Cybersecurity & AI

Master practical cybersecurity workflows with AI assistance. This intensive program takes learners from malware triage and dynamic analysis to AI-assisted penetration testing, secure software review, SOC investigations, and AI-driven governance, risk, and compliance reporting.

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Course Overview

What You'll Learn

AI-Assisted Malware Analysis

Analyze suspicious files, scripts, and binaries using VirusTotal and ANY.RUN.

AI-Assisted Penetration Testing

Use HackerGPT, Garak, and Promptfoo for controlled ethical hacking simulations.

AI-Assisted Application Security

Find, prioritize, and remediate software vulnerabilities with AI-driven tooling.

AI in SOC & GRC

Investigate incidents, build detections, and produce executive-ready risk summaries.

Course Duration

6 weeks

Laptop and stable internet required • Foundational IT/networking knowledge recommended • Limited cohort size

Course Investment

A hands-on professional program for SOC analysts, blue-team engineers, application security practitioners, red-team learners, and security-focused IT professionals.

Individual Learner

₦350,000

Best if you want practical AI-driven cybersecurity skills you can apply immediately.

Live labs, simulations, and capstone project
Structured IOC, alert triage, and reporting templates
Certificate of completion

Pay once • No hidden fees

Corporate / Teams

Ideal for organizations building AI-enabled SOC, AppSec, and GRC capability across teams.

Team onboarding & shared standards
Invoicing & receipts supported
Optional private sessions

Key Learning Outcomes

Analyze suspicious files across multi-engine malware intelligence platforms

Use AI to summarize unknown binaries, scripts, and attacker behavior quickly

Extract and document high-confidence indicators of compromise (IOCs)

Run interactive malware detonation and map parent/child process chains

Perform AI-assisted offensive security checks and prompt-injection assessments

Prioritize and remediate vulnerable code and dependencies using AI guidance

Correlate Suricata alerts with Zeek and Kibana telemetry for incident response

Design anomaly detection workflows and map controls to GRC frameworks

Course Modules

Week 1A: AI-Assisted Malware Analysis with VirusTotal - Code Insight, crowdsourced context, IOC extraction, and related sample hunting.

Week 1B: AI-Assisted Malware Analysis with ANY.RUN - interactive detonation, process tree analysis, network C2 tracing, and persistence artifacts.

Week 2A: AI-Assisted Penetration Testing with HackerGPT - natural language command generation, payload tuning, and ethical troubleshooting.

Week 2B: AI-Assisted Penetration Testing with Garak and Promptfoo - LLM red teaming, jailbreak testing, leakage checks, and safety scoring.

Week 3A: AI-Assisted Application Security with Snyk DeepCode AI - SCA/SAST, reachable vulnerability analysis, and AI-generated code fixes.

Week 3B: AI-Assisted Application Security with Arnica and Copilot - secret detection, developer risk insights, and secure code improvement.

Week 4: AI-Assisted SOC Operations - Security Onion, Suricata, Zeek, Kibana, and Elastic ML for anomaly-based investigations.

Week 5: AI-Assisted GRC with ServiceNow - incident triage, risk scoring, regulatory mapping, and executive reporting.

Week 6: Capstone Project and Presentation - end-to-end investigation, control mapping, and board-style communication.

Hands-On Activities

Use VirusTotal Code Insight to explain a complex PowerShell script in plain language

Extract at least three unique IOCs and validate malicious vs suspicious verdict differences

Run a live ANY.RUN sandbox and identify second-stage payload URL and persistence registry key

Generate, test, and troubleshoot ethical pentest commands with AI assistance

Run Garak and Promptfoo probes, then document top model safety failures and mitigations

Scan a vulnerable repository with Snyk and apply AI-assisted fixes that pass checks

Trace a critical SOC alert from dashboard through packet-level and log-level evidence

Create a concise executive incident summary with risk level and compliance mapping

Tools You’ll Use

VirusTotal

ANY.RUN

HackerGPT

Garak

Promptfoo

Snyk (DeepCode AI)

Arnica

GitHub Copilot

Security Onion

Kibana, Suricata & Zeek

Elastic ML

ServiceNow (Now Assist for SecOps)

“I moved from basic malware checks to full threat narratives with evidence in under six weeks.”

— Favour O.

“The AI + SOC workflow helped me explain technical incidents to leadership with confidence.”

— Michael T.