Hallo Peeps đź‘‹
I have already discussed about what is Agentic SOCs in a seperate video 👇
https://shorturl.at/cAwii
If you are already SOC Analyst or want to start Blue Teaming or SOC as your career, this is a treasure map for you..
Before going to roadmap, lets first understand, why you need to learn Agentic SOCs?
- Agentic SOCs are the next generation.
- AI will be used in SOCs whether we like it or not.
- Learning Agentic SOCs at early stage makes you more valuable.
Skip Phase-1, if you already have SOC knowledge.
You can also enroll to Techonquer’s SOC Analyst Course : https://courses.techonquer.org/courses/734214
Phase 1 : Blue Team and SOC Foundations
Before jumping directly to Agentic SOCs, your basic foundation must be cleared.
Step 1 : Learn Cybersecurity Basics
- Networking Basics
- CIA triad
- What is malware, phishing, brute force, privilege escalation etc.
Resources:
Cybersecurity: The Beginner’s Guide [https://shorturl.at/pePAL]
Tryhackme Pre-Security [https://tryhackme.com/path/outline/presecurity]
Step 2 : Understand SOC & Incident Response
- What a SOC does daily
- Incident Response lifecycle
- Alert → Investigation → Response flow
- SOC roles (Tier ½/3)
Resources:
TryHackMe “SOC Level 1” [https://tryhackme.com/path/outline/soclevel1]
MITRE ATT&CK overview [https://attack.mitre.org/]
Step 3: Learn Logs & SIEM Basics
- What logs are (Windows logs, firewall logs, proxy logs)
- What SIEM is and why it exists
- What are detection rules?
Practice:
Try Splunk Free
Elastic SIEM labs
Microsoft Sentinel training
Phase 2 : Detection & Response Skills
Step 4: Learn Detection Engineering
- What is Detection Engineering?
- Sigma rules
- MITRE ATT&CK mapping
Practice:
Research about simple rules for failed logins, malware events [https://shorturl.at/THgeA]
Step 5: Learn Incident Investigation
- How to investigate alerts
- How to correlate logs
- How to decide if something is malicious
Practice:
LetsDefend.io labs [https://letsdefend.io/]
Step 6: Learn Basic Automation
- What is SOAR
- What are playbooks
- Python basics
- APIs & JSON
Practice:
Start writing automation scripts.
Example - Write a script to enrich an IP with VirusTotal.
Phase 3 : AI & Agent Foundations
Step 7: Learn AI & LLM Basics
- What are LLMs
- Prompt engineering
- Risks and limitations
Resources:
Introduction to AI [https://shorturl.at/mDS6H]
Introduction to LLM [https://shorturl.at/dg8jy]
Step 8: Learn Agent Concepts
- What is an agent
- Tool usage by agents
- Multi-agent systems
- Guardrails
Tools:
LangChain
AutoGen
CrewAI
Phase 4 : Build Agentic SOC Skills
Step 9: Build Core SOC Agents
Build:
- Alert triage agent
- Investigation agent
- Threat intel agent
- Response suggestion agent
Use:
Python
LangChain
SIEM logs (sample datasets)
Step 10: Integrate with SOAR
- Webhooks
- Triggering workflows
- Human approval logic
Practice:
Use Tines or Shuffle to connect agent → response
Step 11: Add Safety & Governance
Learn about:
- Logging
- Explainability
- Human approval
- Audit trails
My suggestion is by learning itself, try to build projects in parallell.
Here are few Practical Project Ideas :
Build an alert triage agent [Beginner]
Build a multi-source investigation agent [Intermediate]
Build a full agentic incident response workflow [Advanced]
I am ending today’s blog with a small quote
“Great Agentic SOC engineers are security people first, AI people second.”
See you soon… Toodles
