Johns Hopkins APL
AI-AR guided diagnostic system
jhuapl.eduEnterprise evidence
Insufficient enterprise evidencePublic information covers auditability. Still unresolved: security assurance, sso & provisioning, access controls.
4 official sources · Fresh page review · Not independently tested
Sources reviewed 2026-11-02
1 / 7 areas with published evidence · 0 independently verified
Evidence & checks
Security assuranceNot found
Before relying on it
Request the current audit report, scope, exceptions and expiry; confirm the vendor entity.
SSO & provisioningNot found
Before relying on it
Test SSO enforcement, user removal and privileged-account recovery.
Access controlsNot found
Before relying on it
Test least-privilege roles and cross-tenant access with separate test accounts.
AuditabilityCompany-published
PE.L1-b.1.ix-[c] Audit logs of physical access areReviewed 2026-11-02View source
Before relying on it
Verify administrative and data-access events, retention and export.
Data handlingNot found
Before relying on it
Review DPA, subprocessors, retention, deletion, residency and AI training use.
Reliability & supportNot found
Before relying on it
Request SLA, incident history, recovery targets and support escalation terms.
Product effectivenessNot found
Before relying on it
Run a representative pilot against your current workflow; measure errors, missed cases, time saved and human review cost.
Published claims are not verified controls. No hands-on performance or security testing has been performed.
What we know
The Johns Hopkins Applied Physics Laboratory developed an AI- and AR-enabled system designed to guide non-experts through complex electronic repairs in resource-constrained environments.
Worth asking
What are the scalability limits for applying this military-grade diagnostic model to commercial consumer electronics?
Sources
- Johns Hopkins University Applied Physics Laboratoryjhuapl.edu
- SIMPLE EXPLANATION OF LEVEL 1 OBJECTIVEwww.jhuapl.edu
- Cybersecurity Information for Suppliers | Johns Hopkins University Applied Physics Laboratorywww.jhuapl.edu
- CMMC Resources | Johns Hopkins University Applied Physics Laboratorywww.jhuapl.edu
- AI/AR-Guided Electronic Repair | Johns Hopkins University Applied Physics Laboratorywww.jhuapl.edu
Evidence details
Enterprise controls
Enterprise claims found; security controls are unconfirmed.
Developer access
API availability has not been verified.
Last checked Nov 2, 2026
Company-published evidence, not an independent audit. Unknown means unverified.