implementing-security-monitoring-with-datadog

# Implementing Security Monitoring with Datadog ## When to Use - Deploying Cloud SIEM to detect real-time threats across cloud infrastructure (AWS, Azure, GCP) - Creating custom detection rules for attacker techniques, credential abuse, or anomalous behavior - Enabling Workload Protection (CSM Threats) to monitor file, process, and network activity on hosts and containers - Meeting compliance requirements (PCI-DSS, SOC 2, HIPAA) that mandate centralized log monitoring and alerting - Building security dashboards to provide SOC visibility into threat signals, investigation context, and response metrics **Do not use** for endpoint-only monitoring without cloud infrastructure; use a dedicated EDR solution for purely on-premises endpoint detection. ## Prerequisites - Datadog account with Security Monitoring (Cloud SIEM) and/or Cloud Security Management enabled - Datadog API Key and Application Key from Organization Settings > API Keys - Datadog Agent v7+ installed on hosts/containers that generate security-relevant logs - Log sources configured for ingestion: AWS CloudTrail, VPC Flow Logs, GuardDuty, Azure Activity Logs, GCP Audit Logs, or on-host logs (auth.log, syslog, Windows Security Events) - Python 3.9+ with `datadog-api-client` library for programmatic rule management - Network access from monitored hosts to Datadog intake endpoints (port 443) ## Workflow ### Step 1: Deploy and Configure the Datadog Agent for Security Install the Datadog Agent and enable security-re...