AI Smishing
One tap on a convincing text can put a work account at risk. AwareX rehearses role-relevant SMS requests, reviewed before release, with learning that follows every response.
Explore the approachA familiar text can reach a team before a warning does.
A timely workplace text can turn one tap into a credential risk. AwareX rehearses reviewed, role-relevant SMS requests and guides follow-up learning.
A text claims the campaign review workspace needs a new sign-in from the venue Wi-Fi. The employee checks the official workspace independently.
Fictional workplace example, not a live attack or measured customer result.
- 01 / WHAT ROUTINE TRAINING MISSES
The phone is outside the rehearsal.
Generic mobile alerts miss the role, timing, and business context that can make an SMS persuasive.
- 02 / WHEN THE REQUEST FEELS REAL
One tap can move work to an unsafe destination.
A false workspace or access alert can pull employees into a credential request while they are away from their usual workflow.
- 03 / WHERE AWAREX CHANGES THE REHEARSAL
Bring business context to mobile practice.
AwareX shapes reviewed SMS scenarios around roles and workplace moments, then uses responses to guide the next lesson.
Routine compliance training vs. AwareX
Compliance learning establishes a foundation. AwareX puts AI behind the rehearsal: it studies your approved context, drafts the scenarios, and adapts what people practice next.
| What matters | Routine compliance training | AwareX approach |
|---|---|---|
| Starting point | A scheduled course built around policies and general awareness. | AI studies your approved business context first, so the first test reflects how you work. |
| Workplace relevance | The same broad examples for every responsibility. | AI drafts role-specific versions for finance, HR, IT, and leadership; your team approves each. |
| What people practice | Recognizing terms and selecting answers in a lesson. | AI adapts sender, story, tone, and difficulty from each response. |
| Follow-through | Completion often becomes the finish line; reinforcement is rarely built in. | AI reads each click, report, and pause, then sets the next round from the missed cue. |
| What success means | Attendance, course completion, and assessment scores. | The decisions people make in rehearsal, tracked by AI across rounds, not one quiz. |
This compares a completion-focused training approach, not every training provider. AI output is reviewed by your team before release, and capabilities and scope are confirmed in your demo. Training does not guarantee attack prevention, compliance, or certification.
From recognizing a message to rehearsing a response
Will the employee open the official app instead of using a link in an unexpected text?
Rehearse the decisionExplain the missed cuePractice again
What is AI Smishing?
A text message that arrives at a plausible moment, in wording that fits the recipient's role. The exercise rehearses whether the person taps the link or checks the official app first.
Timed to a real moment
An offsite, a board review, a system migration: the message lands when it would plausibly matter, not at random.
Wording that fits the person
Sender style, urgency, and detail adapt to role and seniority instead of one generic alert for everyone.
The decision is the result
The useful measure is whether the request is verified through the official app or a known contact before anything is opened.
A text claims the campaign review workspace needs a new sign-in from the venue Wi-Fi. The employee checks the official workspace independently.
Illustrative example. Message types and languages in scope are confirmed with your team, and every scenario is reviewed and approved before it runs.
New to the term? Read the guide: What is smishing?
How AwareX AI makes it more effective.
No generic templates. AwareX agents read what is happening at your company and build department-specific tests from it.
AI writes the text that lands on their phone.
- Scan the web
- Read the news
- Map the people
- Write the SMS
- Send for approval
- Company offsite announced for next week
- New funding round closed
- Head of Sales joins from a rival
Text from +44 CEO office
In a meeting. Can you buy gift cards for the client?
Tap to sort it now: yourco-help.example/verify
Delivered · now
Awaiting your approvalIllustrative example. Signals, names, and messages are not real customer data.
AI times the message to plausible business moments (an offsite, a board review, and a system migration) so the rehearsal feels real.
Wording adapts to the recipient's role and seniority instead of one generic alert.
Responses guide the follow-up coaching each person receives.
AI proposes; people decide. Every scenario is reviewed and approved by your team before it reaches an employee.
Every answer changes the next test.
Each response is read as a signal, not filed away as a score. The AI engine moves each person one step up or down seven difficulty levels, so nobody meets a deepfake call before they can spot a fake invoice, and nobody stays on obvious spam that teaches them nothing.
- Reported it in time
The next test moves a step up the ramp: a more familiar sender, a tighter story, or a second channel arriving behind the first.
- Clicked, then raised it
The level holds. The lesson names the exact cue that was missed, and that cue returns in the next wave until it is recognized on sight.
- Missed it entirely
Coaching comes first, not embarrassment. The next test keeps the same theme with clearer warning signs, then rises again once the habit holds.
Adjustments belong to the person, not the whole company. Your team still reviews and approves every wave before it runs.
- Obvious phishing
- Realistic corporate
- Spear phishing
- Business email compromise
- Executive impersonation
- Multichannel story
- Deepfake + social engineering
Why it matters: a result only means something when you know how hard the test was.
A familiar moment. A decision worth rehearsing.
AI Smishing, rehearsed through the decisions around a marketing offsite and a campaign plan.
- A realistic message lands in the flow of work.
- Each cue is inspected one by one, from the sender to the deadline.
- The safe response is rehearsed: report it, verify it, or ask.
A person reviews every scenario.
Illustrative screens, not live product screenshots. Messages, identities, and destinations are fictional; no links, payments, approvals, or uploads are active. Confirm capabilities in a demo.
One check today.
A safer routine every day.
Run a mobile fire drill. Practice checking the official workspace, verifying the request, and reporting the text before tapping.
Explore the fire-drill approachCaptured platform preview. Figures are example data, not measured customer results.
- 01
A drill, not a checkbox
A signed policy fades within weeks. A rehearsed pause, verify, and report habit holds when a real message lands.
- 02
Practice where decisions happen
Short, contextual exercises arrive in the flow of work, in the channels your teams actually use, instead of a once-a-year course.
- 03
Learn, never blame
A miss is data for the next exercise, not a mark against a person. Repeated practice is what moves the numbers.
IMPROVE.
One continuous loop.
Identify, Measure, Prioritize, Reduce, Optimize, Validate, and Evaluate. AI connects business context, employee responses, and targeted learning to inform each next test.
Explore related solutions.
Clarity before
the next step.
What is AI smishing?
AI smishing is SMS phishing that uses artificial intelligence to help write or personalize deceptive text messages. A message can reference a real workplace event and still direct employees to an unauthorized sign-in or information-sharing request.
How does AI smishing differ from ordinary SMS phishing?
Both use text messages to influence a risky decision. AI can help vary the language, imitate a business communication style, and incorporate public context at scale. Ordinary smishing can also be convincing, so employees should verify the request rather than judge whether AI wrote it.
What are examples of AI-assisted smishing at work?
Examples include a text about reopening a campaign workspace during an offsite, a false IT sign-in alert during a system change, or an urgent approval request timed to a business review. A familiar event does not establish that the sender or link is legitimate.
What should employees do with a suspicious work-related text?
Avoid tapping the link or sharing passwords, one-time codes, or business information. Open the official app or workspace independently, verify through a known contact, and report the message through your organization’s approved security channel.
How does AwareX AI smishing simulation work?
AwareX proposes text-message scenarios around plausible business moments and the recipient’s role. Your team reviews and approves the scenario before delivery. Responses guide coaching on unexpected links, sign-in requests, and independent verification.
What should AI smishing training help employees practice?
Training should rehearse checking an unexpected mobile request even when its wording and timing seem familiar. Review whether employees use an official workspace, verify through a separate trusted channel, and report suspicious messages, rather than measuring link avoidance alone.
