With the advent of IAM, organizations are experiencing a secure and manageable digital transformation in terms of identity management and security. IAM solutions powered by Artificial Intelligence (AI) can enhance the security and identity recognition potential more precisely.
Leveraging machine learning algorithms can enable the IAM system to learn from millions of user actions, behaviors, and authentication transactions & spot or predict anomalies or security breaches. Tech visionaries are envisioning a future where machine learning (ML) systems will observe computer sessions, identify whether a genuine person is accessing the system, predict internal and external threats, and understand the data breach pattern beforehand.
Further, Zero trust is all about securing IT infrastructure and data via a framework that can tackle safeguard remote workers, hybrid cloud environments, and IT in general. It works on the assumption that any network is always at risk of either internal or internal attacks. Zero trust means an individual is not just trusted because they are on the network. They have to prove who they are and are given only limited access to systems they need. But beyond safeguarding and vetting individual identities, the next frontier is now verifying machine identities.
With the upsurge in identity theft & privacy leakage over the past few years, organizations from different sectors are planning to incorporate decentralized identity ecosystems and not to use centralized systems for identity management. That is why IAM vendors and product developers are focusing on leveraging blockchain to gear up identity management in a decentralized form.
Through blockchain technology, implementing a decentralized identity ecosystem will protect user identity because such system will follow a user-centric model. The users will be responsible for managing their identity data. That will also promote the identity governance & administration (IGA) and other regulatory compliance to align with the organization’s data privacy and security architecture.
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