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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19163145 |
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Table of Contents:
- <p>The growth of the IAM discipline from a specialized IT function into the core identity trust fabric that secures everything from the cloud to hybrid workforces to mobile endpoints to connected financial systems has extended the scope of IAM engineering to include non-technical considerations such as ethical responsibility, economic impact, regulatory compliance, privacy, equitable justice, and workforce inclusivity. Key developments such as Zero Trust Architecture, AI-enabled access governance automation, and self-sovereign identity promise to address chronic vulnerabilities such as stolen credentials and privilege escalation that continue to plague organizations and expose individuals to considerable risks. Ethical issues surrounding data privacy, transparency, and algorithmic bias need to be proactively addressed by engineers with diverse backgrounds to avoid bias at scale. IAM systems provide substantial value by preventing fraud, improving operational efficiency, increasing infrastructure resilience, and enabling innovation in both the public and private sectors. GDPR and DORA impose increasingly specific technical requirements for IAM implementations; they also encourage desired engineering practices through a compliance-based market for assuring IAM systems. IAM-driven workforce skilling/specialization and democratization translate security capability broadly throughout organizations, but there is still a major lack of skilled security practitioners. Topics such as the governance of AI agents, the move to quantum-resistant cryptography, and the development of universal digital identity systems place IAM engineering at the cutting edge of change in digital society. Achieving IAM systems that are equitable, inclusive, coherent, and technologically sound is a permanent challenge for society</p>