Compliance
Network metadata is analyzed by behavioral algorithms to detect threats in real time.
Nonstop attacker detection in all cloud/data center workloads and user/IoT devices.
Detect and prioritize cyberattacks and trigger real-time notifications to security teams.
Consistent reporting of threat detections, causes, business impacts, and steps to verify.
Automatically detects in-progress attacks and prioritizes the highest-risk threats in real time.
Tracks all physical and virtual hosts to reveal signs of compromised devices and insider threats.
Detects suspicious access to critical assets and policy violations related to data moved out of the network.
Nonstop analysis of internal network traffic, internet-bound traffic and workloads to identify system behavior baselines and unapproved activity.
Augment data handling standards by detecting unauthorized access of personal information.
Early detection of hidden cyberattacker behaviors that evade security defenses.
Meet the 72-hour notification timeframe using rich context about cyberattacks and a forensic trail of evidence.
Monitor nonstop all cloud/data center workloads and user/IoT devices for impact assessment.
Passively monitor and analyze all network traffic to identify authorized and unauthorized devices.
Real-time detection of suspicious use of admin credentials and data from key in-scope assets.
Early detection of ransomware, other malware variants and hidden attacker behaviors.
Detect cyberattackers in hidden DNS, HTTP and HTTPS tunnels and encrypted traffic.
Prioritize and correlate the highest-risk threats with compromised in-scope assets.
Early detection of ransomware, other malware variants and hidden attacker behaviors.
Real-time detection of suspicious use of admin credentials and data from key in-scope assets.
Nonstop detection of attack behaviors in all cloud/data center workloads and user/IoT devices.
Detect early signs of SQL injection attempts, even if the vulnerability or exploit is unknown.
Identify suspicious attempts by devices and user accounts to access cardholder data.
Real-time detection of compromised user credentials and sharing of access information.
Track device activity over time, even if the IP address changes and is used by multiple people.
XenexBlack integrates with existing solutions to follow response process and procedures.
Securely and automatically communicate and share incident response data.
Extract vital forensic data to reduce the time it takes to understand what occurred and what has been impacted.
Find abnormal, anomalous network behaviors and report on it in real time.
Baseline system behaviors by monitoring all cloud/data center workloads and user/IoT devices.
Detect the suspicious use of admin credentials and the abuse of administrative protocols.
Network metadata is analyzed by behavioral algorithms to detect threats in real time.
Detect and prioritize cyberattacks and trigger real-time notifications to security teams.