Yanez.ai

Yanez is the infrastructure for Human Uniqueness. Turning what makes every person one-of-a-kind into their strongest layer of trust and integrity.

[Yanez.ai @yanez__ai]

Introducing our newest customer

dFusion AI

750,000+ human contributors feeding an AI knowledge network, each one verified as a real, unique human.

Every submission trains and verifies the AI agents built on top of it. @dFusionAI whole intelligence framework runs on the trust that there's a real person behind each contribution.

That's why dFusion AI chose our product for their solution. And when they go live, that's 750k+ humans, verified every time they show up and submit intelligence, running through Yanez.

@yanez__ai $TAO

[Yanez.ai @yanez__ai]

Yanez YID is live.

Today we crossed from vision to production with the first deployment of Yanez Proof of Humanhood and Uniqueness, the trust layer for decentralized and autonomous economies. Synthetic identities and bot automation are exploding across every digital economy. We built the answer: biological proof that every participant is real, and that no person can hide behind multiple accounts. Today that technology is running in production.

As announced jointly before, our first client is https://t.co/NV3iR9xMCd, a peer-to-peer fiat-to-crypto protocol, and the integration is already enforcing trust where it matters most. Every market maker is verified as a unique human. Transactions are secured with biometric 2FA that cannot be stolen or spoofed. Bad actors are banned permanently, no new identity, no second chance. One human, one account, enforced forever.

This is just the beginning.

[Yanez.ai @yanez__ai]

Yanez in the news!

We're starting to get noticed by the industry.

FinAI News talked to our CEO, @josercaldera , about synthetic identity fraud, and why the same tech bad actors use to fake people is now what smart FIs use to stress test their own systems. This is our original Financial Crime Prevention Scanner product at work.

Read it here:

https://t.co/PAsMa97M3B

@yanez__ai $TAO

[Yanez.ai @yanez__ai]

Our Financial Crime Prevention Scanner product includes 5 modules, most of which can be sold separately and all of which can be upsold. Our most popular module, Monitoring, can only be purchased alongside Testing and Tuning.

We've successfully upsold Model Validation and Vendor Comparison to one of our clients, with three additional clients in the pipeline for Model Validation.

Here are detailed descriptions of each module:

Testing and Tuning
- Stress Testing: Simulates real threat scenarios to evaluate the screening system's performance under pressure.

- Preparedness Assessment: Measures how well the system withstands various threats and identifies weaknesses.

- Recommendations & Workflows: Provides tailored suggestions and procedures to optimize the system based on test results.

- System Tuning: Recommends adjustments and configurations to enhance the system’s resilience against specific threats.

Monitoring
- Continuous Probing: Actively monitors the system to ensure it operates within the defined parameters.

- Proactive Alerts: Notifies operations teams when the system deviates from expected behavior or thresholds.

- Internal Policy Compliance: Ensures the system consistently stays within desired operational limits.

Model Validation
- OCC Framework Implementation: Streamlined integration of the Office of the Comptroller of the Currency (OCC) risk model validation framework.

- Infrastructure Protection: Ensures the system is effectively safeguarding the infrastructure according to regulatory standards.

- Consistency Across Environments: Verifies that the system behaves consistently in both testing and production environments.

- Regulatory Reporting Ready: It documents what is necessary for OCC and NYDFS regulatory requirements.

Vendor Comparison
- Head-to-Head Comparison: Provides direct performance comparisons of different screening systems against specific, tailored scenarios.

- Scenario-Based Testing: Utilizes scenarios designed to measure the performance of screening solutions in real-world conditions.

- Client-Specific Data: Scenarios and data used are aligned with the client’s risk parameters, ensuring tests reflect their unique requirements.

Third Party Certification
- Benchmarking Framework: Allows clients to establish a performance benchmark and evaluate systems against it.

- Client-Defined Criteria: Clients set specific metrics and performance criteria for system evaluation.

- Certification Process: Systems that meet or exceed the criteria are certified; those that don’t enter an optimization workflow.

- Continuous Optimization: Non-certified systems undergo refinement until they meet or surpass the defined performance criteria.

Stay tuned for upcoming posts on our other two products.

$TAO #YANEZ #yanez__ai

[Yanez.ai @yanez__ai]

@BITFANSPACE Follow us so we can dm

[Yanez.ai @yanez__ai]

@josercaldera The dude wasn't lying
https://t.co/y9NddzMnv2

[Yanez.ai @yanez__ai]

Yanez YID is live.

Today we crossed from vision to production with the first deployment of Yanez Proof of Humanhood and Uniqueness, the trust layer for decentralized and autonomous economies. Synthetic identities and bot automation are exploding across every digital economy. We built the answer: biological proof that every participant is real, and that no person can hide behind multiple accounts. Today that technology is running in production.

As announced jointly before, our first client is https://t.co/NV3iR9xMCd, a peer-to-peer fiat-to-crypto protocol, and the integration is already enforcing trust where it matters most. Every market maker is verified as a unique human. Transactions are secured with biometric 2FA that cannot be stolen or spoofed. Bad actors are banned permanently, no new identity, no second chance. One human, one account, enforced forever.

This is just the beginning.

[Yanez.ai @yanez__ai]

Yanez YID is live.

Today we crossed from vision to production with the first deployment of Yanez Proof of Humanhood and Uniqueness, the trust layer for decentralized and autonomous economies. Synthetic identities and bot automation are exploding across every digital economy. We built the answer: biological proof that every participant is real, and that no person can hide behind multiple accounts. Today that technology is running in production.

As announced jointly before, our first client is https://t.co/NV3iR9xMCd, a peer-to-peer fiat-to-crypto protocol, and the integration is already enforcing trust where it matters most. Every market maker is verified as a unique human. Transactions are secured with biometric 2FA that cannot be stolen or spoofed. Bad actors are banned permanently, no new identity, no second chance. One human, one account, enforced forever.

This is just the beginning.

[Yanez.ai @yanez__ai]

https://t.co/Xqa8J89E14

[Yanez.ai @yanez__ai]

https://t.co/Xqa8J89E14

[Yanez.ai @yanez__ai]

We started hosting quarterly results calls where we disclose quite a bit. We did our first one in Q2, and we'll do another in at the end of Q3. We communicate constantly, and will talk about the clients we can talk about in detail.

The X Space where we did our Q2 results is no longer accessible. But Tao Times did a good write up of it
https://t.co/dtGe6czq7k

Also Tao Daily
https://t.co/tm4WofOeVj

BTW -- Appreciate the support.

[The TAO Daily @taodaily_io]

https://t.co/OJs1cHGtxj

[Yanez.ai @yanez__ai]

In case someone is wondering what an anti-fraud biometric based company is worth

https://t.co/fPp21ivRjL

Biocatch was before the explosion of deepfakes and agentic commerce.

Our solution is tailored to the new reality... theirs isn't.

[Yanez.ai @yanez__ai]

@potbellyman123 @josercaldera @mogmachine @babelbit https://t.co/WFKtQYColf

[Yanez.ai @yanez__ai]

Big Reveal: SN54 token becomes the currency for Yanez' Proof of Humanhood and Uniqueness product.
- All PoH/PoU revenue be it in USD, Stable Coins, or bittensor:native will become SN54 Alpha.
- All revenue can be tracked on-chain
- 20% will never be sold

The other highlights:
- Business better than expected. The business, reiterated the numbers shared before, and @josercaldera hinted at things going better than expected. Numbers again at the end of Q3.
- 3 Pillars. Proof of Humanhood and Proof of Uniqueness Pillars: Privacy Preserving, Decentralized, and Hardware Agnostic
- 2 Incentives. SN54 is the key for software based fraud detection on identity verification which enables the PoH/PoU solution being hardware agnostic. SN54 new incentive mechanism is about unique user growth in Yanez registry.
- 2 Integrated Clients. PoH/PoU integrated into two clients already, waiting on the user apps to become available in the Apple Store and in the Play store. Many more clients in the pipeline.
- Our incentive mechanism is also novelty search. @asem_othman knows now where Novelty Search got its name from and coincided with our process that resulted in the current incentive algorithm.
- 70% of miners emission on. 35% added to the second incentive mechanism. Great timing giving new chain buys mechanism.
- Closed Loop. Partners are miners on the second incentive. Tokens are awarded for adding new unique users to the Yanez registry, and these added users are using PoH/PoU. These awarded tokens are used to pay for the PoH/PoU services.
- Permissionless Incentive will be announced at @ExploitSummit
- PoH/PoU native to Bittensor. @const_reborn asked the team if the solution could be made native - the answer was yes. We are told more to come soon.

[Yanez.ai @yanez__ai]

Continuous security audit... the way to go! We know it.

[Bitsec | Bittensor Subnet 60 τ @bitsecai]

The era of single audits is over.

Mission critical systems can't afford to be vulnerable, even for a moment, not when the people attacking are using the best frontier models available.

Continuous, expert-level AI hardening, for every line of code, every release. This is the only strategy that keeps systems safe.

It’s also the premise for everything we built at Bitsec. Priced for continuous auditing of the highest quality, built to secure mission critical systems.

And as Bitsec turns to face the industry with this shift in auditing, we figured it was time to dress for the occasion.

Welcome to Continuous Auditing.
Welcome to Bitsec.

[Yanez.ai @yanez__ai]

@potbellyman123 Behavior is a well-known form of biometrics. There are solutions that focus solely on behavior.

We are currently working, as announced before, in adding voice. We have other things to get done in multi biometric before we hit behavior. But it is part of our thinking.

[Yanez.ai @yanez__ai]

New Biometric Update market report breaks deepfake defense into two distinct problems:

-catching a fake face on camera (presentation attack detection) and
-catching a hijacked feed before it ever reaches the camera (injection attack detection)

Yanez's miners compete daily on the first one, generating ~20,000 new attack attempts a day. Lighting, angle, glare, replay, spoof, deepfake. Same face, attacked from every direction it can be faked, all day, every day.

That's presentation attack detection running at adversarial scale.

Bittensor @bitsecai is helping us with continuous security review of our apps to close ahead of time any potential for injection attack.

Both, happening in Bittensor...

https://t.co/VL8WeEUmw8

@yanez__ai bittensor:native

[Yanez.ai @yanez__ai]

Synthetic identity fraud is now 11% of all fraud globally, up eightfold in a year, per a recent Liminal-Unico report.

These identities don't belong to a real, compromised person. They're pieced together from real and fake data, built specifically to pass verification.

Traditional fraud tools struggle here because these identities are consistent across data fields and deepfakes have become as realistic as real individuals.

Proof of Humanhood/Uniqueness ties every account to a key made from a real person's own biometrics. That is something you can't fake and can't scale, removing the key incentive of using synthetic identities for systematic fraud.

Synthetic identity fraud is the fastest-growing fraud category right now. Most verification systems weren't built for it.

Ours is.

@yanez__ai bittensor:native

[Yanez.ai @yanez__ai]

@Andres_XYZ_ @LamidaGlobal @Cryptnomad1 @josercaldera @LamidaGlobal check DM

[Yanez.ai @yanez__ai]

Big week coming... @josercaldera says it.

[Jose Caldera @josercaldera]

Some end of the week message to all

[Yanez.ai @yanez__ai]

@USB_HI @techiee_0 Operations. and as we have disclosed before roughly 20% goes to token buybacks. As the new product rolls out the token becomes the currency, and we won't sold 20% of the tokens associated to the product revenue.

[Yanez.ai @yanez__ai]

Synthetic identity fraud is now 11% of all fraud globally, up eightfold in a year, per a recent Liminal-Unico report.

These identities don't belong to a real, compromised person. They're pieced together from real and fake data, built specifically to pass verification.

Traditional fraud tools struggle here because these identities are consistent across data fields and deepfakes have become as realistic as real individuals.

Proof of Humanhood/Uniqueness ties every account to a key made from a real person's own biometrics. That is something you can't fake and can't scale, removing the key incentive of using synthetic identities for systematic fraud.

Synthetic identity fraud is the fastest-growing fraud category right now. Most verification systems weren't built for it.

Ours is.

@yanez__ai bittensor:native

[Yanez.ai @yanez__ai]

@techiee_0 Yes, we do.

[Yanez.ai @yanez__ai]

We don't pay anyone to enroll in YID.

Because we don't need to.. (and it is borderline illegal in some jurisdictions)

A recent lawsuit alleges World paid people in low-income areas $59-138 for an iris scan. The company gets a verified, unique identity that becomes worth more as the network grows. If true, that's not a fair trade. It's a one-time payment offered to someone who isn't in a position to weigh what they're actually giving up.

Ours runs the other way. You enroll because of what you keep using: stronger account security, a credential that proves you're a real, unique person without ever exposing your biometric to anyone, and access to whatever gets built on top of that credential going forward.

Nobody has to be paid to want that.

That's the real test for whether an identity system respects the people using it. Does someone enroll because of what they get, or because of what they're handed to offset what they're giving away.

@yanez__ai bittensor:native

[Yanez.ai @yanez__ai]

The Orb is creepy. It is limiting and yields a myopic technical solution. But the moral breakdown is something else altogether.

Read our CEO's (@josercaldera) take on the latest litigation against World.

Proof of Humanhood and Uniqueness is needed. And it needed when the principles are met:

Privacy Preserving
Hardware Agnostic
Decentralized

@yanez__ai bittensor:native