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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135144Z
LOCATION:Grand  E/F
DTSTART;TZID=America/Chicago:20251016T133000
DTEND;TZID=America/Chicago:20251016T135000
UID:HFESAM_ASPIRE 2025_sess102_LECT273@linklings.com
SUMMARY:Deciphering Human Error: Improving Cybersecurity Reporting
DESCRIPTION:Saroja Roy Grandhi and Jeremiah Still (Old Dominion University
 )\n\nHuman error is often cited as a primary cause of cybersecurity breach
 es, but how clearly and consistently is it actually reported? Our qualitat
 ive analysis of five major 2024 cybersecurity reports (Verizon DBIR, IBM C
 ost of a Data Breach, ENISA Threat Landscape, Microsoft Digital Defense Re
 port, and Global CISO Survey) identifies significant inconsistencies, gaps
 , and ambiguities in how human error is defined, categorized, and reported
  across the industry. The absence of a standardized classification framewo
 rk limits the effectiveness of comparisons and mitigation strategies. Draw
 ing insights from established human factors frameworks such as HFACS and R
 eason’s Swiss Cheese Model, we will share our findings on these reporting 
 inconsistencies and propose a path towards a standardized Human Factors cl
 assification system. Join us to discuss how adopting an industry-shared fr
 amework could revolutionize the diagnostic impact of human-centric securit
 y.\n\nTrack: Cybersecurity\n\nSession Chair: Calvin Nobles (UMGC)\n\n
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