Fraud prevention is becoming table stakes for a lot of real-estate software stacks, but are you sure you’re getting what you paid for?
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Arpitha Gadag
4 minutes
Fraud Prevention
Jul 22, 2026
Jul 23, 2026
Imagine you’re at your doctor’s office, concerned about a serious issue. They slide your MRI and test panel across the desk, point out a few elevated markers, and say “the data is all here, let me know how to proceed,” leaving the interpretation, decision, and next steps all on you.
How would you feel?
For a lot of title companies today, the fraud tools they bought are doing something similar for every transaction they vet: they piece together a set of complex signals (“this part is safe,” or “this is a little fuzzy”), and provide the findings back to the escrow officer to make the judgement call. A team member juggling multiple closings, follow-ups, and relationships must now interpret the findings and decide whether a transaction is safe. If something goes wrong, their own insurance probably excludes wire fraud as a covered event.
That’s not clarity and support. That’s noise and added pressure.
Now you have to make a decision. And for most title operators, that decision will be a conservative one: disqualify the identity and put the whole closing on pause. Your fraud deterrence plan is now actively slowing business down and creating more work than before. Compare that to the alterative route: decide to be aggressive and do whatever it takes to get their clients to the closing table—and inadvertently give a fraudster access to everything in the deal.
The answer is simple. You want it to interpret the signals for you and hand back a clear and concise decision you can act on, not a folder of findings you have to sort out yourself.
Think about our earlier analogy: The doctor who slides the panel across the desk and steps back has not treated you. A fraud tool that returns a list of signals and steps back has done the same thing.
Creating a safe environment for closings to operate in depends on clarity. Teams benefit when their fraud tools provide:
Building a resilient, efficient closing engine is key for your growth, but growth cannot come at the expense of order volume and team member time. You need support, not more data.
Findings are an input. A decision is the output. A strong system weighs every signal, returns one clear status, and stands behind that status with its own backup protection.
When the provider insures the decision, the liability moves to them, and your escrow officer stops carrying a call they were never equipped to make. Make sure you are getting:
Ask your provider: does your tool make the call and back it, or hand you the evidence and the risk?
The cost of a wrong call is growing not abstract. Real estate fraud losses climbed to $275.1 million in 2025, up from about $173 million in 2024, across 12,368 complaints. Every one of those started with someone acting on information they could not fully verify.
A driver's license and a selfie can both be generated by AI. What cannot be faked is the record behind them. Strong verification checks a person against authoritative sources, not against a picture they uploaded. Inspecting an image tells you it looks real. Verifying the record against databases with authority tells you it is.
Be sure to understand if your current process handles verification with:
Ask your provider: is each identity validated against authoritative data, or only inspected as an image?
This is not a rare edge case. 28% of title companies faced at least one seller impersonation attempt in a single year. And the fraudsters were not using crude fakes. They used the real owner's Social Security and driver's license numbers. A document that looks right on screen can still be built on stolen, authentic data. Only a check against the record catches that.
Automated decisioning is fast. Edge cases still happen, and human error should be easily resolved, not throw a false alert. The question that matters is who resolves them.
In a weak setup, an unclear result drops back onto the escrow officer. In a strong one, a trained trust and safety team reviews the file and moves it to a final status, often clearing a file the system could not resolve on its own. A supportive solution provides:
Ask your provider: when a result is unclear or data is missing, who resolves it, their team or yours?
Most fraud tools treat an unresolved check as your problem to chase. The better model treats it as theirs. When a file cannot clear on its own, a review team gathers what is missing and works it to a final status, so a solvable edge case never becomes a stalled closing.
No fraud deterrence system is 100% effective, and fraud can still reach a file that never ran through a verified decision. When money is diverted, speed decides whether it comes back. Here is the part most providers gloss over: the recovery mechanics are the same everywhere. The difference is not a secret method or a magic success rate, it’s relationships. Be sure your fraud solution is backed by:
Ask your provider: if funds are diverted, do they have standing relationships with the Secret Service and the banks, or are they dialing a field office cold?
Most title companies do not have that response sitting ready, and the middle of a crisis is the worst time to build one. A dedicated recovery team changes the math. The moment fraud is reported, they move: engaging the banks, pursuing the recall, and working with law enforcement to trace and freeze the funds. You are not left running an unfamiliar playbook under pressure. Someone who runs it every day is already on it.
Fraud does not hold still. Deepfake IDs, synthetic identities, and SIM-swap attacks get cheaper and more convincing every quarter. A control that was enough last year can be blind today. Staying ahead takes two things: monitoring that runs across the whole file, and a provider that adds new controls as new attacks appear. The data behind a fraud engine matters. Look for:
Ask your provider: how has their fraud prevention changed in the last twelve months?
The numbers back this up. For the first time, the FBI's 2025 Internet Crime Report broke out AI-enabled crime as its own category, logging 22,364 AI-related complaints and $893 million in losses. The tools that forge an identity, clone a voice, or fake a document are getting cheaper and more convincing every quarter.
Fraud deterrence should live inside the workflow your team already uses. If it is an extra screen or a separate step, it becomes the step that gets skipped on a busy day. The best protection is the kind your team barely notices: it fits into your existing title production system instead of replacing it, and goes live in days, not a months-long migration. A tool that checks all five boxes only helps if your team will actually use it.
Director of Fraud & Risk Products
Arpitha is a seasoned product leader with nearly a decade of experience in fraud prevention and digital identity verification. She has a proven track record of scaling products from 0 to 1 across startups and Fortune 500 companies alike. Driven by a deep commitment to access and equity, Arpitha is passionate about building inclusive digital identity experiences that empower individuals to engage confidently with the products they love, while stopping fraudsters in their tracks.
Imagine you’re at your doctor’s office, concerned about a serious issue. They slide your MRI and test panel across the desk, point out a few elevated markers, and say “the data is all here, let me know how to proceed,” leaving the interpretation, decision, and next steps all on you.
How would you feel?
For a lot of title companies today, the fraud tools they bought are doing something similar for every transaction they vet: they piece together a set of complex signals (“this part is safe,” or “this is a little fuzzy”), and provide the findings back to the escrow officer to make the judgement call. A team member juggling multiple closings, follow-ups, and relationships must now interpret the findings and decide whether a transaction is safe. If something goes wrong, their own insurance probably excludes wire fraud as a covered event.
That’s not clarity and support. That’s noise and added pressure.
Now you have to make a decision. And for most title operators, that decision will be a conservative one: disqualify the identity and put the whole closing on pause. Your fraud deterrence plan is now actively slowing business down and creating more work than before. Compare that to the alterative route: decide to be aggressive and do whatever it takes to get their clients to the closing table—and inadvertently give a fraudster access to everything in the deal.
The answer is simple. You want it to interpret the signals for you and hand back a clear and concise decision you can act on, not a folder of findings you have to sort out yourself.
Think about our earlier analogy: The doctor who slides the panel across the desk and steps back has not treated you. A fraud tool that returns a list of signals and steps back has done the same thing.
Creating a safe environment for closings to operate in depends on clarity. Teams benefit when their fraud tools provide:
Building a resilient, efficient closing engine is key for your growth, but growth cannot come at the expense of order volume and team member time. You need support, not more data.
Findings are an input. A decision is the output. A strong system weighs every signal, returns one clear status, and stands behind that status with its own backup protection.
When the provider insures the decision, the liability moves to them, and your escrow officer stops carrying a call they were never equipped to make. Make sure you are getting:
Ask your provider: does your tool make the call and back it, or hand you the evidence and the risk?
The cost of a wrong call is growing not abstract. Real estate fraud losses climbed to $275.1 million in 2025, up from about $173 million in 2024, across 12,368 complaints. Every one of those started with someone acting on information they could not fully verify.
A driver's license and a selfie can both be generated by AI. What cannot be faked is the record behind them. Strong verification checks a person against authoritative sources, not against a picture they uploaded. Inspecting an image tells you it looks real. Verifying the record against databases with authority tells you it is.
Be sure to understand if your current process handles verification with:
Ask your provider: is each identity validated against authoritative data, or only inspected as an image?
This is not a rare edge case. 28% of title companies faced at least one seller impersonation attempt in a single year. And the fraudsters were not using crude fakes. They used the real owner's Social Security and driver's license numbers. A document that looks right on screen can still be built on stolen, authentic data. Only a check against the record catches that.
Automated decisioning is fast. Edge cases still happen, and human error should be easily resolved, not throw a false alert. The question that matters is who resolves them.
In a weak setup, an unclear result drops back onto the escrow officer. In a strong one, a trained trust and safety team reviews the file and moves it to a final status, often clearing a file the system could not resolve on its own. A supportive solution provides:
Ask your provider: when a result is unclear or data is missing, who resolves it, their team or yours?
Most fraud tools treat an unresolved check as your problem to chase. The better model treats it as theirs. When a file cannot clear on its own, a review team gathers what is missing and works it to a final status, so a solvable edge case never becomes a stalled closing.
No fraud deterrence system is 100% effective, and fraud can still reach a file that never ran through a verified decision. When money is diverted, speed decides whether it comes back. Here is the part most providers gloss over: the recovery mechanics are the same everywhere. The difference is not a secret method or a magic success rate, it’s relationships. Be sure your fraud solution is backed by:
Ask your provider: if funds are diverted, do they have standing relationships with the Secret Service and the banks, or are they dialing a field office cold?
Most title companies do not have that response sitting ready, and the middle of a crisis is the worst time to build one. A dedicated recovery team changes the math. The moment fraud is reported, they move: engaging the banks, pursuing the recall, and working with law enforcement to trace and freeze the funds. You are not left running an unfamiliar playbook under pressure. Someone who runs it every day is already on it.
Fraud does not hold still. Deepfake IDs, synthetic identities, and SIM-swap attacks get cheaper and more convincing every quarter. A control that was enough last year can be blind today. Staying ahead takes two things: monitoring that runs across the whole file, and a provider that adds new controls as new attacks appear. The data behind a fraud engine matters. Look for:
Ask your provider: how has their fraud prevention changed in the last twelve months?
The numbers back this up. For the first time, the FBI's 2025 Internet Crime Report broke out AI-enabled crime as its own category, logging 22,364 AI-related complaints and $893 million in losses. The tools that forge an identity, clone a voice, or fake a document are getting cheaper and more convincing every quarter.
Fraud deterrence should live inside the workflow your team already uses. If it is an extra screen or a separate step, it becomes the step that gets skipped on a busy day. The best protection is the kind your team barely notices: it fits into your existing title production system instead of replacing it, and goes live in days, not a months-long migration. A tool that checks all five boxes only helps if your team will actually use it.
Director of Fraud & Risk Products
Arpitha is a seasoned product leader with nearly a decade of experience in fraud prevention and digital identity verification. She has a proven track record of scaling products from 0 to 1 across startups and Fortune 500 companies alike. Driven by a deep commitment to access and equity, Arpitha is passionate about building inclusive digital identity experiences that empower individuals to engage confidently with the products they love, while stopping fraudsters in their tracks.