Trust & Safety

Trust is infrastructure, not decoration.

Campus Vale combines independent risk signals with human review. No single AI detector, photo score, or verification vendor should make a consequential fraud decision by itself.

Layered defense

One listing. Multiple independent checks.

Each layer reduces a different kind of marketplace risk, then feeds a structured human review workflow when combined signals warrant it.

Provider identity
Property address
Image authenticity
Device behavior
Risk Management
4Independent signal layers
24/7System monitoring target
1Human review queue
0Single-tool verdicts

Provider verification

Identity, business, and authority checks before meaningful verified status appears.

Prevent impersonation

Address & property checks

Normalize addresses, validate geography, compare property records, and route mismatches.

Detect nonexistent inventory

Image authenticity

Perceptual hashing, duplicate detection, AI-image analysis, provenance signals, and human review.

Flag synthetic or stolen media

Device & account risk

Detect suspicious logins, account takeover, automation, and repeated risky identifiers.

Spot coordinated abuse

Risk Management Console

Aggregate RiskSignals into cases with evidence, severity, analyst ownership, and audited resolution.

Human decision layer

Student reporting

Report fraudulent listings, inaccurate costs, discriminatory content, unsafe behavior, or suspicious payments.

Community detection

AI-image detection is a signal—not a verdict.

Campus Vale should combine image analysis with duplicate-photo matching, address/property verification, provider identity, behavioral risk, and human investigation before consequential enforcement.

Something looks wrong?

Students and providers should always have a visible path to report suspicious activity, misleading costs, fake inventory, or unsafe behavior.

Report a concern