Collect and analyze activity across users, devices, apps, networks, and data to rapidly detect and respond to threats by continually updating policies to drive trustworthy access.
This pillar provides visibility and analytics across all seven Zero Trust pillars and allows an organization to leverage behavioral analytics and automate actions to mature your defenses.
Organizations collect and process all logs including network, data, application, device, and user logs and make those logs available to the appropriate Computer Network Defense Service Provider (CNDSP) or security operations center (SOC). Logs and events follow a standardized format and rules/analytics are developed as needed
Computer Network Defense Service Provider (CNDSP) or security operations centers (SOC) monitor, detect, and analyze data logged into a security information and event management (SIEM) tool. User and device baselines are created using security controls and integrated with the SIEM. Alerting within the SIEM is matured over the phases to support more advanced data points (e.g., Cyber Threat Intel, Baselines, etc.)
Computer Network Defense Service Provider (CNDSP) or security operations centers (SOC) employ data tools across their enterprises for multiple data types to unify data collection and examine events, activities, and behaviors
Organizations initially employ analytics to profile and baseline activity of users and entities and to correlate user activities and behaviors and detect anomalies. Computer Network Defense Service Provider (CNDSP) or security operations centers (SOC) mature this capability through the employment of advanced analytics to profile and baseline activity of users and entities and to correlate user activities and behaviors, and detect anomalies
Computer Network Defense Service Provider (CNDSP) or security operations centers (SOC) integrate threat intelligence information and streams about identities, motivations, characteristics, and tactics, techniques and procedures (TTPs) with data collected in the SIEM
Organization ML & AI solutions dynamically and automatically update security profiles and device configuration through continuous security posture monitoring, risk and confidence scoring, and automated patch management.
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