Secure from the start
Security and privacy are considered while features are being designed, not only after development is complete.
SECURITY AT K SCAN AI
Security is built into how we develop K Scan AI
K Scan AI can involve personal accounts, uploaded images, scan results, saved products, shared Dressing Rooms, and AI conversations. Protecting that information is part of how we design, build, test, release, and operate the app.
We use layered security controls, regular production reviews, secure development practices, access restrictions, monitoring, and a documented vulnerability response process.
No online service can promise perfect security. Our responsibility is to reduce risk, respond carefully when concerns are identified, and continue strengthening the protections around K Scan AI.
OUR PRINCIPLES
Protection with purpose
Protection in layers
We combine authentication, authorization, encryption, validation, monitoring, testing, and recovery planning instead of relying on one control.
Access with a purpose
People and systems should only have access to the information needed to perform an approved function.
Continuous review
We review production security every week and update our controls as the app, infrastructure, and threat environment change.
Security across the entire app
Security at K Scan AI is not a single feature. It includes product design, application code, backend services, cloud infrastructure, access controls, release checks, monitoring, and incident response.
Our security work focuses on the parts of the app where a failure could affect users, including accounts, uploaded images, scan results, saved products, Style Library content, Dressing Rooms, shared links, messages, Elise conversations, cloud services, and administrative access.
01
Prevent
Build controls that reduce the chance of unauthorized access, unsafe changes, or misuse.
02
Detect
Use scans, testing, logs, audits, and monitoring to identify unexpected behavior.
03
Contain
Restrict access, revoke credentials, or disable affected features when immediate protection is needed.
04
Recover
Correct the issue, validate the correction, and safely restore normal operation.
05
Improve
Use audit findings and security incidents to strengthen future releases.
DEVELOPMENT AND RELEASE
Security checks before every app update
Security review is part of the K Scan AI development and release process.
All app updates go through pre-push security scans before code is pushed to the shared repository. These checks are designed to identify known vulnerabilities, exposed secrets, unsafe dependencies, and other security concerns before the change moves forward.
Code changes are also reviewed for security issues related to the feature being modified. Changes involving accounts, images, shared content, authentication, account deletion, backend permissions, or AI processing receive additional attention.
✓Pre-push security scans on all app updates
✓Secret and credential exposure checks
✓Dependency vulnerability checks
✓Authentication and authorization review
✓User account separation checks
✓Input validation review
✓Session and token handling review
✓Logging and privacy review
✓Shared link access review
✓AI data access boundary review
✓Unit testing
✓Integration testing
✓Release blocking for confirmed high risk findings
A confirmed security concern can pause or delay a release. Protecting users takes priority over releasing a feature on a specific date.
SECURITY ROADMAP
Continuing to strengthen K Scan AI
Our security program continues to develop as K Scan AI moves through testing, public beta, and future growth.
Stronger account protection
Improving authentication, session controls, account recovery, and suspicious activity detection.
Expanded automated testing
Adding more automated checks for authorization, account separation, unsafe input, dependency risks, secret exposure, and AI access boundaries.
Release security
Continuing to strengthen pre-push scanning, code review, integration testing, and release blocking for confirmed security issues.
Better monitoring
Expanding production visibility and alerts for important security and service events.
Image privacy
Continuing to improve how user images are accessed, processed, retained, shared, and protected.
Incident readiness
Testing response procedures and keeping security responsibilities, communication paths, and recovery actions current.
Provider review
Improving how outside services are evaluated, documented, limited, and monitored.
Independent review
Preparing for more formal outside security reviews as the product and security program mature.
We will update this page as improvements are completed and verified.
FREQUENTLY ASKED QUESTIONS
Clear answers, ongoing work
Is K Scan AI completely secure?
No online service can truthfully guarantee complete security. K Scan AI uses multiple layers of protection and continues to test and improve them.
Is information encrypted?
Information sent between a device and K Scan AI services is protected through encrypted connections such as HTTPS and TLS. Stored information is protected through managed cloud security, encryption, access controls, database rules, and private storage controls.
Can another user see my scans or Dressing Rooms?
K Scan AI uses authentication, ownership checks, authorization rules, and database controls designed to keep user information separated. Content is shared only when a user chooses to use an available sharing feature.
Are uploaded images public?
Images are not intended to become public simply because they are uploaded or scanned. Users may choose to share specific content through supported links, invitations, or collaboration features.
Does K Scan AI review every app update?
All app updates go through pre-push security scans before code is pushed to the shared repository. Code changes are also reviewed for security issues related to the feature being modified.
How often are production security audits performed?
K Scan AI performs production security audits every week across authentication, backup and recovery, encryption, request limiting, logging, dependencies, sessions, input validation, monitoring, and AI access boundaries.
What happens when a vulnerability is reported?
We document the report, review the evidence, assess the possible impact, protect users from immediate risk, investigate the cause, correct the issue, test the correction, and monitor for recurrence.
Does K Scan AI claim security certifications?
K Scan AI does not claim certifications that have not been completed and verified. This page will be updated when formal reviews or certifications are completed.
SECURITY COMMUNITY
Help us protect the K Scan AI community
Responsible security reports help us protect users, improve the app, and prevent future problems.
Security protections, processes, and product features may change as K Scan AI develops. This page will be updated when material improvements to our verified security program are completed.
Effective and last updated: July 25, 2026