Higher digital activity expands the number of touchpoints attackers can exploit, from delivery notices to account recovery and fake alerts. Scammers benefit when users are busy, expect messages, and move quickly without checking details. The practical defence is to reduce trust in unsolicited messages, verify requests through a separate channel, and make it harder for attackers to reuse stolen or publicly available data.
Why online activity gives scammers more opportunities
When more people buy, browse, and share information online, they create more moments where trust can be manipulated. Every parcel update, password reset, checkout, social post, and account notification becomes a chance for a scammer to impersonate a legitimate service or person. The result is not just more messages, but more believable messages that fit normal behaviour.
That scale matters because scams work best when the target is already expecting digital contact and has less time to inspect it. High activity also increases the amount of publicly visible data that can be repackaged into convincing lures, from shipping details to names, job titles, and social connections.
How scammers use normal online behaviour against people
Scams grow by matching ordinary user habits. People are used to clicking links, approving logins, confirming deliveries, and sharing updates quickly, so a fake prompt can look routine rather than suspicious. The more frequently those actions happen, the easier it is for attackers to hide inside genuine-looking traffic.
This is why scam campaigns often imitate common services rather than inventing unusual stories. A delivery exception, account lockout, refund notice, or shared document request feels plausible because it fits the flow of everyday online activity. The scam does not need to be perfect, only timely and believable enough to trigger a fast response.
Attackers also benefit from data reuse. Public posts, breached information, and scraped details can be combined to make a request feel personalised. When the message includes something the recipient recognises, the chance of a rushed click or reply rises.
Why verification, friction, and data minimisation reduce scam success
The practical defence is to make scams harder to execute at scale. If a request arrives unexpectedly, treat the channel as untrusted until the request is confirmed through a separate route, such as a known phone number, official app, or bookmarked site. That breaks the attacker’s advantage, which depends on the recipient responding inside the same message thread.
Reducing exposed information also helps. The less personal or operational detail scammers can harvest, the less convincing their lures become. Strong account recovery settings, cautious sharing, and tighter privacy defaults all reduce the raw material attackers use to tailor messages.
Verifying the destination matters just as much as verifying the sender. A real organisation may still be linked to a fake page, so checking the site address, login flow, and request context is often more reliable than trusting the logo or wording alone.
Risk and Threat Considerations
More online activity increases the attack surface for impersonation, social engineering, and account recovery abuse. The main risk is not only a larger number of scams, but a higher success rate because attackers can blend into normal commercial and personal communication patterns.
Failure mechanism: Scammers exploit volume, urgency, and familiarity. They use routine transactions, public data, and repeated notifications to trigger fast action before the target verifies the request out of band.
Impact: Victims may disclose credentials, approve fraudulent payments, install malware, or expose additional personal and organisational data, which can then be reused for follow-on fraud.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0, CIS Controls v8, NIST SP 800-63 and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AA-05 — Identity Management, Authentication, and Access Control | Verification of online requests depends on strong identity and access controls. |
| PR.DS-01 — Data-at-rest protection | Reducing exposed personal data lowers the material scammers can use to tailor lures. | |
| Recommendation — Require strong authentication and access checks before any sensitive action or recovery step. Limit exposed personal data to reduce the material available for social engineering. | ||
| CIS Controls v8 | CIS-9 — Email and Web Browser Protections | Scams commonly arrive through email and browser-based impersonation paths. |
| Recommendation — Harden email and browser controls to reduce exposure to phishing and fake sites. | ||
| NIST SP 800-63 | SP 800-63 — Digital Identity Guidelines | Account recovery and authentication are central to scam-resistant verification. |
| Recommendation — Use phishing-resistant authentication and safer recovery flows for sensitive accounts. | ||
| NIST SP 800-53 Rev 5 | IA-2 — Identification and Authentication (Organizational Users) | Scam-resistant processes rely on verifying who is making a request before acting. |
| Recommendation — Verify requester identity before approving sensitive account or access changes. | ||
Practitioner Guidance
What to prioritise: Focus first on the points where users are most likely to act automatically, especially delivery notices, account recovery, payment prompts, and shared-document alerts. Those are the interactions scammers most often reshape into a believable pretext.
What to verify: Check whether users have a separate-channel verification habit for sensitive requests, and whether privacy and sharing settings limit how much information is available for message tailoring. If either is weak, scam resistance is likely weaker than it appears.
Common mistake: Treating scam resistance as only a user-awareness problem. The stronger control is reducing easy trust signals and limiting the data that makes fake messages look legitimate.
Practitioner takeaway: Scam volume grows with online activity, but scam success grows when people can be rushed, personalised, and kept inside one communication channel. The best defence is to break that chain.
Related resources from NHI Mgmt Group
- What should people do when they want to share personal information online but still protect themselves?
- How should organisations reduce customer trust barriers before asking people to share more data online?
- How should security teams reduce account takeover risk when users share too much personal information online?
- How should organisations align fraud monitoring with the scams people are most worried about online?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
