What methodologies evaluate cybersecurity risks in trust-based systems like federated AI models?
What methods assess cybersecurity risks in trust-based systems like federated AI models?
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One methodology that evaluates cybersecurity risks in trust-based systems like federated AI models is threat modeling. Threat modeling helps identify potential security threats and vulnerabilities within the system, allowing for proactive risk assessment and mitigation strategies. Other methodologies include penetration testing, risk assessment frameworks like FAIR (Factor Analysis of Information Risk), and compliance assessments against relevant security standards and regulations such as NIST Cybersecurity Framework and GDPR.