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Cognitive Security Information and Event Management

Crypttech CSIEM - Cognitive Security Information and Event Management

SIEM stands for Security Information and Event Management. It is a software solution that collects and analyzes security data from various sources, such as network devices, servers, and applications. SIEM is an essential component of any modern cybersecurity strategy, and is used by organizations of all sizes and industries.

CSIEM provides contextual and situational awareness developed on a purely cognitive architecture and designs a self-learning & developing SIEM. This product was developed entirely with Artificial Intelligence architectures and algorithms.

CSIEM uses rules-based or machine learning-based algorithms to perform event correlation, and can be customized to meet the specific needs of an organization.

CSIEM AI-based anomaly detection is a powerful tool for SIEM solutions, which can help organizations to detect and respond to security threats more quickly, accurately, and efficiently.

CSIEM solutions can incorporate threat intelligence feeds from various sources, such as CRYPTTECH CTI, commercial threat intelligence providers, open-source feeds, and internal sources.CSIEM can also use threat intelligence to perform predictive analysis, by identifying potential security threats before they occur and taking proactive measures to prevent them.

CSIEM can generate various types of compliance reports, such as audit reports, incident response reports, and compliance scorecards, which provide a detailed view of an organization’s security posture and compliance status. CSIEM can also automate compliance reporting, which reduces the time and effort required to prepare and submit compliance reports, and ensures that the reports are accurate and up-to-date.

CSIEM solutions can provide forensic data, such as network traffic logs, system logs, and application logs, which can be used to reconstruct the sequence of events leading up to a security incident.

  • Real-time threat detection and analysis
  • Event correlation
  • Anomaly detection
  • Threat intelligence with CTI
  • Machine Learning and Deep Learning Methods for faster and more accurate threat detection
  • Advanced graph data structures and AI algorithms runs on CRYPTTECH GRAPH
  • Fully AI-based UEBA Features
  • Centralized log management and retention
  • Automated incident response and remediation via SOAIR
  • Compliance reporting and auditing
  • Forensic analysis
  • Scalability and performance
  • Integration with other security tools
  • Easy of use