The security operations maturity model assesses an organization’s current security capabilities to reduce its cyber risk and incident cost by lowering its time to detect and respond to threats, become more cyber resilient, and draw a plan to mature over time. Each level builds on the prior, adding additional technology
ORGANIZATIONS WITHOUT SKILLED SECURITY PERSONNEL SHOULD WORK WITH AN EXPERIENCED MANAGED SECURITY PROVIDER (MSP) THAT HAS MADE THE CAPITAL INVESTMENTS NECESSARY TO HELP THEM LEVEL UP WITH QUALIFIED STAFF.
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• Emphasis on prevention-oriented measures like firewalls and antivirus.
• Reactive defense approach without formal incident detection and response processes.
• Technology and functional silos hinder collaboration and visibility.
• Basic or undefined security policies.
• Vulnerable to unknown and sophisticated threats utilizing living-off-the-land attack techniques.
• Limited implementation of attack surface reduction practices.
• Compliance-driven log or event collection with minimal proactive monitoring.
• Absence of formal incident detection and response processes.
• Vulnerable to unknown and sophisticated threats due to lack of consistent detection mechanisms.
• Inadequate technology to identify suspicious activities consistently.
• Introduction of Endpoint Detection and Response (EDR) and Network Detection and Response (NDR) solutions, albeit in silos.
• Deployment of mature security policies with predefined configuration templates.
• Initial steps towards centralizing log data and security events, prioritizing critical assets.
• Lack of resources for effective alert evaluation and prioritization.
• Enhanced resilience against cyber threats but still vulnerable to sophisticated attacks targeting blind spots.
• Establishment of formal processes for continuous monitoring and containment of threats.
• Holistic centralization of log data and security events.
• Integration of IoC-based threat intelligence into analytics and workflows.
• Implementation of security analytics to detect known threat tactics, techniques, and procedures.
• Basic metrics for Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR).
• Comprehensive centralization of log data with extended retention for investigating advanced threats.
• Integration of cross-organizational case management, collaboration, and automation.
• Utilization of industry-specific threat intelligence to enhance security controls and workflows.
• Implementation of advanced security analytics leveraging AI/ML for anomaly detection, guided by SOC experts.
• Well-documented investigation and response processes with continuous improvement initiatives.
• Advanced operational metrics and historical trending for MTTD/MTTR analysis.
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