Uses self-learning AI to model normal behavior and detect anomalies without predefined rules.
Automatically takes action to neutralize threats, such as isolating infected devices or blocking malicious traffic.
Offers comprehensive visibility across on-premises, cloud, and hybrid networks.
Monitors and secures cloud environments like AWS, Azure, and Google Cloud.
Detects and responds to phishing, Business Email Compromise (BEC), and other email-based threats.
Secures endpoints with AI-powered threat detection and response capabilities.
Generates reports for regulatory compliance standards such as GDPR, HIPAA, and NIST.
Detects and blocks ransomware attacks in real-time by identifying unusual encryption activities and lateral movement.
Monitors user behavior to identify malicious insiders or compromised accounts based on deviations from normal patterns.
Uses AI to spot unknown threats by analyzing anomalies without relying on signature updates.
Secures cloud workloads and data by detecting misconfigurations and suspicious activities in cloud environments.
Ensures proper network segmentation by monitoring traffic flows and identifying unauthorized access attempts.
Protects against phishing and BEC attacks by analyzing email content and sender behavior for anomalies.
Monitors IoT devices on networks to detect and respond to potential compromises or abnormal activities.
Helps organizations meet regulatory requirements by providing detailed logs and reports on security incidents.
Automates response actions to contain threats quickly, reducing manual effort and response time.
Assists security teams in proactive threat hunting by highlighting suspicious patterns and providing investigation tools.
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