By: Syed Raiyan Ali – syedraiyanali@gmail.com, Department of computer science and Engineering( Data Science ), Student of computer science and Engineering( Data Science ), Madanapalle Institute Of Technology and Science, 517325, Angallu , Andhra Pradesh.
ABSTRACT
In identification verification and access control mechanisms, Artificial Intelligence (AI) integration has changed the nature in which security management and user authentication is conducted by organizations. This article focuses on the ways in which AI-powered technologies improve the precision, effectiveness and safety of identification verification. Through machine learning algorithms, biometric recognition and data analysis, real-time decision making is enabled by AI and it also lessens fraud cases as well as providing scalable solutions across different sectors. There are also some issues related to AI in this field discussed in this article such as privacy concerns or possible biases followed by a forecast of future trends while making suggestions for the application of AI in IDAM (Identity and Access Management).
Keywords: Artificial Intelligence, Identity Verification, Access Control, Biometrics, Machine learning, Security, Privacy, Fraud Detection
INTRODUCTION
In the today’s digitalized world, it is very important for organizations to make sure that their systems and information are secured from accessing them. The traditional ways of identifying people as well as controlling access such as passwords or personal identification numbers (PINs) are no longer enough because they can be easily broken into or made mistakes by human beings[1]. Hence, Artificial Intelligence (AI) emerges as an effective means of improving security through better, scalable and superior solutions aimed at identifying users or controlling entrances.
AI IN IDENTITY VERIFICATION
The identity verification systems that use AI are sophisticated computer programs that authenticate identities through analyzing numerous data points. They can process different documents such as passports or driver’s licenses, detect fraud and ensure that only authorized people get access to secret data[1]. The below image shows the AI in Identity Verification and what are the things it consider while verifying.
Biometric Recognition
AI-based identification verification systems often employ biometric technologies such as facial recognition, fingerprint scanning, and voice recognition[2]. By utilizing big data always acquired in real-time, AIs can match the algorithms to receive improved biometric accuracy which reduces potential errors made due to false positives and false negatives thus leading to better security levels.
Facial Recognition: Human face recognition algorithms are analyzed for comparison with stored images by AI algorithms. This kind of technology is primarily utilized in airports, banks, and mobile devices.
Fingerprint Scanning: AI reduces the risk of error caused by poor-quality scans by maximizing the specificity of fingerprints through analyzing unique patterns.
Voice Recognition: Speech patterns or voice features enable voice-based authentication which makes it nearly impossible for impostors to imitate.
AI IN ACCESS CONTROL
Access control systems are important in that they ensure only those persons allowed can enter restricted areas and access specific data[3]. In this regard, AI enhances access control through user behavior monitoring and analysis using real time decisions on whether to grant or deny access based on pre-defined security policies.
Behavioral Analytics
In order for AI to monitor how users interact with systems and data, it uses Behavioral analytics. By establishing a baseline of normal behavior, the anomalies might be detected showing the possibility of unauthorized attempts to get access. For example, if someone who usually logs into their account from a certain geographical location suddenly makes an attempt to log in from an unknown place, the AI system could treat this as unusual activity and alert administrators.
Adaptive Security
AI also allows adaptive security that move according the probable danger level about the access control standards. This means that whenever unusual behavior is sensed by an AI unit for instance, it will prompt tighter security measures automatically like asking for multi-factor authentication (MFA) or stopping access to sensitive information pending further verification.
FUTURE TRENDS
Future of Identity Verification and Access Control by AI is Bright: Some Trends Affecting Its Evolution are as Follows:
Integration with Blockchain: Use of AI together with blockchain technology can lead to more secure and transparent identity verification processes through immutable records of identity data[4].
Zero Trust Architecture: Implementation of zero trust architectures will be greatly influenced by AI where access is continually verified without any user being automatically considered as genuine including within the network[5].
Unending Identification Supported by AI: Rather than only verifying ones identity once, AI systems will progressively change their focus to continuous authentication which involves surveillance of an individual’s actions in a bid to identify unauthorized entries promptly[6].
CONCLUSION
Identity verification and access control are being transformed by AI that provide stronger, faster and larger options. There are more positive things resulting from AI systems than negative things even though issues like privacy concerns and algorithmic bias need urgent attention. As it advances, the importance of AI in ensuring the security of online identities as well as safe access to data and services will keep escalating.
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Cite As
Ali S.R. (2024) AI IN IDENTITY VERIFICATION AND ACCESS CONTROL, Insights2Techinfo, pp.1