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AI cybersecurity: protection from AI-powered attacks

Scammers now use AI to clone voices, write flawless phishing emails and trick the AI tools your team uses. We set up the checks these attacks can't get past, lock down your own AI, and train your people to spot what's left.

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  • Customer-facing work waits for your approval
  • Built and run by one team
  • Miami, Florida, working across the US

The problem: AI made scams cheap and convincing

The old warning signs, like typos and a strange accent, are gone.

Before

Without protection

  1. A cloned voice of your CEO asks for an urgent wire
  2. A flawless email from a vendor changes their bank details
  3. Staff paste client files into free chatbots
  4. Anyone can send email that looks like it came from you
After

With Raileon AI cybersecurity

  1. Money and access requests need a code word and a call-back
  2. New bank details are confirmed by phone before anyone pays
  3. A short list of approved AI tools, and a policy people follow
  4. Inboxes are told to reject fake email in your name

What we set up

Six protections, matched to the attacks AI made cheaper.

  • Email security. SPF, DKIM and DMARC set up and checked, so inboxes reject fake email sent in your name, plus warnings on outside and lookalike senders.
  • Payment approvals. Payments over a limit you choose need a second person, and changed bank details are confirmed by phone first.
  • Call-back rules. A code word and a call-back on a number you already have, for any request to move money or share access. A cloned voice alone gets nowhere.
  • An AI policy and approved tools. One page on what staff can paste into AI tools, a short approved list, and if you want it, a private AI that keeps your data inside your business.
  • Every AI action logged. Your Modules get only the access they need, risky actions wait for a person's approval, and everything they do is recorded.
  • Team training. Short, hands-on sessions with real examples of AI scams, so people check before they click, pay or share.

How a deepfake payment request gets stopped

One convincing call is no longer enough to move money.

  1. 1

    The call

    A voice that sounds like your CEO asks for an urgent wire.

  2. 2

    The rule

    Your team asks for the code word and says they'll call back.

  3. 3

    The call-back

    They call the CEO on the number already on file.

  4. 4

    The approval

    A second person signs off on any payment over your limit.

  5. 5

    Stopped

    The real CEO never asked, so nothing is paid.

The attacks, and what we set up for each

AttackWhat it looks likeWhat we set up
Cloned voice or deepfake videoAn urgent call or video from your CEOA call-back rule and a code word
AI-written phishingA flawless email from a vendor, your bank or your bossSPF, DKIM and DMARC, plus outside-sender warnings
Invoice and payment fraudA real-looking invoice, or new bank detailsA second person's approval and a phone check
Company data pasted into AI toolsClient files in a free chatbotAn AI policy, approved tools and a private AI
Attacks on your own AIHidden instructions in an email or web pageLeast access, approvals and a log of every action

Check whether your email is easy to fake

We checked the public email settings of 749 South Florida law firms and real estate offices. About 4 in 5 haven't told inboxes to block fake email in their name. Read the South Florida email spoofing report, or check your own domain for free.

What the security review gives you

A short list of gaps, in plain English, in the order to fix them.

Security review · FindingsExample
  • 1

    DMARC not set to block

    Why it matters:
    Anyone can send email in your name
    Fix:
    Set it to reject after a two-week test
  • 2

    Wires approved by one person

    Why it matters:
    One convincing call can move money
    Fix:
    A second person approves anything over your limit
  • 3

    No call-back rule

    Why it matters:
    A cloned voice gets through
    Fix:
    A code word and a call-back on a known number
  • 4

    Client files in free chatbots

    Why it matters:
    Client data leaves the business
    Fix:
    An AI policy and approved tools

Every review ends with a list like this, and you decide what we fix.

How it starts

  1. 1

    A 20-minute call

    Where money moves, who can approve it, and which AI tools your team uses.

    You get: Whether this fits, and what to fix first.

  2. 2

    A security review

    We check your email settings, payment steps and AI use.

    You get: A short written list of gaps, in plain English.

  3. 3

    Set-up

    We put the email settings, approval rules, call-back steps and AI policy in place.

    You get: Protections built into how your team already works.

  4. 4

    Training

    A short session for your team, with real examples of AI scams.

    You get: People who know what to check.

How pricing works

Monthly care

from$1,999/ month

New builds and upgrades are priced by scope, in a written proposal, before anything starts.

Book a 20-minute callStart monthly care
  • The review, the set-up and the training are priced by scope, in a written proposal.
  • Monthly care keeps your protections checked and up to date as tools and attacks change.
  • AI usage at the agreed rates, or through your own AI provider account with no Raileon markup.
  • Cancel any time. Your plan runs to the end of the month you've paid for. No exit fee.

See how engagements work.

Guides on email security and AI at work

Free tools:Free email security checkFree business checkupSee all guides

AI cybersecurity FAQ

Protection against attacks that use AI, like cloned voices, AI-written phishing and fake invoices, plus protection for the AI tools your own business uses, so they can't be tricked into leaking data or taking actions.

No one can stop a scammer from calling. What we set up makes the call fail: money and access requests need a code word and a call-back on a number you already have, and larger payments need a second person.

Usually not. Most of the work is settings in the email and payment tools you already use, a few clear rules, and training.

DMARC is an email setting that tells inboxes what to do with mail that claims to be from you but isn't. Until it's set to block, anyone can send email that looks like it came from your domain. Check yours for free.

Your Modules get only the access they need, risky actions wait for a person's approval, and every action is logged. Your data is kept separate, encrypted and backed up daily. Our security page lists what we do and what we don't have yet.

No. We work alongside them on the gaps AI scams use: email settings, payment steps, AI use and training. If you need a formal security audit or a certification, we'll tell you.

More ways we help

Related services and pages to explore next.

Make AI scams fail at your company

Tell us how money and data move in your business. On a 20-minute call we'll show you the gaps AI scams use, and how to close them.

Konstantin, Founder & CEO of Raileon

20 minutes with Konstantin, the founder.

You leave with the first 3 things to automate in your business, whether or not we work together. We're based in Miami, Florida.

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