
Is AI Hallucinations a Myth and the Real Threat from AI
Cloud Security Podcast
MSSPs, Expectations and AI Adoption
Edward describes two MSSP engagement types and how AI raises expectations for speed, quality, and customization.
Are attackers really using AI to run end-to-end cyber campaigns? In this episode, Edward Wu (Founder and CEO, DropzoneAI) joins Ashish to separate the hype from reality when it comes to AI-driven attacks .Edward explains how attackers are currently using open-source LLMs for reconnaissance and spear-phishing , and why the major commercial models now explicitly prohibit users from generating exploits without vetting . On the defense side, Edward shares how AI agents have successfully automated over 160 years' worth of alert investigations in the real world proving that 100% software-delivered SOC triage is already here .We also debunk the myth of AI "hallucinations," explaining why most errors are actually just poor context management . If you're building a security operations center or working with an MSSP, this episode will teach you how to shift from manual alert fatigue to leveraging AI for threat hunting.
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Podcast Twitter - @CloudSecPod
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Questions asked:
(00:00) Introduction(02:50) Who is Edward Wu? (Founder of Dropzone AI) (04:50) The Reality of AI Cyber Attacks Today (Recon vs. End-to-End) (07:20) Why Commercial LLMs Are Blocking Exploit Generation (11:50) How MSSPs are Evolving with AI Triage (18:20) The Asymmetric Capacity Gap: Why Humans Can't Keep Up (22:30) Automating 160 Years of Alert Investigations (23:50) Why AI Hallucinations are Actually Context Management Failures (26:00) Build vs. Buy: The Data Network Effect for AI Agents (29:20) The New Workflow for SOC Analysts & Threat Hunters(31:30) Defining "Threategy": Scope, Authorization, and Context (35:50) How to Detect Prompt Injection (Treat it like an Insider Threat) (38:30) Dropzone AI Announcements at RSAC
Resources spoken about during the episode:
- If you want to learn more about Dropzone- you can do that here!


