Introducing a Cost to
Automated Identity Abuse.

Generative automation has reduced the marginal cost of creating fake accounts to near zero.

Invariant introduces a hardware-backed verification step that cannot be reproduced by emulators or scripts, allowing platforms to distinguish physical devices from automated infrastructure before incurring KYC or fraud costs.

High Automation Risk

Significant portions of signup traffic can be automated in unprotected flows.

Zero Marginal Cost

Software-based identity checks have near-zero marginal attack cost for adversaries.

Fraud Cost Externalization

Automated accounts consume referral budgets, customer support time, and compliance resources. By filtering non-hardware-backed devices upstream, Invariant reduces the volume of low-quality accounts entering downstream systems.

Device-Level Verification

Invariant relies on cryptographic properties of the device rather than user documents or behavioral inference. This allows platforms to apply a consistent integrity signal across regions without collecting additional personal data.

Minimal Data Surface

Invariant does not collect biometric data, identity documents, or behavioral profiles. Verification is based on cryptographic attestations generated inside secure hardware, reducing data retention and breach risk.

Verification Methodology

Legacy Identity Checks

Invariant Device Verification

Document- or behavior-based

Hardware-backed cryptographic attestation

Susceptible to automation

Not reproducible by emulators

High user friction (Active)

Background verification (Passive)

Centralized PII storage

No PII collected or stored

Evaluate Device-Level Fraud Signals.

Run Invariant in "Shadow Mode" alongside your existing onboarding flow. After 30 days, compare our device classifications against your internal fraud outcomes.