How Automating Incident Response Secures Your Security Posture

## Overview

Terry Sweeney (Contributing Editor, Black Hat) and Carl Classic (Director of Product Marketing for Security Operations, ServiceNow) discussed how automating incident response enables SOC teams to overcome chronic resource constraints and skill gaps. The presentation frames automation as a force multiplier addressing the industry's persistent shortage of qualified security analysts and the manual-process bottleneck (spreadsheets) that prevents real-time threat response. Key insight: automation doesn't replace analysts but enables them to focus on high-value work by eliminating low-value, repetitive tasks. Success through automation begets additional momentum—small initial wins create organizational confidence to scale capabilities further. The talk uses pandemic-era cyber threat surge (775% increase in Teams usage, 667% increase in pandemic-related phishing emails) as a case study demonstrating why event-driven automation is critical for handling rapid-onset attack campaigns.

## Capacity Building and Low-Hanging Fruit Automation Strategies

**Team Capacity vs. Threat Volume**: SOCs face stretched resources with analysts already overburdened. Traditional expansion via hiring new analysts proves slow and expensive. Automation enables existing teams to handle exponentially higher incident volumes by eliminating manual data-pulling workflows: instead of analysts stopping work to retrieve specific artifacts (logs, threat data, user history), automation pre-fetches this data and embeds it in playbooks, enabling rapid handoff to the next investigation step.

**Low-Hanging Fruit Prioritization**: Best-practice approach identifies repeating manual tasks teams perform daily—particularly investigation workflows requiring context-switching (pulling data from multiple systems, checking threat intelligence, searching databases). Automating these bottlenecks first creates quick wins. Success with initial automations builds team confidence and organizational appetite for deeper automation of more complex workflows, creating what Carl describes as "success begets more success."

**Visibility and Skills Development**: Automating investigation workflows generates metrics revealing team health: analyst efficiency rates, workload distribution, skill gaps (who is overloaded vs. underutilized). This visibility enables managers to identify analysts needing upskilling or rebalancing, cultivating expertise throughout the team. Rather than concentrating skills in "key persons," automation democratizes best practices via playbooks, raising baseline competency across the team.

## Real-Time Correlation and Event-Driven Response at Scale

**Root Cause Association and Incident Deduplication**: When attack campaigns strike rapidly (phishing surge, malware wave), analysts receive hundreds/thousands of individual alerts. Without automation, teams chase separate incidents independently. Automated correlation identifies that 500 separate incidents represent one attacker targeting 1000 employees via 500 different techniques or recipients, enabling teams to focus on the single threat actor rather than treating each alert as discrete. This dramatically increases efficiency and reduces mean time to identify (MTTI).

**Threat Intelligence Correlation**: Automation ingests threat feeds (IP reputation, domain blacklists, IOC databases, industry-specific threat warnings) in near-real-time, automatically comparing incoming alerts against known indicators. This prioritization determines whether an incident requires immediate escalation or can be queued for batch processing. Analysts are directed toward confirmed threats based on external threat intelligence validation rather than guessing priority based on alert noise.

**Scaling Response to Crisis Events**: During pandemic-driven attack surge (Microsoft Teams being exploited for delivery, weaponized COVID-related emails), automation enables SOCs to scale response without proportional staffing increase. By automating initial investigation and correlation, teams can process 5-10x the alert volume with the same headcount, adapting to crisis-scale attack campaigns.