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A Security Information and Event Management (SIEM) system is a foundational tool in cybersecurity. It serves several key purposes, including:

Log Aggregation and Event Correlation: SIEM systems collect and aggregate logs from various sources within an organization’s IT environment, such as network devices, servers, databases, applications, and more. This allows for a centralized view of security-related activities across the enterprise.

Threat Detection and Response: By correlating and analyzing these events, a SIEM can help detect potential security incidents that might otherwise go unnoticed. When unusual or suspicious activity is detected, the SIEM can generate alerts for security teams to investigate further.

Compliance Reporting: Many industries have regulations that require organizations to maintain certain security controls and be able to demonstrate them to auditors. A SIEM can help with this by providing detailed reports on security incidents and responses, as well as evidence of continuous monitoring.

Forensics and Incident Investigation: In the event of a security incident, a SIEM can provide detailed information on the sequence of events leading up to the incident. This can be invaluable in understanding how the incident occurred, what was affected, and how similar incidents can be prevented in the future.

Automation and Orchestration: Advanced SIEMs can integrate with other security tools and automate responses to certain types of alerts, such as isolating a compromised system from the network. This can help to reduce response times and the workload on security personnel.

In short, a SIEM system is a critical component of a robust cybersecurity program, helping organizations to detect, respond to, and prevent security incidents, as well as comply with relevant regulations.

Threat Detection Ops

• • SIEM – Security Incident Event Management, aggregates log data, security alerts and events into a centralized platform to provide real-time analysis for security monitoring
  • MDR – Managed Detection and Response, cybersecurity service that combines technology and human expertise to perform threat hunting, monitoring and response.
  • XDR – Extended Detection Response, consolidation of tools and data to provide extended visibility, analysis, and response across endpoints, workloads, users, and networks. Wider view than MDR to include Cloud, email, security endpoints, etc.
  • Threat Intelligence – data collected, processed, and analyzed to understand threat motives, targets, and attack behaviors. Enables the ability to make faster, more informed, data-backed security decisions and change the behavior from reactive to proactive.

Attack Surface Management

• • Vulnerability Management – continuous pro-active and often automated process to keep systems safe from cyberattacks and data breaches. Identifying, evaluating, treating, and reporting on security vulnerabilities in systems and the software that runs them.
  • Cybersecurity Architecture – foundation of an organizations defense against cyber threats and ensures all components of its IT infrastructure are protected.
  • Risk Assessments – evaluates an organizations vulnerabilities and threats to identify any risks it faces
  • Attack Surface Analysis – aims to identify a systems vulnerability to attacks. Calculated by assessing the value of the data and the likelihood that it will attract attackers and thieves. Identify datastores and examine the security of applications that assess it.

Governance Risk + Compliance

• • Cyber metrics – governance metrics to help measure the efficiency and impact of data governance program and whether aligned within the organizations business strategy.
  • Reporting
  • CMMC, HIPAA/Trust, PCI – Compliance requirements that need to be met

Continuous Testing

• • Penetration Testing Programs – authorized simulated attacks performed on computer systems to evaluate its security
  • Social Engineering – identify thefts from human interaction, manipulation tricks users into making security mistakes or giving away sensitive information
  • Rule Package Testing – Continuous testing security rules and audits.

Cyber Security Response Team

• • Analyst Operations – investigate, analyze, and respond to cyber incidents
  • DFIR – Digital forensics incident response, focused on identifying , remediating and investigating cybersecurity incidents
  • SOAR – Security orchestration automation and response, is a stack or compatible software programs that enable an organization to collect data about security threats and respond to security events with little to no human assistance.
  • Incident Management – coordinate and align key resources and team members during a cybersecurity incident to minimize impacts and restore operations as quickly as possible.