Research Brief 003
One Chain: Disclosure and Accountability in AI Commerce
Two original audits examine how disclosure and accountability travel from AI-generated advertising to product recommendations and checkout.
Program I
Accountability · deployment · oversight · emerging technologies
Research Brief 003
Two original audits examine how disclosure and accountability travel from AI-generated advertising to product recommendations and checkout.
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An open-weight model now builds exploits at the level AI labs restricted in April. Defensive advantage depends on access to private programs and on how fast fixes reach production.
Figure 1
Two clocks from different datasets, drawn separately because they measure different intervals
Attacker clock · Median time from discovery of a vulnerability in the wild to weaponization
Defender clock · Median days to fully patch a known exploited vulnerability
Share of known exploited vulnerabilities fully remediated fell from 38% to 26%.
Note: Microsoft and Verizon use different datasets and reporting periods, so the two clocks should not be read as a ratio. Microsoft gives its figure as a ceiling. Verizon’s 2026 report covers activity in 2025.
Sources: Microsoft Digital Defense Report 2026, as reported by Help Net Security; Verizon 2026 Data Breach Investigations Report, as reported by CyberScoop.
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Searchlight 026
Horizon Scan 001, AI Governance in Regulated Industries. The AI Governance Pulse and the Governance Readiness Assessment, both published as open-methodology tools. Research Briefs on financial-sector and healthcare AI governance. Track II working sessions on cross-jurisdictional regulatory convergence.