International Journal For Multidisciplinary Research

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Ensuring Security and Compliance in Cloud-Based Diagnostic Tools: A Focus on Secret Management and Secure Architectures

Author(s) Varun Garg
Country United States
Abstract Conceptually, by offering real-time data on monitoring, troubleshooting, and application optimization, Cloud-based diagnostic solutions form the foundation of corporate systems. Many of these products are thus driven to keep rigorous standards for compliance since they handle sensitive data including user identity, encryption certificates, and API keys, thus very vulnerable to security issues. The complexity of cyberattacks and the global adoption of rules like GDPR and HIPAA support the need of great implementation of robust security systems.

On further investigation into the difficulties guaranteeing the implementation of cloud-based diagnostic tools as well as suitable answers to them. Centralized secret management solutions, such as Azure Key Vault, are especially known for their ability to automate credential processing, key rotation, and access control. The paper also dives deep into the exploration of multi-layered security solutions that emphasize encryption standards, network segmentation, and application-layer defenses. Constant monitoring and logging, enhanced by artificial intelligence-driven anomaly detection, are investigated here as the basic components that preserve security and compliance.

Analyzed alongside fresh concepts like zero-trust architectures and blockchain-based logging systems are current concerns including scalability in multi-cloud setups and the integration of current systems. These best practices and new technologies will help a company to guarantee the compliance, scalability, and robustness of diagnostic tools in a cloud environment growing more dynamic and regulated.
Keywords Azure Key Vault, Compliance, Cybersecurity, Encryption, Zero-Trust Architecture, Blockchain Logging, Multi-Layered Security, GDPR, AI-Driven Threat Detection, Secret Management.
Field Engineering
Published In Volume 1, Issue 1, July-August 2019
Published On 2019-07-18
DOI https://doi.org/10.36948/ijfmr.2019.v01i01.35938
Short DOI https://doi.org/g82wnf
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