Articles Open Access
Autonomous Enterprise API Intelligence using Generative AI for Adaptive Integration and Operational Resilience
Software Engineer, NearForm, Ireland
Abstract
The increasing complexity of enterprise information systems, cloud-native applications, microservices, and hybrid computing environments has elevated Application Programming Interfaces (APIs) as essential components for enabling seamless communication and business process integration. However, conventional API management approaches rely heavily on static configurations, manual governance, and reactive monitoring, limiting their ability to adapt to dynamic operational conditions and evolving cybersecurity threats. This research proposes an Autonomous Enterprise API Intelligence framework that leverages Generative Artificial Intelligence (GenAI) to achieve adaptive integration, intelligent API orchestration, and enhanced operational resilience. The proposed framework combines Generative AI, machine learning, event-driven architecture, and automated decision-making to continuously analyze API interactions, generate optimization strategies, detect anomalies, recommend corrective actions, and automate service orchestration. Generative AI enhances enterprise integration by producing intelligent workflow configurations, adaptive API documentation, predictive troubleshooting recommendations, and context-aware service compositions. The framework also incorporates security mechanisms such as authentication, authorization, encryption, anomaly detection, and continuous compliance monitoring to ensure secure API communication across distributed enterprise environments. A conceptual research methodology supported by extensive literature analysis is adopted to develop and evaluate the framework. The proposed architecture demonstrates significant potential to improve API reliability, scalability, interoperability, fault tolerance, operational efficiency, and business continuity while reducing manual intervention. The study contributes to the advancement of intelligent enterprise integration by presenting a scalable and adaptive API management framework capable of supporting next-generation digital transformation initiatives
Keywords
DOI
PDF Download
Publication Information
| Journal | International Research Journal of Innovative Engineering |
|---|---|
| Volume | 7 |
| Number | 6 |
| Pages | 13582-13594 |
| Published | 2023-12-20 |
| Issue | Vol. 7 No. 6 (2023): International Research Journal of Innovative Engineering (IRJIE) |
References
1. Soundappan, S. J. (2022). Integrated Risk Governance Framework for Financial Compliance Supply Chain Resilience and Enterprise Data Management. International Journal of Computer Technology and Electronics Communication, 5(6), 16254-16263.
2. Rao, G. R. (2023). Index lifecycle and shard allocation optimization in large-scale Elasticsearch clusters: A performance–cost trade-off analysis. International Journal of Engineering & Extended Technologies Research (IJEETR), 5(4), 6903–6907.
3. Alex Roney Mathew. (2019). Malware analysis of API calls using FPGA hardware level security. International Journal for Research in Applied Science & Engineering Technology, 7(3), 898–900.
4. Gandikota, S. P. (2023). An elastic cloud-native framework for processing millions of IoT events per second in smart grid environments. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8049–8063. https://doi.org/10.15662/IJRPETM.2023.0601006
5. Kanji, R. K. (2020). Federated Learning in Big Data Analytics Privacy and Decentralized Model Training. Journal of Scientific and Engineering Research, 7(3), 343-352.
6. Tasleem, N. (2021). The impact of human-centered design on adoption of HR technology (IJSRA). International Journal of Science and Research Archive.
7. Raj, A. A., & Sugumar, R. (2023, June). Early Detection of COVID-19 with Impact on Cardiovascular Complications using CNN Utilising Pre-Processed Chest X-Ray Images. In 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC) (pp. 1-6). IEEE.
8. Veershetty, G. (2019). From Legacy Back Office to Intelligent Utility Enterprise a Practitioner Case Study of SAP Cloud Transformation and Utility IT Landscape Modernization. American International Journal of Computer Science and Technology, 1(1), 23-27.
9. Syed, S. (2023). A GxP-compliant integrated ERP framework for synchronizing OPM, SCM, and quality lab systems in pharmaceutical manufacturing. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8064–8076. https://doi.org/10.15662/IJRPETM.2023.0601007
10. Juvvadi, R. R. (2018). Robotic process automation (RPA) in accounting: Measuring ROI and workforce displacement. International Journal of Research and Applied Innovations (IJRAI), 1(1), 17–21.
11. Polamreddy, V. R. (2022). Architecting Hybrid Synchronization Models to Enable Safe International Platform Transitions. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 5(1), 6216-6229.
12. Rohit Wadhwa. (2023). Optimizing Enterprise Application Performance Through Event-Driven Microservices and Distributed Database Design. ISCSITR-International Journal of Scientific Research in Information Technology (ISCSITR-IJSRIT), 4(1), 42–62.
13. Konakalla, K. (2020). Automated commission calculation and sales quota management in Salesforce: A code-driven approach for sales efficiency. International Journal, 7, 125-127.
14. Samiuddin Mohammed (2022). AI-driven IT operations and AIOps enablement across hybrid cloud platforms. International Journal of Innovative Research in Science, Engineering and Technology, 11(3), 2826–2836. https://doi.org/10.15680/IJIRSET.2022.1103134
15. Navandar, P. (2023). Privacy preserving federated learning for distributed intrusion detection: Differential privacy guarantees, non-IID convergence, and Byzantine robustness. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(4), 9055–9062. https://doi.org/10.15662/IJRPETM.2023.0604011
16. Chaba, A. (2020). A Reusable Enterprise Commerce Deployment Framework for Accelerated Digital Transformation. International Journal of Research and Applied Innovations, 3(2), 3068-3082.
17. Gummadi, V. P. K. (2020). API design and implementation: RAML and OpenAPI specification. Journal of Electrical Systems, 16(4).
18. Parasa, M. (2022). Addressing the underutilization of exit interview data: A structured AI-assisted framework for actionable workforce insights in SAP SuccessFactors. Global Scientific and Academic Research Journal of Multidisciplinary Studies, 1(6), 42–52. https://gsarpublishers.com/abstract-2326/
19. Govindan, V. (2023). AI-powered optimization of non-production environments: Turning constraints into business value. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8089–8104. https://doi.org/10.15662/IJRPETM.2023.0601009
20. Rajan, P. K. (2023). Predictive Caching in Mobile Streaming Applications using Machine Learning Models. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(3), 8737-8745.
21. Jayaraman, S., Rajendran, S., & P, S. P. (2019). Fuzzy c-means clustering and elliptic curve cryptography using privacy preserving in cloud. International Journal of Business Intelligence and Data Mining, 15(3), 273-287.
22. Prasanna Kumar Natta. (2022). Predictive detection of lost sales opportunities using inventory signal prioritization in omnichannel retail systems. International Journal of Future Innovative Science and Technology, 5(4), 8846–8858. https://doi.org/10.15662/IJFIST.2022.0504003
23. Kotla, Mutha Ravi Tej (2021). Machine learning-based predictive observability for enterprise integration platforms. Journal of Computer Engineering and Technology, 4(3), 1–24. https://doi.org/10.34218/JCET_04_03_001
24. Raja, G. V. (2022). Integrating network forensics with data mining for advanced cybercrime investigation. International Journal of Engineering & Extended Technologies Research (IJEETR), 4(5), 5321-5326.
25. Chettiyar, S. S. S. (2023). A vendor-neutral omnichannel conversational payment architecture for conversational commerce integrating BYOP, native solutions, and PCI compliance. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8124–8135. https://doi.org/10.15662/IJRPETM.2023.0601012
26. Chenna, S. (2023). Solution-led integration architecture in Oracle EBS: A dual case study from foundational enterprise engagements. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8105–8113. https://doi.org/10.15662/IJRPETM.2023.0601010
27. Mannem, S. (2023). Intelligent service behavior analysis for early cyber threat prediction. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8077–8088. https://doi.org/10.15662/IJRPETM.2023.0601008
28. Gopisetty, S. (2022). " Hey Jenkins, build my banking app": An LLM-Powered Assistant That Turns Plain English into Compliant CI/CD Pipelines for Non-Expert Developers. European Journal of Advances in Engineering and Technology, 9(11), 178-197.
29. Chaganti, S. (2023, September). The "Momentum" pipeline: A real-time behavioural intelligence architecture for hyper-personalization and 2.5× conversion uplift in digital commerce. Journal of Information Systems Engineering and Management, 8(3), 1–12.
30. Sarngadharan, S. (2023). Federated data pipelines enabling continuous contract and asset state traceability. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8114–8123. https://doi.org/10.15662/IJRPETM.2023.0601011
31. Alex Mathew. (2023). Threat defense through cyber fusion. International Journal of Computer Science and Mobile Computing, 12(1), 24–27. https://doi.org/10.47760/ijcsmc.2022.v12i01.003
32. Devineni, A. (2022). Proactive incident detection in multi-tenant financial cloud platforms. International Journal of Science, Research and Technology (IJSRAT), 5(4), 8136–8139.
33. Appani, C. (2022). Graph Neural Networks for Dynamic Malware Behaviour Analysis and Classification in Advanced Persistent Threats (APT). International Journal of Communication Networks and Information Security.
34. Vayyasi, N. K. (2019). Reimagining financial compliance automation: Using Java microservices and generative AI on AWS Bedrock for regulatory intelligence. International Journal of Future Innovative Science and Technology (IJFIST), 2(3), 1992–1210.
35. Alex Roney Mathew. (2019). Malware analysis of API calls using FPGA hardware level security. International Journal for Research in Applied Science & Engineering Technology, 7(3), 898–900.
2. Rao, G. R. (2023). Index lifecycle and shard allocation optimization in large-scale Elasticsearch clusters: A performance–cost trade-off analysis. International Journal of Engineering & Extended Technologies Research (IJEETR), 5(4), 6903–6907.
3. Alex Roney Mathew. (2019). Malware analysis of API calls using FPGA hardware level security. International Journal for Research in Applied Science & Engineering Technology, 7(3), 898–900.
4. Gandikota, S. P. (2023). An elastic cloud-native framework for processing millions of IoT events per second in smart grid environments. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8049–8063. https://doi.org/10.15662/IJRPETM.2023.0601006
5. Kanji, R. K. (2020). Federated Learning in Big Data Analytics Privacy and Decentralized Model Training. Journal of Scientific and Engineering Research, 7(3), 343-352.
6. Tasleem, N. (2021). The impact of human-centered design on adoption of HR technology (IJSRA). International Journal of Science and Research Archive.
7. Raj, A. A., & Sugumar, R. (2023, June). Early Detection of COVID-19 with Impact on Cardiovascular Complications using CNN Utilising Pre-Processed Chest X-Ray Images. In 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC) (pp. 1-6). IEEE.
8. Veershetty, G. (2019). From Legacy Back Office to Intelligent Utility Enterprise a Practitioner Case Study of SAP Cloud Transformation and Utility IT Landscape Modernization. American International Journal of Computer Science and Technology, 1(1), 23-27.
9. Syed, S. (2023). A GxP-compliant integrated ERP framework for synchronizing OPM, SCM, and quality lab systems in pharmaceutical manufacturing. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8064–8076. https://doi.org/10.15662/IJRPETM.2023.0601007
10. Juvvadi, R. R. (2018). Robotic process automation (RPA) in accounting: Measuring ROI and workforce displacement. International Journal of Research and Applied Innovations (IJRAI), 1(1), 17–21.
11. Polamreddy, V. R. (2022). Architecting Hybrid Synchronization Models to Enable Safe International Platform Transitions. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 5(1), 6216-6229.
12. Rohit Wadhwa. (2023). Optimizing Enterprise Application Performance Through Event-Driven Microservices and Distributed Database Design. ISCSITR-International Journal of Scientific Research in Information Technology (ISCSITR-IJSRIT), 4(1), 42–62.
13. Konakalla, K. (2020). Automated commission calculation and sales quota management in Salesforce: A code-driven approach for sales efficiency. International Journal, 7, 125-127.
14. Samiuddin Mohammed (2022). AI-driven IT operations and AIOps enablement across hybrid cloud platforms. International Journal of Innovative Research in Science, Engineering and Technology, 11(3), 2826–2836. https://doi.org/10.15680/IJIRSET.2022.1103134
15. Navandar, P. (2023). Privacy preserving federated learning for distributed intrusion detection: Differential privacy guarantees, non-IID convergence, and Byzantine robustness. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(4), 9055–9062. https://doi.org/10.15662/IJRPETM.2023.0604011
16. Chaba, A. (2020). A Reusable Enterprise Commerce Deployment Framework for Accelerated Digital Transformation. International Journal of Research and Applied Innovations, 3(2), 3068-3082.
17. Gummadi, V. P. K. (2020). API design and implementation: RAML and OpenAPI specification. Journal of Electrical Systems, 16(4).
18. Parasa, M. (2022). Addressing the underutilization of exit interview data: A structured AI-assisted framework for actionable workforce insights in SAP SuccessFactors. Global Scientific and Academic Research Journal of Multidisciplinary Studies, 1(6), 42–52. https://gsarpublishers.com/abstract-2326/
19. Govindan, V. (2023). AI-powered optimization of non-production environments: Turning constraints into business value. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8089–8104. https://doi.org/10.15662/IJRPETM.2023.0601009
20. Rajan, P. K. (2023). Predictive Caching in Mobile Streaming Applications using Machine Learning Models. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(3), 8737-8745.
21. Jayaraman, S., Rajendran, S., & P, S. P. (2019). Fuzzy c-means clustering and elliptic curve cryptography using privacy preserving in cloud. International Journal of Business Intelligence and Data Mining, 15(3), 273-287.
22. Prasanna Kumar Natta. (2022). Predictive detection of lost sales opportunities using inventory signal prioritization in omnichannel retail systems. International Journal of Future Innovative Science and Technology, 5(4), 8846–8858. https://doi.org/10.15662/IJFIST.2022.0504003
23. Kotla, Mutha Ravi Tej (2021). Machine learning-based predictive observability for enterprise integration platforms. Journal of Computer Engineering and Technology, 4(3), 1–24. https://doi.org/10.34218/JCET_04_03_001
24. Raja, G. V. (2022). Integrating network forensics with data mining for advanced cybercrime investigation. International Journal of Engineering & Extended Technologies Research (IJEETR), 4(5), 5321-5326.
25. Chettiyar, S. S. S. (2023). A vendor-neutral omnichannel conversational payment architecture for conversational commerce integrating BYOP, native solutions, and PCI compliance. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8124–8135. https://doi.org/10.15662/IJRPETM.2023.0601012
26. Chenna, S. (2023). Solution-led integration architecture in Oracle EBS: A dual case study from foundational enterprise engagements. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8105–8113. https://doi.org/10.15662/IJRPETM.2023.0601010
27. Mannem, S. (2023). Intelligent service behavior analysis for early cyber threat prediction. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8077–8088. https://doi.org/10.15662/IJRPETM.2023.0601008
28. Gopisetty, S. (2022). " Hey Jenkins, build my banking app": An LLM-Powered Assistant That Turns Plain English into Compliant CI/CD Pipelines for Non-Expert Developers. European Journal of Advances in Engineering and Technology, 9(11), 178-197.
29. Chaganti, S. (2023, September). The "Momentum" pipeline: A real-time behavioural intelligence architecture for hyper-personalization and 2.5× conversion uplift in digital commerce. Journal of Information Systems Engineering and Management, 8(3), 1–12.
30. Sarngadharan, S. (2023). Federated data pipelines enabling continuous contract and asset state traceability. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 6(1), 8114–8123. https://doi.org/10.15662/IJRPETM.2023.0601011
31. Alex Mathew. (2023). Threat defense through cyber fusion. International Journal of Computer Science and Mobile Computing, 12(1), 24–27. https://doi.org/10.47760/ijcsmc.2022.v12i01.003
32. Devineni, A. (2022). Proactive incident detection in multi-tenant financial cloud platforms. International Journal of Science, Research and Technology (IJSRAT), 5(4), 8136–8139.
33. Appani, C. (2022). Graph Neural Networks for Dynamic Malware Behaviour Analysis and Classification in Advanced Persistent Threats (APT). International Journal of Communication Networks and Information Security.
34. Vayyasi, N. K. (2019). Reimagining financial compliance automation: Using Java microservices and generative AI on AWS Bedrock for regulatory intelligence. International Journal of Future Innovative Science and Technology (IJFIST), 2(3), 1992–1210.
35. Alex Roney Mathew. (2019). Malware analysis of API calls using FPGA hardware level security. International Journal for Research in Applied Science & Engineering Technology, 7(3), 898–900.
Statistics
104
Views
93
Downloads