International Journal of Advances in Engineering & Scientific Research

International Journal of Advances in Engineering & Scientific Research

Print ISSN : 2349 –4824

Online ISSN : 2349 –3607

Frequency : Continuous

Current Issue : Volume 11 , Issue 2
2024


APIs are a must in the modern digital ecosystem, allowing for seamless communication between services and applications. However, they also represent prime targets for cyber attacks, such as injection attacks, credential abuse, and Distributed Denial of Service (DDoS) attacks. This paper explores API security from a holistic perspective, focusing on common vulnerabilities and best practices such as robust authentication, rate limiting, and data validation. Moreover, it underlines the extensive role of Artificial Intelligence in improving API security-auditing, real-time responding to threats, and being adaptive in defense. Traditional defenses can help to mitigate even some of the risks faced, but challenges persist, among which are scalability and capabilities for real-time detection of those evolving threats. AI can process vast quantities of data in real-time that allows for continuous monitoring of the API traffic and identification of abnormal patterns to indicate malicious activity. AI systems can automatically respond to such detected threats by dynamically updating security measures, for example rate limiting requests or blocking IP addresses suspected to be bad. This adaptability ensures the APIs remain secure against emerging vectors of attack. This not only addresses the complexities of protecting APIs at scale but also provides proactive defense mechanisms by predicting potential vulnerabilities. As cyber threats evolve, AI's role in API security becomes increasingly critical in safeguarding the integrity and availability of digital systems. This paper outlines how AI can be integrated into scalable, proactive, and adaptive security solutions to bolster API defenses against increasingly sophisticated attacks.

Keywords: API Security Artificial Intelligence Threat Detection Anomaly Analysis and Scalable Defense.