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Introduction
The cybersecurity landscape is constantly evolving, with technologies like SOAR (Security Orchestration, Automation, and Response) being replaced by new buzzwords such as CIRM (Cybersecurity Incident Response Management) and AI SOC (Artificial Intelligence Security Operations Center). This shift reflects the industry’s ongoing struggle to balance automation, human workflows, and emerging AI capabilities.
Learning Objectives
- Understand why SOAR is being phased out in favor of newer frameworks.
- Explore the role of AI in modern SOC operations.
- Learn practical automation techniques for incident response.
You Should Know
1. SOAR vs. CIRM: What’s the Difference?
Command:
Example SOAR playbook (Python snippet using Cortex XSOAR API)
def enrich_incident(incident_id):
response = demisto.executeCommand("getIncident", {"id": incident_id})
return response
Step-by-Step Guide:
SOAR platforms automate security workflows by integrating with SIEMs, threat intelligence, and ticketing systems. CIRM, however, focuses on human-centric incident management, emphasizing collaboration and case tracking rather than automation.
- AI SOC: Automating Triage with Machine Learning
Command:
Example AI-driven alert summarization (using OpenAI API)
import openai
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[{"role": "user", "content": "Summarize this security alert: [bash]"}])
Step-by-Step Guide:
AI SOC agents leverage natural language processing (NLP) to summarize alerts, recommend actions, and reduce analyst fatigue. Integrate AI models into SIEMs for real-time decision support.
3. Hardening Cloud Workloads for NIS2 Compliance
Command:
AWS CLI command to enforce encryption on S3 buckets
aws s3api put-bucket-encryption --bucket [bash] --server-side-encryption-configuration '{"Rules": [{"ApplyServerSideEncryptionByDefault": {"SSEAlgorithm": "AES256"}}]}'
Step-by-Step Guide:
NIS2 regulations mandate strict incident reporting timelines. Use infrastructure-as-code (IaC) tools like Terraform to enforce encryption, logging, and access controls.
4. Incident Response with PICER-F Framework
Command:
Windows command to isolate a compromised host
Invoke-Command -ComputerName [bash] -ScriptBlock {Stop-Process -Name "malicious_process" -Force}
Step-by-Step Guide:
PICER-F (Preparation, Identification, Containment, Eradication, Recovery, Follow-up) aligns with NIS2 requirements. Automate containment steps using PowerShell or SOAR playbooks.
5. Building a Self-Healing Immune System (IRIS)
Command:
Example knowledge graph query for threat correlation (using Neo4j) MATCH (t:Threat)-[r:DETECTED_IN]->(i:Incident) WHERE t.severity > 7 RETURN t, i
Step-by-Step Guide:
IRIS (Incident Resilient Immune System) uses AI and decision modeling (DMN) to autonomously detect, analyze, and remediate threats.
What Undercode Say
- Key Takeaway 1: The shift from SOAR to CIRM and AI SOC is largely rebranding, but AI-driven automation is a genuine advancement.
- Key Takeaway 2: Compliance frameworks like NIS2 are pushing organizations toward structured incident response, but over-reliance on buzzwords risks obscuring real innovation.
Analysis:
The cybersecurity industry’s “hype cycle” often prioritizes marketing over substance. While AI SOC agents offer tangible benefits—such as reducing alert fatigue—vendors must avoid repeating SOAR’s mistakes by ensuring solutions are scalable and user-friendly. The future lies in blending AI automation with human expertise, not replacing one with the other.
Prediction
By 2026, AI-driven SOC platforms will dominate, but fragmentation will persist as vendors repurpose old technologies under new labels. Organizations that focus on interoperability—integrating AI, automation, and human workflows—will outperform those chasing acronyms.
IT/Security Reporter URL:
Reported By: Filipstojkovski Just – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
