# Department of Know Covers NVD Audit, Meta AI Leak, Microsoft Quantum > Source: > Published: 2026-06-05 23:51:10.219830+00:00 # Department of Know Covers NVD Audit, Meta AI Leak, Microsoft Quantum The weekly podcast "The Department of Know" published an episode whose headline topics are an NVD audit, reported problems with Meta's AI leaking data, and Microsoft edging closer to quantum computing. The episode listing names **Rich Stroffolino** as host and lists guests **Robb Dunewood** (host, Daily Tech News Show) and **David Cross** (CISO, Atlassian), per the RSS episode metadata. ITSecurityNews's indexed page also notes the show is live Fridays at 4:00 p.m. ET. The online listing provides episode notes and directs listeners to the recorded stream and show notes for details. ### What happened The security podcast The Department of Know published an episode built around three headline topics: an audit of the National Vulnerability Database (NVD), reports described as "Meta's leaky AI," and coverage of Microsoft moving closer to practical quantum computing. Episode metadata names Rich Stroffolino as host, with guests Robb Dunewood (Daily Tech News Show) and David Cross (CISO, Atlassian). The listing points readers to the recorded show and notes for the underlying reporting; it is a discussion of and pointer to primary coverage rather than an original disclosure. ### Why it matters For security and AI practitioners, the episode bundles three distinct risk timelines: near-term vulnerability triage tied to NVD scoring, medium-term governance of data leakage from AI tools, and longer-term planning for quantum-safe cryptography. Each topic maps to an established industry concern rather than a new technical finding presented here. ### What to watch - •Published NVD audit findings or CVE reclassifications that shift severity scores. - •Vendor advisories or reproducible demonstrations addressing AI data-leakage and retention controls. - •Microsoft technical posts clarifying what "closer to quantum" means in qubit counts, error rates, or algorithmic milestones. Consult the episode show notes and linked reporting for primary sources before acting on any headline claim. ## Scoring Rationale This is a weekly security podcast episode that aggregates and points to three topics, only one of which (AI data leakage) is squarely an AI/ML concern, and it carries no original reporting or technical disclosure. As a discussion-and-pointer item rather than primary news, it is minor for AI/DS/ML practitioners. Score pulled from 6.2 to 4.7 to reflect the limited original substance while keeping it above the visibility floor. Practice with real Ad Tech data 90 SQL & Python problems · 15 industry datasets [Active Search Campaigns by BudgetEasy](/problems/sql/active-search-campaigns-by-budget) [High CPC Clicks & Poor Landing PagesMedium](/problems/sql/high-cpc-clicks-poor-landing-page) [Campaign ROAS by Attribution ModelHard](/problems/sql/campaign-roas-by-attribution-model) 250 free problems · No credit card [See all Ad Tech problems](/problems/datasets/adtech)