Carrier Identity Is Becoming a Data Problem: How RMIS, Descartes MyCarrierPortal and Highway Are Exposing Freight Fraud

Jul 15
8 min read

Updated: Aug 5

The next generation of carrier vetting is not a single database check. It is continuous identity resolution across authority, insurance, equipment, geography, devices and transaction behavior.

By Eli'sha E. Petite Sr., TRS, CPIA | President & CEO, ASE Insurance Agency LLC DBA TheTruckersInsurance.com

Industry Insite | Current through August 2, 2026

Freight fraud used to look like bad paperwork. Today it often looks like a legitimate carrier. The authority is active. The certificate appears valid. The email signature is professional. The person on the phone understands the lane. By the time the identity gap becomes visible, the cargo or payment may already be gone.

That is why carrier verification is moving from document collection to identity resolution. Platforms such as Truckstop’s RMIS ecosystem, Assure Assist’s MyCarrierPortal—acquired by Descartes in 2024—and Highway are combining public records, proprietary network data, insurance information, equipment history, device behavior and geospatial patterns. Some layers use artificial intelligence or anomaly detection; others use rules, verification workflows and continuous monitoring. The value comes from the combination.

The Six-Month Pattern Is a Signal, Not a Verdict

One of the patterns receiving attention is a carrier authority that is created or acquired, remains quiet for several months and then shows an abrupt increase in load-booking activity. Highway’s public guidance identifies a dormant carrier that suddenly reactivates after two to six months as a red flag, especially when the change appears alongside a new insurance producer, a VIN mismatch, altered contact information, unfamiliar login locations or urgency around payment and dispatch.

The pattern can fit a fraudulent strategy: age the authority until it looks established, purchase or compromise an existing identity, then exploit the credential before the market catches up. It can also have an innocent explanation—a seasonal operation, delayed equipment purchase, financing issue, ownership transition or customer launch. The correct response is enhanced verification, not automatic rejection.

Chameleon Carriers Are an Identity-Linkage Problem

The Government Accountability Office has long defined chameleon carriers as entities that assume a new identity to disguise an earlier carrier and evade FMCSA enforcement. The challenge is that legitimate businesses also reorganize, relocate, transfer ownership or operate related entities. A shared address, phone number or manager is not enough by itself.

Modern systems look for clusters: repeated phone or email infrastructure, matching equipment, common VINs, shared addresses, overlapping personnel, inspection geography, insurance-producer changes, device fingerprints and authority history. Artificial intelligence is useful because the question is rarely whether one field is wrong. The question is whether dozens of individually plausible fields form an implausible pattern.

RMIS and the Truckstop Data Layer

RMIS carrier onboarding combines credential collection with identity and compliance controls. Truckstop states that the workflow can automatically block suspicious IP addresses, require an RMIS identifier and ZIP code, send an email verification code, flag contact-information differences against DOT data, apply multifactor authentication and compare a real-time selfie with government-issued identification.

Truckstop’s broader Risk Factors product analyzes signals from proprietary, licensed and public data, including RMIS and FMCSA sources. Public product materials describe analysis of VoIP, VIN, IP-address behavior, sender identity and inspection data. Truckstop also has disclosed investment in AI-related anomaly detection designed to identify carrier and broker fraud.

The important governance point appears in Truckstop’s own materials: a risk factor does not decide whether a broker should hire a carrier. It identifies context for additional diligence. That principle should be written into every carrier-selection policy using automated scores.

Assure Assist, MyCarrierPortal and the Descartes Network

Assure Assist operated MyCarrierPortal and related MyCarrierPackets services before Descartes acquired the company in September 2024. Descartes describes the platform as a carrier-onboarding and risk-monitoring solution that screens for legitimacy, insurance compliance and safety, then monitors the relationship for ongoing compliance.

The platform’s public materials describe DOT validation, W-9 checks, identity verification for drivers and vehicles, customizable risk assessments, insurance monitoring and access to incident or fraud reports. Integrated with Descartes MacroPoint, it can add real-time visibility and ELD connectivity.

Descartes MacroPoint FraudGuard 2.0 extends the review into the shipment lifecycle. Descartes says it monitors for GPS and IP-location spoofing, route deviations, improbable travel patterns and unusual vehicle stops. That matters because a carrier can pass onboarding and still present a different risk at pickup or in transit.

Highway and Geospatial Carrier Identity

Highway’s model centers on Carrier Identity: who owns or controls the authority, who is communicating with the broker, which equipment is associated with the fleet and whether the carrier’s observed operating pattern fits the load being tendered. Highway publicly describes rightful-owner validation, dispatch-service detection, automated compliance and continuous monitoring.

Its Lane Certainty geospatial algorithm analyzes millions of carrier data points to evaluate lane and equipment fit. Highway also states that it manages certificates of insurance, tracks scheduled-auto policies by VIN and provides information on equipment types, fleet analytics, lanes and locations. These capabilities can produce map- or heat-map-style views of where a carrier appears to operate and whether that geography is consistent with the declared operation.

That geospatial comparison is particularly useful against identity takeover. A carrier historically operating in one region and equipment class may warrant review when its digital activity, load requests or inspected equipment suddenly appears across distant markets without a corresponding operational explanation.

How an “Unscheduled Truck” Exposure Becomes Visible

Consider a carrier whose automobile policy is written on a scheduled-auto basis. A roadside inspection, equipment record or verified pickup identifies a VIN. The verification platform compares that VIN with scheduled-auto data or the insurance information it has obtained. If the unit does not appear, the system can flag a discrepancy for review.

The discrepancy is important, but it is not conclusive proof that the vehicle is uninsured. The policy may include Any Auto coverage, newly acquired auto provisions, a reporting form, hired or leased equipment, temporary substitute treatment, blanket arrangements, or a recent endorsement that has not yet reached the data provider. Conversely, the missing VIN may reflect an undisclosed unit, an altered certificate, a policy that does not cover the actual equipment or the use of another carrier’s identity.

Coverage rule: A certificate or binder can evidence insurance information, but it does not replace the policy. Only the insurer, applying the actual policy language and facts, can make a coverage determination.

The Compliance Triangle: FMCSA, Insurance and Marketplace Behavior

No single participant holds the complete picture. FMCSA data can show registration, authority, safety information, roadside inspections, reported crashes and required financial-responsibility filings. FMCSA’s Licensing and Insurance system confirms the filing status, but it does not provide the complete commercial auto policy or a universal list of scheduled vehicles.

The insurer and insurance agent possess different information: the application, underwriting representations, policy, binder, endorsements, scheduled drivers and autos, commodities, garaging, radius and loss history. A certificate provided to a platform may confirm key limits and dates, but it does not necessarily reveal every coverage condition.

The marketplace generates the third layer: load searches, booking velocity, lane requests, pickup locations, IP and device activity, ELD or tracking behavior, payment changes, incident reports and broker experience. AI is most powerful when it finds contradictions among these layers.

What the Technology Can Reveal

Authority continuity risk.
A new or reactivated entity shares equipment, contacts or operational fingerprints with an out-of-service or poorly performing carrier.
Identity compromise.
The email, phone, IP address, login geography or dispatch contact does not match the verified carrier identity.
Insurance inconsistency.
The producer changed unexpectedly, a VIN is absent, a certificate conflicts with the policy data available to the platform, or coverage falls outside the broker’s requirements.
Operational inconsistency.
Observed lanes, inspections, equipment or pickup behavior do not align with the carrier’s stated fleet, radius, specialization or historical footprint.
In-transit anomaly.
Location data indicates spoofing, impossible movement, route deviation or an unusual stop that warrants immediate intervention.

The Insurance Agent’s Role Is Expanding

The agent should not become a private investigator or declare a client fraudulent based on a platform score. The agent’s role is to reconcile material facts. When credible data suggests an undisclosed vehicle, driver, commodity, garaging location, lease arrangement or radius, the agent should ask documented questions, compare the answer with the application and policy, and notify the insurer when required.

That process protects every participant. The motor carrier avoids a surprise coverage dispute. The insurer receives the information needed to price the actual exposure. The broker receives more reliable compliance data. The agent preserves trust by correcting the record rather than merely issuing another certificate.

Data sharing must also be governed. Fleet location, driver identity and equipment records are sensitive. Brokers, platforms, carriers, agents and insurers should define permitted use, retention, correction procedures, appeal rights and escalation standards. An algorithm that cannot be challenged can turn an inaccurate record into a market-wide exclusion.

A Practical Control Plan for Motor Carriers

1. Protect the authority.

Use multifactor authentication, secure the company email domain, limit portal access and respond immediately to unauthorized FMCSA, insurance or banking changes.

2. Keep the public record current.

Maintain accurate MCS-150, business, address and contact information. Review FMCSA and platform profiles routinely rather than waiting for a broker to identify an inconsistency.

3. Reconcile equipment monthly.

Compare registrations, cab cards, lease agreements, ELD units, roadside inspections, scheduled autos and physical inventory. Resolve VIN and ownership discrepancies before dispatch.

4. Notify the agent before the truck works.

An endorsement request after a load is booked may be too late. New, leased or replacement equipment should be reviewed under the actual policy before it enters service.

5. Preserve operational proof.

Maintain contracts, leases, driver files, dispatch records, pickup verification, ELD data and photos that establish who controlled the equipment and who hauled the load.

6. Challenge inaccurate risk signals.

Use platform correction and appeal channels. A legitimate carrier should not allow incorrect identity, insurance or incident data to harden into a permanent reputation record.

The Bottom Line

Carrier trust is no longer a one-time onboarding event. It is a continuously updated relationship among identity, authority, insurance, equipment and behavior. RMIS, Descartes MyCarrierPortal and Highway approach the problem differently, but all reflect the same industry shift: a PDF carrier packet cannot defend a real-time freight network.

AI and advanced analytics can identify patterns that a human reviewer would never see at market speed. They can also produce false positives when data is stale or a legitimate operation changes. The winning model combines automated detection with documented human review, carrier due process, insurer confirmation and an insurance agent who understands how the motor carrier actually operates.

Protection beyond the policy. The Truckers Insurance helps motor carriers and freight businesses reconcile equipment, operating authority, compliance obligations and insurance records before a data mismatch threatens coverage or access to freight.