Relying on identical software across organizations creates conditions where single vulnerabilities spread like epidemics. Cybercriminals target software with the largest market share because it maximizes their investment return - Windows systems attract far more malware than their actual security weaknesses justify. Automated tools now reverse-engineer security patches and create exploits within minutes, eliminating the testing window defenders once relied upon. Cloud concentration worsens this problem by centralizing critical systems where one failure affects thousands of organizations.

Epidemic models from biology prove that diversity reduces outbreak severity - yet technology continues concentrating on uniform platforms.

In this session, you will learn:

• Why market dominance creates situations where single flaws compromise entire ecosystems;
• Python simulations demonstrating how software diversity limits attack spread and impact;
• How profitable monoculture attacks fund sophisticated criminal research capabilities.