The Scale Problem in the SOC
The Security Operations Center (SOC) of an average organization processes tens of thousands of alerts per day. The human capacity to analyze each one is fundamentally limited. As a result, analysts triage alerts based on simplified rules, and real incidents get lost in the noise of false positives. Alert fatigue is one of the most common reasons for missing genuine threats.
What Is SOAR and How Does It Work
Security Orchestration, Automation and Response (SOAR) is a platform that connects security tools, automates repetitive tasks, and manages analyst workflows. When a threat detection system reports suspicious activity, SOAR automatically triggers a playbook — a sequence of actions appropriate for the given incident type.
A typical playbook for a suspicious login might look like this: gather context (login history, IP geolocation, known bad addresses), check whether the user is currently on leave or a business trip, perform an initial risk assessment, and then — depending on the result — automatically block the account or send a verification to the user.
The Role of AI in Response Automation
Traditional SOAR based on static rules has limited effectiveness against threats not anticipated when creating playbooks. AI extends these capabilities in several ways:
- Alert classification and prioritization — AI models learn from historical data which alerts led to actual incidents and prioritize the analyst queue accordingly.
- Threat contextualization — aggregating signals from multiple sources and automatically connecting seemingly unrelated events into a coherent attack narrative.
- Playbook adaptation — the AI system can suggest playbook modifications based on observed attack patterns before an analyst has time to update rules manually.
- Incident summary generation — automatic creation of reports for management and regulatory proceedings.
Designing Effective Playbooks
A playbook must balance automation with human control. Low-risk, high-confidence actions — blocking an obviously malicious IP address, isolating a compromised endpoint in a quarantine network — can be fully automated. Decisions about permanently blocking an account, notifying regulators, or external communications should always go through a human.
Effectiveness Metrics and MTTR
The key metric for incident response systems is MTTR (Mean Time to Respond). SOAR deployments with AI regularly reduce MTTR from several hours to tens of minutes for typical incident classes. Equally important is the false positive rate — automating responses to an alarm that turns out to be false can generate serious operational disruptions.
Integration with the Security Ecosystem
A SOAR platform's value grows exponentially with the number of integrations. ESKOM.AI multi-agent systems can act as an orchestration layer above existing security tools, automating information flow between detection platforms, identity management, ticketing systems, and internal communication tools.