Cloud Security Podcast Is AI Hallucinations a Myth and the Real Threat from AI
Mar 6, 2026
Edward Wu, Founder and CEO of Dropzone AI, builds AI agents that automate SOC triage for cybersecurity teams. He discusses how attackers currently use LLMs for reconnaissance and spear-phishing. He explains why major commercial models restrict exploit generation. He describes AI agents already automating massive volumes of alert investigations and reframes hallucinations as context failures.
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AI Focuses On Recon And Spear Phishing
- AI today mainly automates early-stage attacker tasks like reconnaissance and spear-phishing rather than full multi-step campaigns.
- Edward Wu cites open-source LLMs finding subdomains, IP ranges, open ports and crafting personalized phishing as trivially automatable examples.
Major LLMs Restrict Exploit Generation
- Commercial LLM providers now block exploit-generation use unless users are vetted and authorized.
- Edward explains vendors require identity proof and written use-case descriptions before allowing models to be used for finding or weaponizing vulnerabilities.
MSSPs Should Shift To AI Delivered Triage
- Move MSSP offerings from 100% human delivery to predominantly AI-driven investigations to meet higher quality and speed expectations.
- Edward notes AI lets MSSPs deliver 80–90% automated outcomes so analysts focus on the hardest 10% for customization.