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@article{197553,
        author = {Prathamesh Dhindore},
        title = {AUTOMATEDALERTSANDINVESTIGATION TOOL},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {5712-5718},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197553},
        abstract = {Cybersecurity threats such as brute-force attacks pose significant risks to modern systems by attempting unauthorized access through repeated authentication attempts. These attacks exploit weak credentials and lack of monitoring, potentially leading to data breaches, system compromise, and service disruption. Traditional monitoring systems often lack real-time detection and automated response capabilities, resulting in delayed mitigation and increased vulnerability [1]. Moreover, many existing solutions rely heavily on manual intervention, which reduces efficiency in high-volume attack scenarios. This research presents the Automated Alerts and Investigation Tool (AAIT), a real-time cybersecurity solution designed to detect, analyze, and respond to cyber-attacks efficiently. The system continuously monitors authentication logs and network activity, identifying suspicious patterns using a sliding window mechanism that tracks multiple failed logins attempts within a defined time frame. Once a predefined threshold is exceeded, the system triggers immediate alerts to notify administrators. In addition to detection, AAIT performs automated investigation by analyzing attack patterns, identifying source IP addresses, and assessing threat severity based on predefined risk parameters. It correlates multiple events to distinguish between false positives and actual attack behavior, thereby improving accuracy. The system also maintains detailed logs and reports, which can be used for forensic analysis and future threat intelligence. Furthermore, AAIT incorporates automated response mechanisms such as IP blacklisting, firewall rule enforcement, temporary account lockouts, and rate limiting to prevent further unauthorized access attempts [2]. These proactive measures significantly reduce response time and minimize potential damage caused by ongoing attacks.},
        keywords = {API, web application API Automation tool.},
        month = {April},
        }