Anomaly Behavior Analysis

After a successful security breach, complex cyber-attacks can imitate normal behaviour while preparing the active stage of the attack. It is here, where the Anomaly Behavior Analysis helps, combining real-time threat detection, network visualisation and advanced investigation capabilities in a single unified system. Using proprietary machine learning and artificial intelligence algorithms, it works by passively analysing raw network traffic to form an evolving understanding of ‘normal’ for every user, device, and subnet in an organization. Without presuming to know in advance what activity is ‘malicious’ or not, it independently learns to detect significant deviations, and immediately alerts the organization to emerging threats.

Machine
intelligence
SIEM
Security Incident and Event Management or SIEM is a core of the machine intelligence.
SOAR
Different types of security incidents may require different response actions.
Cyber Threat Intelligence
Using Cyber Threat Intelligence, we can warn of potential threats before they happen.
Threat Data Feeds
Threat Data Feeds provide additional layers of security intelligence, specific for a certain industry or company.

EDR
Endpoint Detection and Response (EDR) component can be installed on each laptop or server to send its telemetry.
Anomaly Behavior Analysis
After a successful security breach, complex cyber-attacks can imitate normal behaviour while preparing the active stage of the attack.
Deception
Malware actors use dozens of tactics, techniques and procedures to cheat their victims.
Vulnerability Management
Proper security configuration is vital, whether you are driven by compliance regulations or just need to ensure your security solutions work at their maximum.
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