BRX

Stop making every agent start from zero.
Independent by default. Collaborative when it counts. Trusted because it’s provenanced. Powered by @origin_trail $TRAC.

[BRX @otnoderunner]

✅ Data privacy and sovereignty
✅ Fights AI harm with verifiable context and knowledge
✅ 33% APR from paying customers using the product
✅ Zero inflation since 2018, fully circulating

@origin_trail $TRAC Is finally getting the attention it deserves

[CrediBULL Crypto @CredibleCrypto]

My first in a new series of three articles that introduces and educates the masses about the OriginTrail DKG, the native $TRAC token at its center, and a new startup that is using both to actively combat the dark side of AI.

Enjoy. https://t.co/QcYi53dzYo

[BRX @otnoderunner]

@OTHub_io @oct_gems @origin_trail Exactly. Anyone can print a QR. Paying to publish a record that stays checkable is a different thing, and that's where $TRAC gets used.

[BRX @otnoderunner]

Agree. The useful part is what happens right before an agent acts. Blackbox from @umanitek already pulls threat intel from the @origin_trail DKG so an agent can check a command or package before it runs it. Check the record, then act. That habit is where $TRAC gets real use.

[OTHub.io @OTHub_io]

The best sign for $TRAC is how boring the checking is getting. 30,594,271 verified assets and 124,897 knowledge assets are already sitting there for agents to check before they act. No announcement needed. Just a record that is there when it matters.

[BRX @otnoderunner]

@OTHub_io @oct_gems Yeah, a token is just a wrapper. If the buyer can't open the inspection report or title docs behind it and check them, you've moved the trust problem onto a chain, not solved it.

[woisau @woisau1]

@reduansheikh11 Exactly the right question. An agent's output is only as trustworthy as its inputs. With @origin_trail, agents can draw on a knowledge graph where every fact carries its source and can be checked before they act. $TRAC https://t.co/xChnAzoMj8

[BRX @otnoderunner]

@OTHub_io @origin_trail Yep. Right now a lot of RWA pricing is basically a discount for not being able to see the paperwork. Put provenance and documents somewhere anyone can check and that discount starts to shrink. That's the boring part of tokenization that actually matters.

[BRX @otnoderunner]

Minting an RWA token is easy. What gives it weight is a buyer opening the record behind it and checking provenance and docs themselves, no sales pitch needed. That's what @origin_trail DKG is for, and $TRAC pays to publish and keep those records checkable.

[OTHub.io @OTHub_io]

@woisau1 @MavrykNetwork @origin_trail Exactly. The token is the easy part. Anyone should be able to open the record behind it and check provenance and documents for themselves, instead of trusting a sales pitch. That open check is what gives an RWA its weight.

[BRX @otnoderunner]

@OTHub_io @umanitek @origin_trail Right, and Blackbox is sensible about it. Every tool call gets checked against a DKG threat graph plus your local rules. Audit mode just logs, block mode refuses anything over your severity line. Community findings never auto-block, so one bad report can't brick your agent.

[BRX @otnoderunner]

Black October is why agent security can't be an afterthought. AI finds the bug, AI writes the exploit, and now the agent sitting on your machine is a target too.

@umanitek's Blackbox pulls threat intel from @origin_trail's DKG, so a known bad command gets caught before it runs instead of after the damage. That's real usage for $TRAC, not a whitepaper promise.

[umanitek @umanitek]

AI found a critical bug in code behind millions of websites. Within hours, hackers made millions of attempts to exploit it.
Security leaders are calling it “Black October,” and warning it’s only the start.

Servers aren’t the only target. AI also lets scammers create fake accounts and impersonations faster than anyone can report them. Guardian detects and takes them down at the same speed🛡️
And as more work runs through AI agents, they become targets too.

Blackbox monitors agents as they run, so they can’t be tricked or compromised 🤖

📰 Via @guardian : ‘Black October’: cybersecurity experts sound the alarm over new era of AI-enabled hacking | Technology | The Guardian

[BRX @otnoderunner]

@OTHub_io @mycelliam @cryptoissimple yep. a bot that can say no to the wrong instruction is the only kind I'd let near a wallet

[umanitek @umanitek]

AI found a critical bug in code behind millions of websites. Within hours, hackers made millions of attempts to exploit it.
Security leaders are calling it “Black October,” and warning it’s only the start.

Servers aren’t the only target. AI also lets scammers create fake accounts and impersonations faster than anyone can report them. Guardian detects and takes them down at the same speed🛡️
And as more work runs through AI agents, they become targets too.

Blackbox monitors agents as they run, so they can’t be tricked or compromised 🤖

📰 Via @guardian : ‘Black October’: cybersecurity experts sound the alarm over new era of AI-enabled hacking | Technology | The Guardian

[BRX @otnoderunner]

@mycelliam @cryptoissimple agreed. and it's not just theory, umanitek just shipped Trader Shield on the DKG so trading agents stop following injected instructions. that's the kind of use that pulls $TRAC demand

[BRX @otnoderunner]

Prompt injection is the scary one for trading bots. Your agent reads a page, the page says send funds here, and the agent can't tell that apart from your real order.

Trader Shield from @umanitek is built on @origin_trail's DKG, and Blackbox already keeps agents out of wallet key stores and seed phrases.

That's $TRAC getting used for actual safety, not just staking.

[umanitek @umanitek]

Day 1 of Trader Shield?

Start here 👇

Your trading agent sees text and follows it. It cannot tell your order from an attacker's instruction buried in a page it just read.

We built the fix on @origin_trail's #DKG.

https://t.co/XdasxcgfcE

[umanitek @umanitek]

Day 1 of Trader Shield?

Start here 👇

Your trading agent sees text and follows it. It cannot tell your order from an attacker's instruction buried in a page it just read.

We built the fix on @origin_trail's #DKG.

https://t.co/XdasxcgfcE

[BRX @otnoderunner]

@OTHub_io This is the boring problem that costs real money. One record everyone checks beats ten copies drifting apart. DMaaST is basically this on a factory floor.

[BRX @otnoderunner]

Real factories, real data. In DMaaST, JPB Systeme and Kamstrup are putting their manufacturing records on the @origin_trail DKG.

Why it matters: from 2027 the EU's Digital Product Passports need product data a buyer or regulator can actually check. If your records are already verifiable, you aren't scrambling to build that file later. Same records also make AI decisions on the line traceable.

That's usage, not hype. $TRAC

[OriginTrail @origin_trail]

Manufacturing, on TRAC(k). For the next decade.

Data that can be verified is the cheapest form of AI risk management. It is also what the EU’s Digital Product Passports (DPP) will run on from 2027.

In DMaaST, @JPB_SYSTEME and @KamstrupGroup are putting their factory data on the OriginTrail Decentralized Knowledge Graph to future-proof their smart manufacturing: verifiable records, traceable AI decisions, and DPP readiness built in.

How it works:
👉 https://t.co/soh1dOst41

[OriginTrail @origin_trail]

Manufacturing, on TRAC(k). For the next decade.

Data that can be verified is the cheapest form of AI risk management. It is also what the EU’s Digital Product Passports (DPP) will run on from 2027.

In DMaaST, @JPB_SYSTEME and @KamstrupGroup are putting their factory data on the OriginTrail Decentralized Knowledge Graph to future-proof their smart manufacturing: verifiable records, traceable AI decisions, and DPP readiness built in.

How it works:
👉 https://t.co/soh1dOst41

[AIZEN @nevershamimg]

𝐰𝐡𝐞𝐫𝐞 @soneium 𝐩𝐥𝐚𝐧𝐧𝐞𝐝 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐟𝐨𝐫 𝐄𝐑𝐂 𝟖𝟒𝟑𝟐 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐢𝐧𝐠.

Tokenizing IP is only one part of the solution. Creative works also need clear licensing rules that both people and AI agents can understand and verify.

ERC 8432 proposes a common interface for registering Tokenized IP, publishing machine readable license terms and checking agreements onchain.

This could help AI agents identify permitted uses before interacting with protected content, instead of relying on unclear permissions or manual checks.

The bigger idea is simple: ownership and usage rights should stay connected to the creative work as it moves across digital platforms.

With Tokenized IP, AI agents and open standards working together, Soneium is exploring how blockchain can make digital rights more accessible, programmable and verifiable.

The next stage of the creator economy will need more than tokenized assets. It will need infrastructure that helps protect the rights behind them.

@StartaleGroup @0xRamz @StartaleApp

[BRX @otnoderunner]

@JDan2411 Same reason I run nodes. Every knowledge asset published on the DKG is paid for in $TRAC and that flows to stakers, so the usage side isn't just a promise. Market hasn't priced the agent angle yet imo

[woisau @woisau1]

~74M $TRAC is staked on @origin_trail DKG nodes.

Delegators earn from the fees paid every time knowledge is published. Top displayed node yield right now: up to ~40.9% (12-month lock, high end of range, not a guarantee).

Epoch 22 ends in 8 days.
https://t.co/pHAOrxdz4r