Viettel Killchain & Anomaly (VCS – KIAN)
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Viettel Killchain & Anomaly (VCS - KIAN)
|Company (that provides the nominated product / solution / service)||Viettel Cyber Security Company|
|Company size (employees)||100 to 499|
|Type of solution||Software|
In 3 bullets, summarize why this product or service is different from the competition and deserves recognition:
- Cloud-native analytics platform delivering a streamlined experience and seamlessly integration
- AI-driven technology and powerful detection
- Lightweight, Flexible, Scalable
VCS-KIAN is the most innovative provider of behavioral analytics solution in South East Asia. In general, VCS-KIAN automatically links and analyzes user and entity activity to better inform security analysts about anomalies and threats in the system. VCS-KIAN provides a powerful analytics layer on top of existing SIEM, detecting new attacks, prioritizing incidents, and guiding a more effective investigation.
– Behavioral Baselining Across Multiple Data Sources
Our solution cut across organizational boundaries, IT systems and data sources and analyze all the data available for a specific user or entity. Some example data sources include: authentication systems like Active Directory, access systems like VPN and proxies, Firewall or Intrusion Detection and Prevention Systems (IDPS), Endpoint Detection and Response systems, Network Traffic Analytics. VCS-KIAN leverages sophisticated machine learning and behavior analytics to learn user and entity’s baseline or behavioral profile, and using that model to quickly identify abnormal behavior.
– Signature-free detection and Risk-based Incident Prioritization
VCS-KIAN uses advanced analytics engine to identify abnormal and risky activity without predefined correlation rules or IoC patterns. It provides meaningful alerts without requiring fine tuning, and with lower false positives. VCS-KIAN provides out-of-the-box 500+ use cases detection that help protecting organization against top three categories of common threats: advanced persistent threat, insider threats and compromised credential. These built-in contents also mapped to the MITRE ATT&CK framework to give security teams a common framework for detection and help them build stronger security processes.
VCS-KIAN continuously calculates and tracks risk score based on Bayesian machine learning approach, that eliminate manually review of large numbers of individual alerts. The system requires multiple signs of abnormal behavior to create an alert, reducing 50% of false positives and saving 60% operation time for SOC analysts.
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