Incode Technologies

08/20/2026

Synthetic identity fraud blends real and fabricated data to create a document that is both convincing and grounded in reality.

Advanced deepfake technology enables fraudsters to insert their likeness into an identity document tied to stolen PII.

🧍 The identity is 100% real.
📑 The document looks legit.
🏁 So, with most traditional identity checks, the attempt passes.

Incode GovFaceMatch is the most direct solution to synthetic identity fraud. It is the only offering on the market that matches a live selfie against the issuing DMV record, which no fraudster can fabricate.

👉 Learn more about GovFaceMatch today: https://hubs.ly/Q04tJ6HD0

08/17/2026

Deepfakes are expected to increase by 495% by the end of 2026, leading to significant losses for businesses and consumers alike. What can business leaders do to prepare?

In our updated deepfake guide, we step you through the types of modern deepfakes as well as the technology enabling them. We also provide several tips on how to identify deepfakes in the wild.

(Hint: The human eye is seldom enough anymore. 👀)

👉 Read the full post: https://hubs.ly/Q04tdnyY0

08/13/2026

Autonomous AI agents have removed one of the only remaining constraints on fraud: how many people a criminal operation can hire. Agents work tirelessly and iterate in seconds, learning and re-testing new strategies before most Fraud teams can react.

Our new Agentic Fraud Report tracked 66 independently verified cases and found documented AI-enabled fraud has grown more than 5x since 2023, with reported losses already approaching $900 million in extremely well-documented cases alone. If current agent activity scales 10-25x, US fraud losses could climb well past $150 billion annually.

In his most recent article, Incode Senior Manager, GTM Strategy & Growth Veljko Davidovic breaks down a few more trends identified in our recent fraud report.

👉 Read the breakdown: https://hubs.ly/Q04sVxFJ0

08/12/2026

Incode On-Device Age Estimation verifies age without processing any individual end user’s biometric information server-side.

And we do it on a model that’s 10x smaller than our other age assurance offerings, while maintaining accuracy and security. 💥

In her most recent blog post, Incode Senior Product Manager Nastia Molotkova breaks down how we achieved these incredible results while engineering bias out, rethinking model architecture, and keeping sensitive biometric data exactly where it belongs: on the device.

👉 Read the full article here: https://www.incode.com/blog/how-incode-on-device-age-estimation-remains-accurate-secure-and-private

08/07/2026

The accounts you onboarded yesterday may be a security threat today. 😰 Why? Because AI-assisted fraud and agents are rapidly increasing the speed at which new threats emerge.

The scary part? Many fraudsters are specifically targeting systems that verify identity exclusively at onboarding.

In his most recent blog post, Deji Amund explains why this moment requires continuous trust. A system that establishes, then re-verifies, trust through an account’s lifetime is far more secure than one that establishes trust once and rests.

👉 Read the full post here: https://hubs.ly/Q04sg2_y0

Account takeover is quickly outpacing onboarding fraud. See why re-authentication is becoming the new frontier in continuous identity verification.

08/07/2026

Incode is heading to DEF CON 34. 🎙️

We're proud to return as a Platinum sponsor of Payment Village, August 6-9 in Las Vegas.

This year, Incode Senior Manager of Machine Learning Efim Boieru takes the stage to break down how Incode’s proprietary models rely on adversarial research to build state-of-the-art deepfake detection. Plus, our VP of Fraud & Operations Jorge Braniff joins a panel to discuss The Future of Payments: AI, Agentic Commerce and the Next Wave of Innovation.

Stop by Payment Village to:

✔ Catch Jorge's panel discussion (10:45 a.m. on Friday, August 7, Panel 4.)
✔ Hear Efim's technical talk (3 p.m. on Friday, August 7, and 2:30 p.m. on Saturday, August 8.)
✔ Test yourself against our model at the Human vs. Incode Challenge
✔ Talk shop with our team on the ground

See you in Vegas. 👋

08/06/2026

Modern fraud is cheap, fast, and scaling. A convincing fake identity can be built in minutes for as little as $15, and losses to synthetic identity fraud are projected to surpass $20 billion by 2030.

That cost lands on real businesses and real people: banks, lenders, fintechs, and healthcare providers. Meanwhile, legitimate customers get caught in the friction meant to stop it.

GovFaceMatch tackles modern fraud head-on, without creating friction for users, by verifying identity against a source no fraudster can fabricate: DMV records.

✔ 10-second average verification
✔ 20% better conversion than document-based verification
✔ 1,000x fewer false acceptances than data-only checks
✔ 150x fewer false acceptances than document-based verification

This is the future of IDV.

08/05/2026

Traditional identity verification has forced organizations into an impossible choice: accept more fraud, or add friction and lose legitimate users.

For years, the only plausible answer to fraud seemed like additional checks. Yet somehow, sophisticated fraud still gets through, and 40% of legitimate users abandon document-based verification before they finish.

The friction meant to stop fraud is not working as intended. This is exactly why we launched GovFaceMatch.

Instead of analyzing documents or running probabilistic checks, GovFaceMatch goes straight to the source: a live selfie matched against the official DMV record.

The result? Less friction for users, and fewer fraudsters invited through the door.

✔ 10-second average verification
✔ 20% better conversion than document-based verification
✔ 1,000x fewer false acceptances than data-only checks
✔ 150x fewer false acceptances than document-based verification

Learn how GovFaceMatch works and why it’s built for the age of AI-driven fraud.

👇 Read more here:
www.incode.com/blog/incode-launches-govfacematch

08/04/2026

We're proud to introduce GovFaceMatch, the first identity solution to match biometrics against Department of Motor Vehicles (DMV) records in real time. 🏛️

This launch is a massive step forward in the fight against synthetic identity fraud.

Modern fraudsters generate convincing identity documents at scale, in minutes, for as little as $15. Losses to synthetic identity fraud are expected to surpass $20 billion by 2030. Those losses hit banks, lenders, fintechs, and healthcare providers the hardest.

But fighting fraud often involves friction: longer wait times for users, false rejections, and frustrating UX that leads to conversion losses.

GovFaceMatch challenges synthetic identity fraud head-on without penalizing users. It ties identity verification to a source of truth no fraudster can fabricate: state DMV records. With GovFaceMatch, organizations achieve:

✔ 10-second average verification
✔ 20% better conversion than document-based verification
✔ 1,000x fewer false acceptances than data-only checks
✔ 150x fewer false acceptances than document-based verification

And, most importantly: fewer fraudsters through the door, and less friction for legitimate users.

Learn more about the flagship offering within GovMatch™, Incode’s suite of verification solutions built on government records, from Product Manager Cindy Weng: https://www.incode.com/blog/incode-launches-govfacematch 👇