What are the best practices for protecting personal information online during Data Privacy Week initiatives?

The most reliable practices are straightforward: keep passwords long and unique, use strong authentication, and regularly review privacy settings on consumer and business services. Teams should also treat privacy as an ongoing operating habit, not a once-a-year campaign. These controls reduce account takeover risk, limit unnecessary sharing, and make it harder for personal data to spread across services.

Protecting personal information during Data Privacy Week starts with the accounts people already use

During awareness campaigns, the most effective guidance is the guidance people can apply immediately: strengthen the accounts that hold personal data, reduce the amount of data shared by default, and review the permissions attached to consumer and work services. Privacy habits only matter if they survive beyond the campaign week and become part of routine account hygiene.

That means treating passwords, authentication, and privacy settings as the first line of defence. If a password is reused, a single breach can expose multiple services. If settings are left at default, people often share more location, contact, or profile data than they realise. For service-specific guidance, consumer-facing mobile apps are a frequent source of overexposure, which is why practical checks matter in IOS app secrets leakage report and the broader identity overview in Ultimate Guide to NHIs — What are Non-Human Identities.

What good privacy practice looks like in everyday use

The best approach is to focus on the points where personal information tends to spread: email, cloud storage, mobile apps, social platforms, shopping accounts, and shared devices. Review what data each service can see, what it can sync, and whether location, contacts, photos, or calendar access is actually needed. Recheck these settings after product updates or account changes, because defaults often shift over time.

Use a password manager, unique passwords, and strong authentication so one compromise does not become a chain of compromises. Also limit the creation of unnecessary profiles, marketing consents, and third-party logins. When an organisation or app asks for more data than the service function requires, the safest choice is to decline, reduce, or compartmentalise that request. Privacy preservation is usually about reducing the number of places where the same identifier is reused, not about hiding everything.

Risk and Threat Considerations

Personal data is exposed most often through weak account hygiene, overly broad app permissions, and hidden reuse of the same email, phone number, or login across multiple services. Once that data is tied together, attackers and trackers can build a fuller profile, and a single account compromise can reveal much more than the original breach contained.

Failure mechanism: Reused credentials, permissive defaults, and over-shared profile data allow account takeover, third-party data collection, and unnecessary data propagation across services.

Impact: The result can be identity fraud, targeted phishing, exposure of sensitive personal details, and persistence of data in systems that are hard to unwind once shared.

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, NIST SP 800-63 and CIS Controls v8 set the governance and control requirements practitioners need to meet.

Framework	Control / Reference	Relevance
NIST CSF 2.0	GV — Govern	Privacy week guidance benefits from ongoing governance of account hygiene and data-sharing habits.
	PR.AA — Identity Management, Authentication, and Access Control	Strong authentication and account control are central to preventing takeover of personal-data-bearing accounts.
	PR.DS — Data Security	The subject is about limiting unnecessary personal-data exposure across services.
Recommendation — Establish privacy ownership and review routines for consumer and business accounts. Enforce strong authentication and limit account access to reduce takeover risk. Minimise personal data sharing and protect it through safer storage and transfer choices.
NIST SP 800-63	IAL — Identity Proofing	Reducing account takeover risk depends on trustworthy enrolment and identity assurance.
	AAL — Authentication Assurance Level	Strong authentication is a key practice for protecting accounts that hold personal information.
Recommendation — Use appropriate identity assurance when creating or recovering high-value accounts. Raise authentication assurance for accounts that protect sensitive personal data.
CIS Controls v8	5 — Account Management	Unique passwords, reduced sharing, and review of consumer accounts align with account management discipline.
	6 — Access Control Management	Limiting permissions and reviewing privacy settings is fundamentally access control for personal data.
	8 — Audit Log Management	Privacy campaigns are stronger when users and teams can verify account and data access activity.
Recommendation — Inventory and secure accounts that store or can reveal personal information. Remove unnecessary permissions and access paths to personal data. Retain logs that help confirm who accessed personal-data-bearing services.

Practitioner Guidance

What to prioritise: Start with the accounts that expose the widest blast radius, typically email, cloud storage, password managers, mobile platforms, and any account used for password resets or sign-in recovery. Those are the control points that make the biggest difference if they are protected well.

What to verify: Confirm that privacy settings are actually restrictive, not just present. Check whether location, camera, contacts, photos, and cross-device sync are enabled by necessity or by habit, and remove access that is no longer required.

Practitioner takeaway: The most useful privacy habit is not a one-time cleanup, it is repeated reduction of exposure, because the smallest shared setting or reused login can become the biggest source of personal data spread.