Cybersecurity Umbrella

1. Log Management

Strengthen your network security and compliance with log management solutions.
Gain valuable insights into network activities and detect security incidents with log analysis.
Ensure real-time identification of data breaches and attacks through advanced log correlation and forensics.
Meet IT regulatory mandates by securely archiving log data for a customizable period.
Enhance your organization's log management capabilities for improved security and compliance.

Understand security incidents - Security incidents are abnormal events in a network that can jeopardize sensitive data and lead to data breaches or attacks.
Efficient incident management - Incident management involves detecting and mitigating security incidents to minimize their impact on the organization.
Effective incident detection - Use techniques like log correlation, UEBA, and threat analytics to identify security threats occurring on the network.
Swift incident resolution - Resolve incidents and attacks promptly to restore the network to a functional state.
Utilize SIEM solutions - SIEM solutions offer automated workflows triggered by alerts, preventing the spread of attacks within the network.

Enhance your security measures with proactive threat intelligence to prevent attacks.
Combine evidence, contextual information, indicators, and action responses for comprehensive threat intelligence.
Identify concrete indicators of compromise (IOCs) through thorough threat intelligence analysis.
Stay informed about emerging threats, including their tactics, techniques, and procedures (TTPs).
Leverage artificial intelligence (AI) and machine learning (ML) in threat intelligence for advanced threat detection.
Take preemptive action by leveraging threat intelligence to prevent incidents before they occur.
Differentiate between regular and irregular network patterns using threat intelligence.

Utilize User and Entity Behavior Analytics (UEBA) in SIEM solutions for advanced threat detection.
UEBA employs machine learning (ML) or artificial intelligence (AI) to analyze user behavior and network access patterns.
Detect deviations from normal user behavior and promptly alert the security administrator.
UEBA leverages ML techniques and AI algorithms to learn threat patterns and identify similarities to previous anomalies.
Generate real-time alerts and enhance threat prevention with UEBA's automation capabilities.
Improve the reliability of threat prevention by leveraging UEBA's advanced detection and automation features.

Enhance cloud security by protecting data and infrastructure hosted on cloud platforms.
Recognize that cloud platforms are susceptible to security risks just like on-premises platforms.
Utilize SIEM solutions to safeguard cloud platforms and ensure data and infrastructure protection.
Detect network anomalies, abnormal user behaviors, and unauthorized access to critical resources in the cloud environment.
Strengthen cloud security measures with SIEM's advanced threat detection capabilities.
Proactively address security concerns on cloud platforms to prevent data breaches and unauthorized access.