About Course
Artificial Intelligence is transforming how security and compliance teams operate.
From anomaly detection and risk scoring to policy understanding and automated evidence workflows, AI now plays a central role in protecting cloud environments, governing identities, and enabling continuous compliance.
This course provides a clear, practical introduction to the essential AI techniques that power modern cybersecurity and GRC automation. You’ll learn how models learn, how data shapes AI performance, and how technologies like embeddings and NLP enable smarter analysis, document understanding, and risk prediction.
We also dive into responsible AI development, covering key risks such as drift, hallucinations, bias, data poisoning, and prompt injection, and explain how to evaluate and govern AI models using industry frameworks like ISO/IEC 42001, NIST AI RMF, and the EU AI Act.
Finally, we show how agentic AI is driving the next era of intelligent automation. You’ll see how Akitra Andromeda® uses machine learning, NLP, and autonomous agent capabilities to streamline compliance tasks, detect risks earlier, and keep organizations audit-ready at all times.
Outcome:
By the end of this course, you’ll understand how modern AI works, how it supports security and compliance operations, and how to apply these techniques safely, responsibly, and effectively in your organization.
What You’ll Learn
- Understand the core principles of AI: ML vs. DL vs. Generative AI
- Distinguish major AI model types: supervised, unsupervised, and reinforcement learning
- Prepare and structure data through cleaning, normalization, labeling, and feature extraction
- Understand vector embeddings and how AI interprets semantic meaning
- Detect anomalies using statistical and ML-based techniques
- Apply NLP for policy analysis, evidence extraction, document classification, and questionnaires
- Train and evaluate AI models using accuracy, recall, and F1 score
- Identify model weaknesses: overfitting, underfitting, drift, hallucinations, and bias
- Apply human-in-the-loop frameworks for safe, accountable AI
- Understand AI security risks: data poisoning, prompt injection, model exploitation
- Explore how Agentic AI reasons, plans, uses tools, and automates workflows
- See how Akitra Andromeda® applies AI for continuous compliance, vendor monitoring, identity risk detection, and audit readiness
Who This Course Is For
- Cybersecurity leaders (CISO, SOC Leads, Security Engineers)
- Compliance, GRC, and audit teams aiming to use automation
- AI/ML beginners who want practical exposure to security & compliance use-case
- Cloud, DevOps, and platform engineering teams using AI-powered tools
- Risk managers modernizing their ERM and compliance programs
- Consultants/MSPs providing AI-driven compliance and governance services
Frequently Asked Questions
Is this course relevant for SOC 2 / ISO 27001 / HIPAA / ISO 42001 frameworks?
Yes. You’ll learn how AI techniques directly support evidence mapping, risk scoring, continuous monitoring, and compliance automation
Does the course teach coding or model building?
No coding is required. The course focuses on understanding AI concepts and applying them in cybersecurity and compliance environments.
How long will it take to complete the course?
Most learners finish in 35–50 minutes, thanks to micro-learning, high-impact lessons.
Will I receive a certificate?
Yes. You’ll earn an Akitra Academy Certificate of Completion, perfect for LinkedIn or your professional profile.
Is certification included, and is the course free?
Yes. Upon completing the course, you’ll receive a free certification from Akitra Academy.
There is no cost to enroll and no hidden fees.
Course Content
Foundations of AI Techniques
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What Are AI Techniques? (Core Concepts)
04:29 -
Types of AI Models Used in Industry
05:28