Service offerings for Enabling AI driven Cyber Security for Security Intelligence, Operations and Analytics, Malware Detection and Vulnerability management Solutions-
Digital Risk Management
Identity and Access Management
Endpoint Detection and Response
Cloud Access Security Brokers
Spam Prevention and Phishing Blocking
Cyber Threat Analysis and Model Security Solutions for Enterprises
Security Analytics to understand and detect risk level of vulnerabilities. Artificial Intelligence, Machine Learning, and Deep Learning techniques to reduce human error. Identify security breaches and eliminate obstructions.
It involves Network Security, Cloud Security, IoT Security, Malware, and Autonomous Security. Operational Management and elimination of security issues, understand risks and threats to the internal system.
It includes analyzing advanced threatening behavior, evolving internal architecture to scan system deficiencies. Data and Application Security involves Security Analytics, Threat Prediction, Spam Detection, and Data Privacy.
Benefits of Enabling AI in Cyber Security
It involves removing unnecessary data, Feature Extraction and Selection, Data Cutoff, Parallel Processing, Machine Learning and Deep Learning Algorithms, Result Polling, and Optimised Notification.
It involves Alert Correlation, Signature-Based Anomaly Detection, Attack Detection Algorithm, and Multiple Detection Methods, Algorithm Selection.
It involves Dropped Netflow Detection, Dynamic Load Balancing, and MapReduce. Netflow Detection involving Netflow Sequence Monitoring, Netflow Collection, Netflow Storage and Data Analysis, generating warning messages.
It involves Source Data Transformation comprising User Activity, Application Activity, DataBase Activity, Network Activity, Distributed Data Storage, Public Key Infrastructure, and Encryption.
The pre-processed security event data forwarded to the Data Analysis module, which analyses the data for detecting Cyber attacks. The analysis results (i.e., alerts) are sent to the alert ranking component, ranking the signals based on a predefined criterion.
It involves Data Ingestion Monitoring, Maintenance of Multiple Copies, Dropped Netflow Detection, and Alert Ranking.
We are proud to announce that XenonStack is now a Kubernetes Certified Service Provider, Run by the Cloud Native Computing Foundation in collaboration with the Linux Foundation. We are also Silver Partner of the Linux Foundation and Cloud Native Computing Foundation.
21 April 2020
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