Property Shield Logo

Real Estate Threat Intelligence & Market Risk

Explore real estate fraud and security risk from a market-level perspective. This section covers emerging threat patterns, geographic risk trends, and why isolated or reactive approaches fail—helping operators, MLSs, and associations stay ahead of evolving threats.

Isometric illustration of an MLS data network connected to a listing, an agent credential, and a symbol of ethical responsibility.

MLS Consumer Protection Responsibility: How to turn an ethical duty into a business advantage

MLS consumer protection responsibility isn't just a legal question. It's an ethical duty and a business advantage for agents, consumers, and members alike.

Isometric illustration of a person icon linked to a property icon with a warning symbol between them, representing seller impersonation caught before a listing goes live.

Seller Impersonation in Real Estate: What Agents Are Already Asking For

Seller impersonation in real estate is outpacing manual checks. See why agents want verification built into the listing itself, not another warning.

AI Real Estate Fraud: How Generative AI Changed the Threat Model

AI Real Estate Fraud: How Generative AI Changed the Threat Model

AI real estate fraud is rising fast. IC3 2025 data shows $275M in losses and 12,368 complaints. Here's how generative AI changed the threat model and why fraud detection automation is the response.

Isometric bar chart illustration showing rising then falling navy and white columns with an amber warning sign at the transition point, representing the relationship between market cycles and real estate fraud exposure.

How Economic Conditions Affect Real Estate Fraud Numbers

FBI IC3 data shows real estate fraud losses swung from $397M in 2022 to $275M in 2025 — a 59% spike in a single year. Here's what the numbers reveal about how market conditions shape fraud exposure for SFR and MFR operators.