Attackers have become quick, intelligent, and difficult to deal with manually. Companies produce large amounts of alerts from their endpoints, networks, applications, clouds, and security solutions, causing it to be difficult for analysts to distinguish real attacks.

The attacks within cybersecurity have become faster, smarter, and tougher to control through manual processes by security personnel. Companies create huge amounts of alerts through endpoints, networks, applications, clouds, and security devices. To identify a threat from thousands of alerts can be difficult for security analysts.

Incident response with the help of artificial intelligence aims at assisting with this problem in analyzing security events, prioritizing them and helping to respond quickly. Artificial intelligence does not substitute cybersecurity specialists, it is a force multiplier for them that enables security analysts to process information faster and respond to cases that need human involvement.

Incident Response with the Help of Artificial Intelligence

With the help of security platforms with artificial intelligence, a vast amount of security information can be analyzed in real-time to find connections between security events. For example, many failed login attempts, suspicious activity in accounts, PowerShell abuse, and suspicious data transfer may individually look harmless. AI can correlate these signals and identify them as potential stages of a coordinated attack.

AI-assisted incident response can help security teams with:

  • Alert prioritization: Ranking incidents based on severity, context, and potential business impact.
  • Threat correlation: Connecting events across users, devices, applications, networks, and cloud environments.
  • Anomaly detection: Identifying behavior that differs from established patterns.
  • Investigation support: Providing analysts with relevant context and evidence.
  • Incident summarization: Turning large volumes of technical information into concise incident reports.
  • Automated response: Triggering predefined actions when specific threats are identified.

Faster Detection and Investigation

Among the benefits of using AI for response is speed. The process of investigation involves manual analysis of logs, correlation of alerts, investigation of user activity, and collection of intelligence. This process can consume valuable time while attackers continue moving through an environment.

AI is capable of doing most of the preliminary analysis work for us. It is capable of collecting all pertinent data, correlating the security events, enriching the alerts with threat intelligence, and providing the analysts with a better understanding of the situation. This will enable the security teams to respond faster to the threat.

Decreasing Alert Fatigue

Alert fatigue continues to pose a big problem to many security operations teams. Every single day, there are thousands of alerts that get raised. However, very few of these alerts constitute any threat at all. Alerts that occur repeatedly or are unimportant can distract the analysts from the critical incidents.

AI is capable of decreasing the problem of alert fatigue through the process of correlation of the alerts.

AI and Automated Response

AI-assisted platforms can also work with security orchestration and automation tools to perform predefined response actions. Depending on organizational policies, these actions may include:

  • Isolating a compromised endpoint.
  • Blocking suspicious IP addresses or domains.
  • Disabling or challenging compromised accounts.
  • Enriching incidents with threat intelligence.
  • Initiating predefined investigation workflows.
  • Generating incident summaries for security teams.

Automation can reduce response times, particularly when organizations face attacks outside normal working hours.

The Necessity of Human Control

Although it has many advantages, AI cannot work without any proper supervision. Errors, missing information, and unpredictable actions can all cause improper decisions. Thus, security professionals should always be part of critical response operations.

Organizations must create policies for automated responses, review AI models regularly, and oversee their operation.

The Future of Incident Response

AI-aided incident response has become a significant skill for today’s security operations. The fusion of intelligent detection, context-based analysis, automation, and human expertise can help to deal with incidents faster and more efficiently.

It does not mean that the goal is to take humans away from cybersecurity; rather, to provide better data and additional time for them to come to conclusions. AI technologies, when used properly, can change the nature of incident response and turn it into a proactive security activity.