TTAI2141: AI Security Essentials for Non-Technical Professionals
About this Course
Artificial intelligence is transforming business operations across every industry, but with
this transformation comes new security risks that traditional cybersecurity approaches
cannot fully address. AI Security Essentials for Non-Technical
Professionals provides the foundational knowledge needed to understand AI security
threats, recognize risks in your organization, and contribute to effective AI security
strategies. This course is designed for professionals who interact with AI systems,
manage AI projects, evaluate AI vendors, or need to understand AI security implications
for their role.
Throughout this intensive day, you will develop a clear understanding of how AI systems
work from a security perspective, learn to identify common AI-related threats and
vulnerabilities, and understand the human factors that make AI security challenging.
You will explore practical scenarios including deepfakes, AI-powered fraud, workplace
AI tool usage, and vendor risk assessment. The course emphasizes real-world
applications and provides immediately actionable knowledge that participants can apply
in their daily work.
With a focus on practical understanding rather than technical implementation, this
course provides case studies, demonstrations, and interactive discussions that help
participants recognize AI security issues, ask the right questions when evaluating AI
solutions, and contribute meaningfully to their organization’s AI security
initiatives. Whether you are evaluating AI vendors, managing AI projects, or simply need
to understand how AI impacts your organization’s security posture, you
will leave with the knowledge to make informed decisions and recognize potential
security issues.
Objectives
By the end of this course, you will be able to:
Understand AI fundamentals from a security perspective. Recognize what AI
systems are, how they work at a basic level, and why they create unique security
challenges that differ from traditional IT systems.
Identify common AI security threats and their business impact. Recognize data
poisoning, model manipulation, deepfakes, AI-powered fraud, and other threats that
could affect your organization.
Evaluate AI-related risks in workplace tools and vendor solutions. Ask appropriate
security questions when selecting AI tools, understand contract provisions, and assess
potential risks from AI implementations.
Recognize and respond to AI-powered social engineering and
fraud. Identify deepfakes, AI-generated content, and
sophisticated scams that leverage AI technology to target individuals and organizations.
Contribute to AI security policy and incident response. Understand your role in AI
security, know when and how to report AI-related security concerns, and participate in
creating organizational AI usage policies.
Stay informed about emerging AI security trends. Develop the foundation to
understand new AI security threats as they emerge and evaluate their potential impact
on your organization.
If your team requires different topics, additional skills or a custom approach, our team
will collaborate with you to adjust the course to focus on your specific
learning objectives and goals.
Audience Profile
This beginner-level course is designed for non-technical professionals who need to
understand AI security implications in their work. IT professionals, quality assurance
teams, project managers, business analysts, security coordinators, and administrative
professionals who interact with AI systems or influence AI adoption decisions will gain
essential knowledge to contribute to their organization’s AI security posture.
Entry-level professionals entering IT or software engineering roles, managers
overseeing AI projects, procurement professionals evaluating AI vendors, and
compliance officers ensuring AI security adherence will also benefit from this
foundational understanding. Whether you are directly working with AI systems,
managing AI initiatives, or need to understand AI security risks in your organization, this
course provides the essential knowledge without requiring technical programming or
cybersecurity expertise.
At Course Completion
Outline
Topic 1: AI Basics - What You Need to Know to Stay Secure
Understanding artificial intelligence fundamentals from a security and business
perspective, establishing the foundation for recognizing AI-related risks.
What is AI vs Machine Learning vs Deep Learning (explained in business terms)
How AI systems actually work: training data → statistical models →
predictions
Critical Reality Check: AI systems are sophisticated pattern-matching and statistical
prediction tools, not thinking entities
Why AI appears “smart†and conversational but is fundamentally making
educated guesses based on training patterns
Key Insight: The human is the expert making decisions; AI is the assistant providing
suggestions based on statistical analysis
Where AI is being used in your organization: email filters, chatbots, fraud detection,
automation
Why AI security is fundamentally different from traditional IT security
Topic 2: Cybersecurity Fundamentals That Apply to AI
Essential security concepts that everyone should understand, with specific focus on
how they apply to AI systems.
Core security principles: confidentiality, integrity, availability (CIA triad)
Common attack types: phishing, malware, data breaches, social engineering
How traditional attacks target AI systems differently than regular IT systems
Password security, access controls, and data protection basics for AI tools
Case Study: Real-world examples of traditional security failures affecting AI systems
Group Discussion: How security breaches in your industry might affect AI systems
Topic 3: AI-Specific Threats You Should Know About
Understanding the unique security threats that target AI systems and their potential
business impact.
Data poisoning: when bad or malicious data creates unreliable AI decisions
Model manipulation: techniques attackers use to trick AI into wrong answers
AI system failures and their cascading business consequences
Supply chain risks: compromised AI models and datasets
Real-World Examples: Major AI security incidents and their business impact
Afternoon Session
Topic 4: The Human Side of AI Security
Exploring how humans interact with AI systems and the security risks that emerge from
these interactions.
The anthropomorphic illusion: why AI seems human-like and why this creates security
vulnerabilities
Critical Concept: AI assistants provide statistically likely responses, not
expert knowledge or factual truth
The Confidence Problem: AI will respond with equal confidence
whether it’s providing accurate information or completely incorrect answers -
confidence level doesn’t indicate accuracy
Understanding AI Hallucinations: When AI generates false information that sounds
convincing and authoritative, creating security risks through misinformation
Social engineering attacks enhanced by AI: deepfakes, voice cloning, sophisticated
phishing
How to spot AI-generated content: text, images, videos, and audio
Hands-On Practice: Identifying deepfakes and AI-generated content in realistic
scenarios
Protecting yourself and your organization from AI-powered scams and fraud
Topic 5: AI in the Workplace - Opportunities and Risks
Practical guidance for safely using AI tools in professional environments while avoiding
security pitfalls.
Using AI tools safely: ChatGPT, Copilot, image generators, and industry-specific AI
applications
Security Guidelines: What information should and shouldn’t be shared with AI
systems
Intellectual property, confidentiality, and competitive advantage concerns
Understanding data retention and usage policies for AI services
Case Studies: Organizations that got AI workplace security right and wrong
Topic 6: Fraud, Deepfakes, and AI Deception
Understanding how criminals leverage AI technology and developing skills to detect and
respond to AI-powered deception.
How criminals use AI for fraud, scams, and identity theft
Advanced deepfake detection: identifying fake videos, audio, and images
AI-generated phishing emails and sophisticated social engineering campaigns
Protecting your organization’s reputation from AI misuse and impersonation
Interactive Demo: Latest deepfake examples and detection techniques
Topic 7: Building an AI Security Culture in Your Organization
Practical steps for contributing to and promoting AI security awareness within your
organization.
Creating awareness without creating unnecessary fear or resistance
Establishing practical policies and procedures for AI tool usage
Your role in AI security: reporting concerns, following guidelines, staying informed
Training and education strategies for different organizational roles
Resource Sharing: Tools, websites, and resources for staying current on AI security
threats
Course Wrap-Up and Next Steps
Key takeaways and immediate action items
Resources for continued learning and staying informed
How to contribute to your organization’s AI security initiatives
Q&A and discussion of specific organizational challenges
Prerequisites
To ensure a smooth learning experience and maximize the benefits of attending this course,
you should have the following basic qualifications:
Basic computer literacy and familiarity with common software
applications. Comfort using email, web browsers, and standard business applications.
General understanding of business operations and organizational
structures. Awareness of how technology impacts business processes and decision-
making.
Curiosity about technology and willingness to learn new concepts. No technical
background required, but openness to understanding how technology affects security
and business operations.