Why a number matters
A specific number turns an abstract threat into something you act on — the same psychology as a credit score or a step counter.
“Your data is out there” is an abstract threat. It’s easy to hear and immediately forget. But “your projected KnytX Score is somewhere around 20-25 out of 100” is concrete and personal.
Quantification drives action. When people see a specific number attached to their exposure — especially a low one — they’re motivated to improve it. This is the same psychology that makes step counters, credit scores, and fitness apps work. A number creates accountability.
Free tier: the 5-dimension exposure summary
Five dimensions — brokers, breaches, email, trackers, social — each worth up to 20 points, showing where your leaks are.
The free Score answers a simple question: where are the leaks? Five dimensions, each contributing up to 20 points.
Data broker exposure (0-20): How many of the 190+ data broker databases we monitor contain your personal information. More brokers = lower score. After Shield removes your data, this dimension improves.
Breach history (0-20): How many known data breaches include your email addresses and credentials. It also weighs how many stay unresolved, with passwords unchanged or MFA off. Each breach you fix raises your score.
Email exposure (0-20): How widely your primary email address has been shared, leaked, and listed. Using Relay aliases for new signups prevents further degradation. Cleaning up existing exposure raises the score.
Tracker footprint (0-20): An estimate of how many advertising and tracking networks have profiles on you based on your browsing patterns. Using KnytX DNS to block trackers reduces this dimension over time.
Social exposure (0-20): How much personal information is publicly visible on your social media profiles. Think full name, employer, location, phone number, email, and family connections. This is the raw material data brokers scrape first.
Pro tier: the 4-dimension risk model
Pro regroups the same scan into four risk outcomes — financial, identity-theft, physical-safety, reputation — so you know what to fix first.
The free 5-dim summary tells you where the leaks are. The Pro 4-dim model tells you what they add up to in attack terms. Same underlying scan data, regrouped around outcomes instead of sources.
Financial risk: Credit, banking, and payment exposures. Stealer-log credentials, leaked card data, exposed account numbers, breach combinations with high credential-stuffing utility against financial sites. The dimension that predicts fraud losses.
Identity-theft risk: SSN, date of birth, addresses, mother’s maiden name, security-question fodder. The fields an attacker needs to impersonate you against a bank, a tax portal, or a government service. This is distinct from financial risk because the fix is different — once an SSN is out, you don’t get a new one.
Physical-safety risk: Home address, daily routines, vehicle registration, family connections, employer location. The dimensions a stalker, doxxer, or swatter would weaponise. Often the highest dimension for journalists, attorneys, abuse survivors, and public figures.
Reputation risk: Searchable content, social media exposure, deepfake and impersonation surface. Captures the risk that someone shapes a false narrative about you using real raw material — your face, your voice, your past posts. Pairs with Vigil Executive impersonation monitoring.
Privacy Maturity Level (1–5)
Pro adds a 1-5 progression from Exposed (Level 1) to Hardened (Level 5). Levels are unlocked by concrete actions — verified emails added, broker removals confirmed, voiceprint enrolled, MFA on critical accounts, scam shields on. Each level shows only the next set of recommendations, so the list never feels infinite.
Scam Vulnerability Score
One number that predicts how likely an active scam is to succeed against you — with the recommendations that target those vectors first.
Pro adds a single number that predicts how likely an active scam will succeed against you, given what’s currently leaked. It matches what’s leaked about you against the scams that use that data, so you see which pretexts an attacker can actually run. If your phone, name, and recent bank-breach record are all loose, your number is high — and the recommendation set targets those vectors first.
Full methodology and the audit trail of how each score is computed live at Scoring transparency.
The projected Score
Most people, before taking any action, project to roughly 20-25/100 — our estimate from how the dimensions are weighted, not a measured population average.
We estimate most internet users, before taking any action, would score somewhere around 20-25 out of 100 — a projection based on how the dimensions are weighted, not a measured population average. This reflects a reality most people don’t want to think about: your data is likely on dozens of broker sites, your credentials have likely been in multiple breaches, your email is on marketing lists you never signed up for, and hundreds of tracking networks have profiles on your browsing behavior.
A low score isn’t unusual. It’s typical. Which means the problem is systemic — and that’s exactly why KnytX exists.