| Challenge | Description | Impact on Cybersecurity | Mitigation Strategies |
| Sources of Bias | Biases from historical inequalities, human decisions, and data gathering | Inadequate security measures in underrepresented areas | Diverse training datasets, synthetic data generation |
| Compounding Effects | Self-reinforcing biases due to feedback loops | Entrenched bias in AI systems | Continuous evaluation, bias audits |
| Differential Security Outcomes | Different protection levels for different groups | Higher rates of false positives for certain demographics | Transparent AI models, explainable AI |
| Risk of Manipulation | Exploitation of biases by attackers | Increased susceptibility to cyber-attacks | Stakeholder engagement, independent review |