The Dark Side of AI
Artificial intelligence is rapidly transforming the real estate and housing finance ecosystem. Across the industry, AI is often portrayed as a breakthrough, promising faster closings, smarter workflows and more responsive customer service. Title and settlement companies have already embraced these tools to improve margins, streamline operations and reduce manual workload. Adoption continues to grow as there are 500 to 600 million users of AI tools daily, according to Menlo Ventures.
But with that innovation comes risk, especially for title and banking as high-value transactions and sensitive data make these industries prime targets for sophisticated attacks. AI’s rise has empowered not only defenders, but also bad actors. As the CrowdStrike 2025 Global Threat Report shows, adversaries are weaponizing generative AI and related techniques to scale cyberattacks, automate deception and expand into sophisticated social engineering tactics such as voice phishing (vishing), AI-generated impersonation and credential theft.
For the title industry—where legal certainty, consumer protection and accurate assessment of title risk matter—these developments represent a cautionary tale. AI can be powerful, but unchecked or misapplied AI introduces risks that can undermine both underwriting and consumer trust.
The Problem With AI Confidence
Modern AI tools are designed to sound authoritative. They generate polished outputs, neat summaries and confident conclusions. That outward certainty can mask serious gaps in understanding.
Shawn Fox, chief revenue officer of Premier One, explained AI’s greatest risk in title operations isn’t that it occasionally errs—but that it can present plausible-sounding answers that are wrong or incomplete.
“AI can give you an answer that sounds right and feels complete,” Fox said. “But that doesn’t mean it’s correct or that it captures the legal reality of the transaction.”
That distinction is vital. Title professionals don’t seek likely outcomes or probability scores. They must affirm with legal certainty who owns property, whether liens are proper and whether past defects have been resolved. In that context, smooth language is not a substitute for accurate legal assessment. Everyday risks title companies face include:
- Wire Fraud and Phishing: AI-generated emails that perfectly mimic legitimate communications, targeting high-value wire transfers with devastating accuracy.
- Seller Impersonation Fraud: Fraudsters leveraging AI to create fake identities, forge documents and impersonate property owners in transactions.
- Social Engineering Scams: Sophisticated manipulation tactics enhanced by AI research and personalization capabilities.
- Internal AI Misuse: Staff using AI tools improperly for sensitive content, creating compliance risks and potential data breaches.
- Quality Control Failures: Overreliance on AIgenerated work without proper human oversight leading to critical errors in documentation.
Fox said wire fraud risk has increased because advanced language models can create perfectly written emails that pass traditional spam filters and human skepticism. Fraudsters can now clone voices from just a few seconds of audio, impersonating escrow officers and closing agents. In addition, AI translation tools allow international crime rings to target English-speaking markets with unprecedented accuracy.
“A fraudster used voice cloning to impersonate a closing officer, calling clients to ‘confirm’ wire instructions that diverted $485,000 to an offshore account,” Fox said.
Cyber Threats Are Using AI Against Industry Weaknesses
The CrowdStrike report underscores how adversaries are weaponizing AI for identity-based attack strategies. A 442% increase in vishing attacks fueled by generative AI were observed between the first and second halves of 2024, as attackers crafted more convincing impersonations and psychological manipulation to trick users into giving up credentials.
AI’s low barrier to entry means even unsophisticated criminals can use it to generate malicious content or impersonate trusted individuals.
For example:
- Attackers use generative models to create fake business emails and phishing campaigns that mimic legitimate communications.
- AI-generated social engineering increase the scale and effectiveness of identity compromise.
- Malware-free attacks, bypassing traditional antivirus defenses, account for nearly 80% of initial access attempts by adversaries in 2024.
Fraudsters leveraging AI to create fake identities, forge documents and impersonate property owners in transactions.
“These trends matter for title insurance agents because many fraud schemes—whether in closing communications, identity verification or document submission—rely on deception and impersonation, not overt hacking,” said Jonathan Holfinger OLTP, NTP, CEO of Ohio-based Northwest Title. “AI-generated content can make forged identities and fake documents far more convincing.”
Holfinger shared a recent example of a sophisticated fraud ring that targeted a major title company. The criminals used publicly available audio from the company’s marketing videos to create a voice clone of the senior closing officer. Then they called the buyers 24 hours before closing, perfectly mimicking the officer’s voice and mannerisms. The fraudsters provided “updated” wire instructions due to a “bank routing issue,” directing funds to an account in the Cayman Islands. The funds were diverted across three transactions before the scheme was discovered. Recovery efforts failed due to rapid international transfers resulting in over $2 million in losses.
The lesson, according to Holfinger, is that merely telling a buyer to “call before you wire” isn’t enough. With voice cloning and caller ID spoofing, buyers must be clearly told not to trust any future communication in regard to wire instructions, and that they will never change from the ID-verified document downloaded from the company’s portal, Holfinger added.