What 2025 Reminded Us About Trust | Proof

As we reach the end of 2025, one thing stands out: trust can no longer be treated as a one-time decision. It must persist across interactions, adapt to context, and withstand scrutiny when decisions are questioned later.

This realization comes from operating at real scale. In 2025, Proof helped close more than $200B in real estate transactions, grew transaction volume by approximately 30% year over year, and surpassed 5 million remote online notarizations. By mid-year, Proof powered roughly 10% of all real estate closings in Texas.

Proof also operates its own certificate authority as part of its platform, supporting higher-assurance digital trust and certificate issuance. This year, Proof prevented over $1 million in real estate fraud and thousands of attempted non-financial identity fraud attempts.

At this scale, the same challenges surface repeatedly:

• ​Fraud moves faster than legacy systems can support.
• ​Identity checks that work in isolation break down under pressure.
• ​Compliance can’t remain static when transactions are continuous.
• ​When trust resets every time, it creates friction instead of confidence.

Everything that follows reflects how these realities shaped Proof’s products, partnerships, and perspective throughout the year.

Trust is accelerating faster than legacy systems can support

Earlier this year, Proof identified a problem many teams already felt but struggled to articulate: fraud is scaling faster than trust. In The Trust Ledger, Proof explored how digital transactions are multiplying while confidence in those transactions isn’t keeping pace.

This gap appears in several ways:

• ​Payments that move instantly but rely on outdated identity checks.
• ​Compliance workflows that still expect human review at machine speed.
• ​Customer experiences where every interaction starts from zero, even when the user is already known.

The issue isn’t a lack of effort or intent. The infrastructure for establishing and carrying trust forward hasn’t evolved at the same pace as fraud.

Trust breaks when identity is treated as a single moment

As AI-driven fraud became more visible this year, so did the limits of one-dimensional identity checks. A document scan or biometric match alone isn’t enough. Proof spent time digging into multi-signal fraud detection and sharing benchmarks from live environments.

What stood out was not which signals performed best, but how much stronger decisions became when signals worked together. Device intelligence, network behavior, document integrity, biometric analysis, and transaction context each told part of the story. Together, they created a picture much harder to fake.

This results in a different way of thinking about risk. Instead of asking whether someone passed or failed a single check, teams can evaluate confidence across the entire interaction. Trust becomes measurable and explainable, not just assumed.

Trust in the age of AI requires cryptographic proof

As generative AI lowered the cost of impersonation, it raised the stakes for proof—not just claims or screenshots, but actual cryptographic evidence.

This led to the launch of Certify. Rather than judging whether something appears legitimate, Certify focuses on proving where it came from and whether it’s been altered. It binds identity and transaction data to tamper-evident records that recipients can verify at any time, for any reason.

This is especially important in high-consequence workflows. The question isn’t just “is this legitimate?” but “who signed this document or completed this transaction?” AI changed the threat model, but verifiable records change how teams can respond.

Trust and compliance now operate continuously

Another pattern observed this year was compliance strain. In industries like digital assets, financial services, and other regulated platforms, legacy compliance tools weren’t built for remote, real-time transactions.

Proof’s work on digital credentials addressed this gap. This was seen most clearly in regulated and digital asset services, including a partnership with Lightspark, where identity and compliance need to operate continuously without slowing transactions. Digital credentials make it possible to issue, verify, and revoke identity-based permissions in real time.

Compliance has always involved ongoing obligations, but it was built around periodic checkpoints rather than continuous change. Now, it’s an ongoing state that needs to adapt as users, regulations, and risk change. Digital credentials enable this adaptability.

Trust compounds when identity can be reused

One of the most important ideas introduced this year was persistent identity—not as a feature, but as a foundation.

Persistent identity reflects a simple truth: when someone proves who they are at a high level of assurance, that proof shouldn’t disappear when a transaction ends. Trust should increase over time.

By allowing identity to carry forward across interactions, organizations can reduce friction for legitimate users while increasing scrutiny where it matters. Trust becomes repeatable instead of redundant.

The downstream impact is significant: faster repeat transactions, fewer manual reviews, and stronger confidence in edge cases. Persistent identity reframes trust from something that slows systems down into something that helps them work better over time.

Trust now moves at the speed of money

Proof’s collaboration with Visa reinforced another shift observed throughout the year: identity and payments are no longer separate concerns.

As money moves faster and further, the question of who is authorized to move it becomes inseparable from the transaction itself. Embedding identity assurance directly into payment flows helps reduce fraud without slowing commerce.

This partnership wasn’t about adding another checkpoint. It was about aligning identity with the moment of value exchange—where trust has the most impact.

A decade in, the work is still just beginning

This year marked Proof’s tenth anniversary, highlighting that trust has changed, even if the underlying need hasn’t. Digital interactions move faster, repeat more often, and carry higher stakes than a decade ago.

What’s different now is how trust can be established and carried forward. Identity no longer has to reset with every interaction. Confidence doesn’t have to depend on one data point. Evidence can be built to last, not disappear once a transaction ends.

The takeaway from 2025 is practical: teams that treat trust as infrastructure—something that grows over time and holds up under scrutiny—will be better positioned for what lies ahead. In 2026, trust has to be built to last.