Prevention first, not monitoring after the fact.
Most family safety apps start watching once something has gone wrong. OWL Protect is built the other way round — education, device security, wellbeing and open family conversation, agreed with consent.
The six pillars
Every tool on Project OWL belongs to one of these. Start anywhere.
Updates, screen locks, biometrics, multi-factor authentication, jailbreak/root awareness and app permission reviews — self-assessed, nothing collected.
Location sharing your child agrees to, geofencing, check-ins, an SOS route and trusted contacts — plus honest guidance on Apple, Google and Microsoft family tools.
Weekly family challenges, password training, scam recognition and safe phishing drills that build habits before anything goes wrong.
Current scam and phishing techniques, grooming warning signs, fake profiles and impersonation, and privacy checklists for social platforms.
Recommended minimum age, privacy rating, data-collection summary, known safety concerns, parental guidance and official resources — per app.
Ask OWL answers everyday questions — is this a scam, is this app right for a 10-year-old, how do I report bullying — and always routes to a human service for anything urgent.
How we handle you and your family
Every family feature is designed to be agreed out loud between an adult and a child. OWL Protect never reads messages, never tracks a device silently, and never produces a covert report.
The checks, planners, drills and challenges on this site score entirely in your browser. No passwords, device identifiers or assessment answers are sent anywhere.
Risk information comes from published UK sources — police forces, the NCA/CEOP, IWF, NSPCC, Childline and court reporting. We do not name individuals or claim to know where offenders are.
Why a prevention model matters
The dominant design pattern in consumer parental-control software is reactive surveillance: content filtering, message interception and location logging that a parent reviews after a concern has already surfaced. That pattern has two known weaknesses. It damages the trust a child needs in order to disclose harm, and it produces alerts only once exposure has occurred.
OWL Protect proposes an alternative: a consent-based, education-led model that combines six normally separate domains — cybersecurity education, digital wellbeing, family communication, device security, responsible AI assistance and guidance curated from trusted organisations — into a single family-facing service where no covert data collection occurs.
The measurable claim is that safety behaviours (multi-factor authentication enabled, agreed screen-time boundaries, scam recognition accuracy, knowledge of reporting routes, presence of a named trusted adult) can be improved without monitoring, and that improvement is observable through the self-assessed checks published here.