Csp Intermediate

AI-Augmented Defensive Security / SOC

Triage, detection, hunting, and IR — all run through an AI copilot.

4.8
(New)· 10,000+ students

Created by eSecurityIN Certified Faculty

90 Hours Advanced 4 sections Updated 10 Aug 2026 English, Hindi Certificate
4.8

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AI-Augmented Defensive Security / SOC

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AI-Augmented Defensive Security / SOC

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This course includes

90 Hours of instructor-led training
On-Premises Hand-On Training
9:1 practical-to-theory ratio
Downloadable study material & recordings
Access on mobile and desktop
Full lifetime access to class recordings
Certificate of completion
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Description

This is a 3-month course for defenders who want to operationalize AI across the entire SOC workflow rather than treat it as a single bolt-on tool.

  • Covers AI-assisted alert triage and case management, correlation rule design and ATT&CK gap analysis for detection engineering, IOC- and behavior-driven endpoint hunting, and closes with AI-assisted IR timeline reconstruction.

  • Every module reflects how real modern SOC teams are starting to work today — using AI copilots to summarize context, accelerate rule-writing, and sift through large volumes of telemetry.

  • Natural next step after AI Security Foundations for learners specializing toward defense.

  • Prepares graduates specifically for detection engineer, SOC analyst, or incident response analyst roles seeking AI fluency as a differentiator.

Course Content

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Skills You'll Gain

What You'll Learn

Triage and manage SOC alerts with AI copilots summarizing context and next steps

Design correlation rules and close detection gaps using ATT&CK-mapped analysis

Hunt endpoints using both IOC-driven and behavior-driven techniques

Reconstruct incident timelines using AI-assisted forensic analysis

Operationalize AI across the entire SOC workflow, not as a single bolt-on tool

Sift through large volumes of telemetry efficiently using AI assistance

Lab Details

  • Alert Triage with an AI Copilot — Triage a queue of simulated SOC alerts, using an AI copilot to summarize context and recommend next steps.

  • Correlation Rule Build — Write and tune a SIEM rule to catch a specific attack pattern.

  • IOC-Driven Hunt — Hunt across sample endpoint telemetry for a known set of indicators of compromise.

  • Behavior-Driven Hunt Hypothesis — Formulate and test a behavioral hunting hypothesis against XDR-style telemetry.

  • Case Documentation Practice — Write a full SOC case file for a resolved incident in real analyst reporting format.

Why Us

Why Choose eSecurityIN?

Covers the entire SOC-to-IR workflow through an AI lens, not just one isolated module

AI-assisted timeline reconstruction is genuinely hands-on, not a slide-deck concept

The detection-engineering module ties directly into ATT&CK, keeping content audit-ready

Direct progression from AI Security Foundations for a clean defensive specialization path

Prepares graduates for detection engineer, SOC analyst, or IR analyst roles specifically seeking AI fluency

Industry recognized certificate issued on course completion

Requirements

A few things to have ready before you begin — nothing complicated.

Basic familiarity with Advanced level concepts is recommended
A laptop/desktop with a stable internet connection
Willingness to practice hands-on labs outside class hours
On-Premises Hand-On Training — check batch schedule for online/on-premises availability

Who This Course Is For

Built for a range of learners and professionals ready to break into or level up in cybersecurity.

Final-year students & recent graduates
Working IT professionals upskilling into security

Instructor

eS

eSecurityIN Certified Faculty

Verified

Cybersecurity Trainers & Industry Practitioners

4.8

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10k+

Students

Multiple

Courses

Our certified cybersecurity faculty bring real-world industry experience across penetration testing, network security, and compliance — dedicated to hands-on, practical training that gets you job-ready.

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