The adoption of IGA solutions also raises new challenges and concerns regarding the privacy and control of user data. Since IGA solutions collect, store, and process a great deal of sensitive information, including biometric data, behavioral data, and location data, users may wonder how their data is stored, shared, and protected. Moreover, users may have limited or no visibility into their own data or the ability to modify or delete it.
According to a recent report by Market Research Future, the global IGA market size was valued at USD 5.5 billion in 2022 and is expected to reach USD 19.65 billion by 2032, growing at a compound annual growth rate (CAGR) of 15.20% during the forecast period (2023 – 2032). A lack of awareness and expertise, high implementation costs, and privacy concerns are some of the key challenges that may hinder the growth of the market. For IGA solutions, organizations need to ensure transparency, accountability, and consent from users; implement robust encryption and authentication mechanisms; and comply with relevant laws and regulations, according to the report.
However, some critics argue that these laws and regulations are not enough to safeguard user data and privacy from IGA solutions. They claim that IGA solutions give too much power to organizations over user data, creating a power imbalance that could lead to misuse or abuse of user data. They also question the effectiveness and enforceability of these laws and regulations in different jurisdictions, especially in cases where user data crosses borders or is stored on third-party servers.
To address privacy and data security issues in IGA solutions, advocates suggest alternative approaches:
- User-centric identity management empowers users with control over their data and access rights. Users can decide what, when, where, and how to share data, and can revoke or modify consent at any time.
- Decentralized identity management utilizes technologies like blockchain to create self-sovereign identities, reducing reliance on central authorities. Users can verify their identity without revealing personal information.
- Privacy-enhancing technologies use methods like homomorphic encryption and federated learning to protect user data while maintaining its utility for legitimate purposes.
As IGA becomes more pervasive and powerful in managing user identities and access privileges, human oversight and governance remain essential to ensuring that machines serve the public interest and do not overrule human values.
