Built on principles, not promises
Trust is earned through consistent action, not marketing claims. This page explains how we handle your data, make decisions about AI, and hold ourselves accountable.
Our Approach
How we think about trust
Trust verification is consequential work. These principles guide how we approach it.
Precision over speed
We prioritize accuracy in every verification process. This sometimes means our results take longer, but we believe correct answers matter more than fast guesses.
Human oversight
Automated systems handle scale, but humans make final decisions on edge cases. Our verification specialists review flagged results before they reach you.
Documented methodology
Every trust score comes with an explanation. You can see which data sources contributed and how we weighted each factor.
Data Privacy & Security
Your data, protected
We treat customer data with the same care we would want for our own. These are not aspirational goals—they are how we operate today.
Encryption at rest and in transit
All data is encrypted using AES-256 when stored and TLS 1.3 when transmitted. This is the same standard used by financial institutions.
Data minimization
We collect only what we need to provide the service you requested. We do not harvest data for unrelated purposes.
Access controls
Internal access to customer data is limited to employees who need it for their specific job function. All access is logged and audited.
Retention limits
We retain data only as long as necessary for the stated purpose. You can request deletion of your data at any time.
Compliance: TrustIQ maintains SOC 2 Type II certification and complies with GDPR, CCPA, and other applicable data protection regulations. Our latest audit report is available upon request.
Responsible AI
How we use artificial intelligence
AI is a tool, not a replacement for judgment. Here is how we use it and where we draw boundaries.
What AI does in our system
Pattern recognition
AI helps identify patterns across large datasets that would be impractical to analyze manually.
Data aggregation
AI consolidates information from multiple verified sources into coherent profiles.
Anomaly detection
AI flags inconsistencies that warrant human review, improving the efficiency of our verification process.
What AI does not do
Make final determinations
AI produces scores and recommendations. Humans make final decisions on consequential matters.
Access data beyond scope
Our AI systems only process data relevant to the specific verification request.
Train on your data
Customer data is not used to train our AI models. Your information stays yours.
Transparency & Accountability
We explain our work
A trust company that hides its methods is a contradiction. Here is how we hold ourselves accountable.
Clear documentation
Our methodology documentation explains how we calculate trust scores, what data sources we use, and how different factors are weighted. No proprietary black boxes.
Incident disclosure
If we experience a security incident that affects your data, we will notify you within 72 hours with a clear explanation of what happened and what we are doing about it.
Dispute process
If you believe a trust assessment is inaccurate, you can request a review. We will explain our reasoning and correct errors when they occur.
Our Commitments
What we will never do with your data
Some things are not negotiable. These commitments are built into our contracts, our systems, and our culture.
Sell your data to third parties
Your data is not a product. We do not sell, rent, or trade customer information to advertisers, data brokers, or anyone else.
Use your data for unrelated purposes
Data collected for verification stays within that context. We do not repurpose your information for marketing, profiling, or other unrelated activities.
Train AI models on customer data
Your queries and data are not used to improve our AI systems. Model training happens on separate, anonymized datasets.
Share data with government agencies without legal process
We require valid legal process (subpoena, court order, or warrant) before disclosing customer data to any government entity. We notify affected customers when legally permitted.
Retain data longer than necessary
When data is no longer needed for the service you requested, we delete it. We do not keep information indefinitely 'just in case.'
Make claims we cannot verify
If we are uncertain about a data point, we say so. We do not present speculation as fact or inflate confidence scores to appear more accurate than we are.
Have questions about our practices?
trust@trustiq.com