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Merlin Cyber
Architected, designed & implemented the next generation CyberSecurity platform which tracks network data to analyze real time threats.
The System as developed:
- Performs real time analytics using Artificial Intelligence technologies on petabytes of network data to continuously predict the next cyber threat.
- Provides a persona based 360-degree view of the security aspects of the overall network.
- Delivers a Deep Learning based Analytical and Cognitive engine.
Technologies Used: Apache Spark, Kafka, MongoDB, Datastax Cassandra, Docker, Kubernetes, Calico, Prometheus, Grafana, Helm, IBM Cloud, React, Springboot Microservices, NGINX
- Developed from scratch a search engine for real time and domain specific text search to find out relevant information about the threats / vulnerabilities affecting an enterprise.
- Used Natural Language Processing (NLP)
– Topic modelling using LDA algorithm. - Leveraged Solr as the main search engine for indexing the data.
- Used Python Flask as the MicroServices framework.
- All code was containerized using Dockers and deployed on the Kubernetes platform.
Technologies Used: Solr, NLTK, Python Flask, IBM Private Cloud, Docker, Kubernetes
