100% free community training. No paywall, no credit card, no signup wall. We just want more people to stay secure.
Cybersecurity Is Sexy
โญ pts
๐Ÿ”ฅ day streak

AI Security Awareness Training
for people who do not want to get played.

Learn how to recognize AI phishing, deepfakes, voice cloning scams, and the easiest ways people leak sensitive data into AI tools at work. No coding. No buzzword soup. Just practical judgment.

Free to read. Free to share. Built to make normal humans harder to fool.

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Choose your learning style:

Guided Mode walks you through step-by-step cards. Browse All shows everything at once. Switch anytime using the button in the header.

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Your progress
8
core training modules
8
assessment scenarios to test yourself
~30
minutes to complete the full course

The promise

What someone should know after 30 minutes on this page

They should be able to slow down suspicious AI-shaped messages, ask better verification questions, and stop pasting confidential material into systems they do not fully control.

Spot the fake

Identify pressure tactics, weird urgency, cloned voice patterns, and synthetic media tells.

Use AI safely

Understand what never belongs in public AI prompts and what a sane workplace policy looks like.

Respond with confidence

Know the first checks to run before sending money, data, credentials, or sensitive documents.

Guided flow

Guided Training

Step through each module at your own pace

Course map

A visual path through the training

Each module now gets a visual anchor so users can scan the whole course quickly before they decide what to read in depth.

Early access

Pick your lane and raise your hand

If the free version helps, the next version can go deeper for individuals, founders, or full teams. People who are already sold should not have to scroll forever to act.

Individual

Get notified when the full self-paced version, downloadable kit, or badge goes live.

Small business owner

Use this as practical AI guardrails for yourself and a few trusted staff members.

Team training

Ask about a pilot, internal rollout, or white-label awareness package for client accounts.

What you get

  • Eight text-first training modules
  • AI scam and data-boundary scenarios
  • Starter AI acceptable-use policy guidance
  • Printable safe-use checklist
  • Priority notice when a fuller course version drops

This sends a direct request to the training inbox. No giant funnel. No nonsense.

Beginner prompting

Give AI more direction, not more secrets

Better prompts usually come from clearer goals, audience, and format. They should not come from dumping more confidential detail into the tool.

Safe prompt pattern

  • State the goal clearly
  • Name the audience
  • Ask for a format like bullets, email, checklist, or summary
  • Add constraints such as tone, length, or reading level

Unsafe beginner mistake

  • Pasting full contracts, customer records, employee notes, or tax data
  • Sharing private credentials, internal security findings, or raw incident details
  • Assuming โ€œbetter outputโ€ requires more sensitive context
Safer example

โ€œWrite a friendly 120-word client email explaining a delayed shipment. Keep it calm, clear, and professional.โ€

Unsafe example

โ€œHere is the full customer record, internal notes, contract details, and order history. Rewrite my response.โ€

Choosing models safely

The plan and controls matter as much as the model

From a cybersecurity standpoint, the smartest question is not โ€œwhich model is coolest?โ€ It is โ€œwhat environment, policy, retention, and approval status come with it?โ€

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Public drafting

Fine for public-facing ideas, outlines, summaries, and low-risk writing tasks.

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Work with internal data

Only in approved business tools with admin controls, retention settings, and documented commitments.

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Regulated or confidential data

Needs explicit approval, clear contracts, and a workflow that matches legal and client obligations.

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Unknown tools

Treat unapproved or unclear AI tools as unsafe until someone has reviewed where the data goes and how it is handled.

Modules

Guided lesson library

All 8 training modules in one place

Each lesson is written for a text-based delivery format with enough interactivity to feel like training instead of a blog post.

Scam signals

Three AI threat patterns worth drilling into for SEO and usefulness

AI phishing

Messages now read cleaner, match your tone, and can be personalized at scale. The training teaches people to verify context, not just grammar.

Voice cloning scams

A familiar voice is not proof. The module introduces code phrases, callback rules, and urgency interruption as defense habits.

Deepfake trust attacks

If someone sees a face or hears a leader, they lower their guard. This section teaches verification before obedience.

Example: suspicious payment change

โ€œHey, Iโ€™m in meetings all day. Please update the wire details for our vendor and process before 3 PM. This came directly from finance.โ€

Red flags: urgency, authority pressure, process bypass, and a request that should be verified outside the same channel.

Example: voice clone trap

โ€œItโ€™s me. I lost access to my phone and I need you to send this right now. Iโ€™ll explain later.โ€

Red flags: emotional urgency, sudden secrecy, alternate payment route, and pressure to skip your normal callback rule.

Data boundaries

What not to give non-business AI tools

If a tool is not explicitly approved for business use, assume it is the wrong place for regulated, confidential, or client-owned material.

Stop zone โ€ข never paste this into a consumer AI tool

  • Passwords, MFA codes, recovery codes, API keys, or private certificates
  • Customer lists, employee files, HR notes, tax records, or payroll data
  • Contracts, legal disputes, acquisition details, or non-public financials
  • Medical data, student data, payment card data, or anything regulated
  • Internal network diagrams, incident reports, security findings, or proprietary code unless the environment is approved

Safer zone โ€ข better alternatives

  • Redact names, account numbers, addresses, and unique identifiers before prompting
  • Use approved enterprise plans with admin controls, retention settings, and documented privacy commitments
  • Convert real records into synthetic examples when you only need structure or wording help
  • Have a simple data classification rule: public, internal, confidential, regulated
  • When in doubt, ask security, legal, or leadership before using a third-party model

Provider origin

Know where the AI vendor sits before you trust it with work data

This is about ownership, storage location, privacy terms, admin controls, and whether the tool fits your legal and contractual obligations.

Provider country is only one factor. The real decision also includes plan type, contract terms, admin controls, retention behavior, regional storage, and whether your organization has approved the tool.

Compliance basics

The practical compliance layer behind safe AI use

Most organizations do not need everyone to become privacy counsel. They do need a short policy, a clear approval path, and a few rules that stop accidental exposure.

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HIPAA

Protected health information does not belong in unapproved AI tools. If healthcare data is involved, the vendor, contract, and workflow must be explicitly suitable.

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Privacy laws

CCPA, GDPR, and similar rules raise questions about notice, retention, transfers, processor terms, and user rights.

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Contracts

You can violate client agreements long before you violate a statute. NDAs, confidentiality clauses, and security addenda matter.

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Retention

One of the first questions should be: what happens to the prompt, output, and attached files after the conversation ends?

Starter policy

  • Use only approved AI tools for business work.
  • Do not paste confidential, regulated, or client-owned data into consumer AI products.
  • Human review is required for high-impact outputs involving finance, legal, HR, healthcare, or security decisions.
  • AI-generated content must be verified before sending, publishing, or acting on it.
  • Report mistaken uploads or suspicious AI interactions immediately.

Mini assessment

Would this work as training?

This quick interaction is here on purpose. Search engines get a richer page, users spend more time engaged, and you get a prototype for future lesson checkpoints.

Current score

Modules completed

Course Complete

AI Security Awareness Training

Awarded to

You completed all 8 modules and passed the assessment. Keep the checklist, use the starter policy, and do not let convenience outrun authorization.

Assessment passed

Finish the remaining modules

You passed the assessment. Complete the remaining modules above to unlock your full certificate.

FAQ

Frequently asked questions

Is this a real course?

Yes. Eight structured modules, a scored assessment, progress tracking, and a completion certificate. The content is practical, not theoretical.

Who is this for?

Individuals, SMB leaders, and employees who need AI safety awareness without becoming AI engineers or compliance specialists.

Is the full course free?

Yes. All 8 modules, the assessment, and the checklist are free. Team licensing and white-label versions are available for organizations.

Team training

Need this for your whole organization?

The free version covers the core training. The team version adds tracking dashboards, custom policies, completion reporting, and white-label options for MSPs.