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A seismic shift is upon us. Integrity flaws stand looming and untamed despite the security industry making great progress in availability and confidentiality awareness and control. Now a crisis of trust is developing as developers rush into “machine learning” with integrity a paramount risk. This talk will expose keys of past breaches of integrity to help attendees prepare to control ones just ahead.
Learning Objectives:
1: Review how integrity controls have failed and why.
2: See integrity control designs that work and how.
3: Find ways to detect and predict ML flaws that cause harm.
Pre-Requisites:
Familiarity with confidentiality, integrity and availability.
Learning Objectives:
1: Review how integrity controls have failed and why.
2: See integrity control designs that work and how.
3: Find ways to detect and predict ML flaws that cause harm.
Pre-Requisites:
Familiarity with confidentiality, integrity and availability.
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