Initial Concept and Research (2020)
Conducted comprehensive market analysis to identify gaps in existing cloud security solutions.
Explored the potential of AI and machine learning to enhance threat detection capabilities.
Developed initial prototypes focusing on anomaly detection in cloud network traffic.
Prototype Development – Threat Detection & Monitoring (2021)
Built a machine learning-based system capable of analyzing vast amounts of cloud activity data.
Integrated real-time alerting mechanisms for suspicious behaviors.
Tested prototypes across various cloud platforms to ensure scalability and accuracy.
Results demonstrated significant improvements in early threat identification.
Customization & Resilience Enhancement (2023)
Introduced a customizable security dashboard allowing clients to tailor their security policies.
Developed incident response automation tools to reduce reaction times.
Enhanced compliance monitoring features aligned with industry standards such as GDPR, HIPAA, and PCI DSS.
Conducted pilot programs with select enterprise clients to refine features based on real-world feedback.
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