AI Security & Awareness Training
A foundational AI security course for the modern workforce.
per learner · volume & team pricing available
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Outcomes your team walks away with
Explain what AI, machine learning, and generative AI actually are — and why an LLM is a pattern predictor, not a fact engine.
Recognize AI-specific failure modes: hallucination, bias, stale knowledge, and data leakage.
Spot modern AI-powered attacks — flawless phishing, voice clones, and deepfake video calls.
Apply the seven golden rules of safe workplace AI use and the five-second before-you-prompt checklist.
Know exactly which data must never enter an unapproved AI tool — and why.
Verify high-stakes requests out-of-band and report AI incidents quickly and without blame.
6 modules, self-paced
A clear path from "what is AI" to confident, accountable daily use — with a knowledge check after every module.
Understanding AI: what it is and how it works
What AI, machine learning, and generative AI actually mean, how large language models produce answers — the honest version — and the one idea every rule in the course is built on: AI tools are pattern predictors, not fact engines.
Speaking AI: essential terminology
The working vocabulary (prompt, model, context window, knowledge cutoff) and the risk vocabulary (hallucination, shadow AI, prompt injection, deepfake) — in plain English. Recognize, don’t memorize.
When AI gets it wrong
Hallucination as confident fabrication (including the real fake-citations court case), bias and stale knowledge, where your prompt data actually goes, and automation bias — why good tools make us worse checkers.
AI as an attack vector
Phishing without the typos, cloned voices, and the $25M deepfake-CFO scam. Prompt injection, jailbreaking, data poisoning, shadow AI — and the out-of-band verification habit that defeats them.
Using AI safely: acceptable use at work
The seven golden rules of workplace AI use, the data that never enters an unapproved tool, verification habits scaled to consequence, and the five-second before-you-prompt checklist.
Your role: reporting, governance & accountability
What counts as an AI incident and why speed beats certainty, the no-blame reporting commitment, and how AI governance works in sixty seconds — typically aligned to the NIST AI Risk Management Framework.
Everything in the course
- Six self-paced modules you can take on your own schedule
- A knowledge check after every module
- A 10-question final assessment (80% pass mark, retake permitted)
- A downloadable workbook with the full glossary and answer key
- A completion record and score retained as training evidence for audits
- Plain-language content — zero technical background assumed
Who it's for
- Every employee who uses email, chat, or a browser — the whole workforce
- Teams rolling out copilots and AI features who need a baseline of safe use
- Companies pursuing or maintaining SOC 2, ISO 27001, or NIST-aligned programs
- Leaders who need defensible, auditable proof of AI awareness training
Helps satisfy
Ready to enroll?
$49 USD per learner · volume & team pricing available
Go deeper before you enroll
Deepfake Fraud at Work: The $25M Video-Call Scam and How to Stop It
An employee joined a video call with the CFO and colleagues, and authorized roughly US $25 million in transfers. Every person on the call was a deepfake. Here's how AI impersonation attacks work — and the single habit that defeats them.
Read guideThe 7 Rules of Safe Workplace AI Use (+ a 5-Second Checklist)
The seven golden rules for using AI safely at work, the data that must never enter an unapproved tool, and a five-second checklist to run before every prompt. A practical acceptable-use playbook for any employee.
Read guideShadow AI: What It Is and How to Manage It
Shadow AI is any AI tool, extension, or personal account used for work without approval. It usually starts innocently — and quietly strips away every protection your organization has negotiated. Here's how to spot it and shut down the risk.
Read guide
Paige Hanson
Co-Founder & Cyber Safety Expert, SecureLabs
Paige Hanson is a co-founder of SecureLabs and spent 16 years leading cyber safety education at NortonLifeLock (formerly LifeLock). She designed the national identity-theft training program for law enforcement in partnership with FBI-LEEDA — delivered in all 50 states to roughly 17,000 officers — and has trained thousands of victim advocates and military personnel. Nearly two decades of turning real-world threat intelligence into plain-language lessons shape every module in SecureLabs Academy.
- 16 years leading cyber safety education at NortonLifeLock (LifeLock)
- Built the FBI-LEEDA national identity-theft training — taught in all 50 states
- Certified Identity Theft Risk Management Specialist (CITRMS)
- Certificate in Identity Leadership, UT Austin Center for Identity
Frequently asked questions
Who is this AI security awareness training for?
Every employee. The course assumes zero technical background and focuses on the habits any worker needs to use AI tools safely and to recognize AI-powered attacks. It is appropriate for all roles and departments.
How long does the course take?
It is self-paced. The course is six short modules that learners can complete in one sitting or spread out over time, and each module ends with a quick knowledge check.
Is there a certificate or completion record?
Yes. Learners take a 10-question final assessment with an 80% pass mark (retakes are permitted after review). Completion records and scores are retained as training evidence for compliance and audit purposes.
Does this satisfy SOC 2 or ISO 27001 awareness training requirements?
It is built to support them. SOC 2, ISO 27001, and NIST-aligned programs all expect a workforce trained on the risks it actually faces — which in 2026 includes AI. The course provides auditable completion evidence to demonstrate that coverage.
How do we enroll a whole team?
Individual learners can enroll and pay directly through our learning platform. For team or organization-wide rollouts with bulk seats, reporting, and invoicing, contact us and we will set you up.
Who developed this training?
It was developed in-house by SecureLabs co-founder Paige Hanson. Paige spent 16 years leading cyber safety education at NortonLifeLock (formerly LifeLock) and built the national identity-theft training for law enforcement with FBI-LEEDA, taught in all 50 states. The curriculum is built by our own team, not licensed from a third party, and her real-world experience shapes every module.
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