, the malware collects credentials and browsing data, then feeds this into models like Claude Opus 4.6 via OpenRouter to generate structured intelligence dossiers. This marks a shift from passive data theft to active, AI-driven triage, allowing attackers to bypass guardrails with fallback models like Kimi K2 or Gemini. The capability foreshadows a future where lower-sophistication criminals can execute sophisticated, targeted attacks at scale.
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