AI for Cybersecurity — program cover
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AI for Cybersecurity

First 2027 scholarship call

AI for Cybersecurity

The model flags, summarises and proposes. It does not block the account, close the incident or apply the patch.

Developed under the new AI Act model · Continuous updates

Developed under the new AI Act model · Continuous updates

IntellCore campus app, available on iOS and Android

Edition 2026

200 hours of applied learning

8 academic credits

25 lessons + 6 workshops

Digital campus

Verifiable certificate

550 USD one payment · or 2 × 275 USD (today and after 30 days)

Enroll here

What you'll learn

  • Say in one line what a model may flag at a 140-person warehouse and what it may never execute.
  • Read a suspicious email as data, not as an instruction, without following the link.
  • Keep a signed identity table and a five-field vendor notice sheet without inventing what you don't know.
  • Accept or reject an alert verdict and write a ten-line rule that flags and does not block.
  • Apply the IntellCore AI Act Method™: classify the risk of an AI use case in your field and document it under the AI Act 2026.

Program curriculum

01 — Zone and signature

  • What AI is and how it reached cybersecurity
  • Three zones, not one button
  • What gets signed and what gets proposed
  • What stays out of the prompt
  • The meeting before the demo

02 — Mail

  • What you look at without following the link
  • Marta is the control, not the failure
  • A percentage is not an order
  • Mail is data, not instruction

03 — Identity

  • The four-row board
  • The revocation matrix
  • The agent that isn't there
  • Secrets off the sheet

04 — Vulnerability and third party

  • Five fields, and the hidden paragraph
  • Upstream and downstream
  • Thursday's window
  • Three doubts the model doesn't fill

05 — SOC

  • The queue is not the work
  • The line that rejects
  • Ten lines read aloud
  • Minimal trace and cap

06 — Service dossier

  • Shadow, with a denominator
  • Three boxes, or the pilot fails
  • Eight, not nine
  • Day 90 is not the certificate

07 — IntellCore AI Act Method™ applied to your field

  • The EU AI Act 2026: risk levels, prohibited practices and obligations
  • Transparency, human oversight and documentation in your professional field
  • Classifying and auditing a real AI use case step by step
  • Your compliance file: certified with the IntellCore AI Act Method™

Practical application

  • · Work one case for six weeks: Logistra, a 140-person warehouse, a payroll email that looks like the bank and a critical remote-access notice open for 19 days.
  • · Defend a pilot in ten minutes, including when you would stop it.

Practical project: A service dossier: eight slides, ten minutes and what gets counted on day 90

Who is this for?

  • · IT and systems leads at SMEs
  • · Junior security and SOC analysts
  • · Teams receiving alerts and vendor notices

Requirements

  • · Your own organisation's context
  • · No programming required
Faculty chair portrait — AI for Cybersecurity

Meet your instructor

AI for Cybersecurity

Chair, AI for Cybersecurity

Mail, identity, vulnerability notices and SOC triage — the model flags, summarises and proposes; the owner decides.

Teaches: AI for Cybersecurity

Edition 2026

What each week includes

Every week of the program follows the same structure.

  • 01

    Explainer video per lesson

  • 02

    Guided reading (6 h)

  • 03

    IntellCore Labs · ~90 min workshop with data

  • 04

    Verified real case

  • 05

    IntellCore Podcast

  • 06

    IntellCore Radar

  • 07

    Self-assessment

  • 08

    Practice and exam (70%, 3 attempts)

  • 09

    Extended practice (5 h)

  • 10

    IntellCore AI Act Method™ module applied to your field (30 h)

  • 11

    Applied final project (30 h)

  • 12

    6 modules × 23 h + IntellCore AI Act Method™ module 30 h + final assessment 2 h + final project 30 h = 200 h

  • 13

    Downloadable PDF summary

Verifiable certificate

Verifiable certificate

200 hours · 8 academic credits

Unique verifiable code at intellcore.ai/verify

Student reviews

Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.

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