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Like any other field of information technology, identity and access management has been rapidly evolving to meet new business challenges created by the Digital Transformation. As modern businesses are becoming increasingly open and interconnected, IAM solutions now need to cover not just employees, but customers, partners and smart IoT devices. They must be able to handle the growing complexity of managing and monitoring access to the company’s most valuable digital assets, regardless of their format, location or scale, while still maintaining compliance and protecting them from cyber risks.
Traditional enterprise IAM solutions still largely follow the siloed approach, with different departments and teams responsible for managing individual IT systems. Increasing complexity of IAM systems, especially for the largest, geographically distributed companies can also substantially reduce other employee’s business productivity, to say nothing about uncovering and mitigating security incidents. Next-generation IAM systems should be capable of utilizing continuous learning and reasoning to support humans in their decision-making and help them perform their tasks more quickly. Applications of cognitive technologies to cyber-security and IAM promise just that.
Language: English • Duration: 01:02:25 • Resolution: 1280x720
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