Integrating Log-Based Security Analytics in Agile Workflows: A Real-World Experience Report
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866911638332899328 |
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| author | Thool, Arpit Brown, Chris |
| author_facet | Thool, Arpit Brown, Chris |
| contents | Modern organizations increasingly rely on log data and monitoring signals to protect products against account takeovers and abuse, yet integrating security analytics into fast-moving Agile workflows remains challenging. While it is important to understand how security practices are developed and sustained within Agile, real-world case studies of such integrations remain scarce. This experience report provides insights on developer perceptions of an effort to integrate log-based fraud detection within an organization, known as the "Red Flag Project". A cross-functional team of eight members (including one author) iterated weekly to implement a proof-of-concept log-based system that alerts stakeholders when accounts exhibit suspicious activity patterns. Through semi-structured interviews, we investigate developer perceptions of log-based fraud detection integration-exploring their willingness to adopt the system, challenges encountered, and the overall impact on day-to-day development activities and security perceptions. Our findings highlight key lessons, mitigation techniques, and best practices for embedding security analytics into Agile workflows. We provide insights for practitioners and researchers seeking to incorporate security practices into modern development processes while maintaining both speed and resilience in software delivery. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_00352 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Integrating Log-Based Security Analytics in Agile Workflows: A Real-World Experience Report Thool, Arpit Brown, Chris Software Engineering Cryptography and Security Modern organizations increasingly rely on log data and monitoring signals to protect products against account takeovers and abuse, yet integrating security analytics into fast-moving Agile workflows remains challenging. While it is important to understand how security practices are developed and sustained within Agile, real-world case studies of such integrations remain scarce. This experience report provides insights on developer perceptions of an effort to integrate log-based fraud detection within an organization, known as the "Red Flag Project". A cross-functional team of eight members (including one author) iterated weekly to implement a proof-of-concept log-based system that alerts stakeholders when accounts exhibit suspicious activity patterns. Through semi-structured interviews, we investigate developer perceptions of log-based fraud detection integration-exploring their willingness to adopt the system, challenges encountered, and the overall impact on day-to-day development activities and security perceptions. Our findings highlight key lessons, mitigation techniques, and best practices for embedding security analytics into Agile workflows. We provide insights for practitioners and researchers seeking to incorporate security practices into modern development processes while maintaining both speed and resilience in software delivery. |
| title | Integrating Log-Based Security Analytics in Agile Workflows: A Real-World Experience Report |
| topic | Software Engineering Cryptography and Security |
| url | https://arxiv.org/abs/2605.00352 |