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Connecting Cyber Risks to Board Outcomes & BHUSA interviews from Mimecast & Zscaler - Leslie Nielsen, Brett Stone-Gross, Dan Bowden - BSW #462

Aug 26, 2026 · 1h 7m

Summary

Business Security Weekly episode 462 features Dan Bowden, Global Business CISO at Marsh, discussing how to align cyber risk with board outcomes through coordinated incident response and culture-driven metrics. The episode also includes pre-recorded interviews from Black Hat USA 2026 with Leslie Nielsen, CISO at Minecast, and a representative from Zscaler. Nielsen explores securing AI agents by treating them as non-human identities and addressing the risks of rapid adoption and shadow AI.

Topics discussed

Show intro and guest introduction Host banter and Infosec World promotion Dan Bowden's background and Marsh's data Football analogy for cyber defense coordination Connecting dots and telling the collective story AI security and organizational buy-in ThreatLocker ad break Culture, tone from the top, and metrics Crafting board-level metrics and outcomes Marsh's Cyber Catalyst report and benchmarks Incident response testing and industry comparisons Ransomware trends and third-party dependencies PCI bias and risk transfer decisions Assessing third-party exposure and likelihood Outsourcing services vs. outsourcing risk Annual loss expectancy and closing remarks Edge for Business ad and Black Hat intro AI agent risks: speed, sprawl, and visibility Non-human identity management for agents The security pendulum and control enforcement AI service catalogs and shadow AI Framing AI risk for the board Code42 acquisition and agent visibility Training agents and acceptable use policies Practical next steps for agent security Exit policies and insider threat framing Tanium ad and Brett Stone-Gross intro Ransomware victim demographics and targeting Targeting accounting and finance departments Social engineering via fake IT support Countermeasures and monitoring recommendations Red flags in social engineering outreach Origina ad break Exploiting default behaviors and training gaps AI exacerbating existing security problems AI-generated phishing and code Non-technical targets and threat modeling Personal protection tips and future research Show outro and subscription info
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