BullionOX

MWhen I learned about @Walrus 🦭/acc Protocol's public bug bounty program launch in March 2025, I wondered about the timing. The program went live just a day after the mainnet rollout on March 27, 2025, offering rewards up to $100,000 for critical vulnerabilities. This strategic move reflects a deliberate effort to bolster security as the network transitions from testnet to production, where real user data and stakes are at risk.
Bug bounties are common in blockchain projects, but Walrus's program emphasizes issues impacting security, reliability, and economic integrity. Hosted on HackenProof, it invites developers and researchers to report bugs in core components like RedStuff erasure coding, node staking mechanisms, or Proof of Availability systems. This focus aligns with the protocol's design, where distributed slivers and epoch based rewards must withstand attacks to maintain credible neutrality.
The timing makes sense post-mainnet because that's when the network faces live threats. During testnet, internal audits and developer previews handled early issues, but public operation exposes the system to global scrutiny. Launching the bounty now leverages community expertise to identify subtle vulnerabilities, such as those in the asynchronous challenge protocol or delegation flows, before they escalate.
Walrus's economic model, with WAL staking and time distributed fees, adds urgency. Critical bugs could undermine node incentives or data integrity, affecting user trust. By prioritizing submissions on economic model flaws or data tampering, the program targets high impact areas, ensuring long term sustainability.
In my view, this proactive step shows Mysten Labs' commitment to maturity. Rather than waiting for exploits, the bounty program crowdsources security, fostering a robust ecosystem as adoption grows with over 120 projects by early 2026.
@Walrus 🦭/acc $WAL #walrus

When I started exploring how blockchains can handle recovery in private settings without compromising security, @Dusk Network's Rusk protocol emerged as a solid example. Confidential recovery processes where lost or disputed states are restored without exposing sensitive data are tricky in finance, but Rusk enables "silent containment," meaning errors or recoveries are managed discreetly, containing issues to prevent network wide exposure while maintaining privacy.
Rusk, as Dusk's state transition function, is the backbone here. It processes transactions deterministically, ensuring that during recovery, the network can verify and contain inconsistencies without revealing private states. For instance, if a confidential smart contract encounters an error, Rusk uses zero knowledge proofs to prove the state's validity during recovery, containing the issue to the affected UTxO or contract without broadcasting details.
This silent containment is designed for real-world applicability in regulated finance. Institutions can't afford leaks during recovery; Rusk isolates problems by relying on cryptographic commitments, allowing validators to attest to corrections without full visibility. The protocol's modular nature means recoveries happen at the execution level, containing risks before they propagate to consensus.
In practice, Rusk's efficiency in ZK circuits keeps recovery costs low, making it practical for long term use. During confidential recovery, it generates proofs that the restored state aligns with prior commitments, silently containing any discrepancies like double spends or invalid transitions.
The token supports this as the economic layer, with gas covering recovery operations and staking incentivizing validators to maintain containment protocols.
From my view, Rusk's design shifts recovery from risky, transparent fixes to private, contained processes, ideal for institutional trust in Web3 privacy trends.
How do you handle recovery in private chains? Thoughts?
@Dusk $DUSK #dusk

When I started looking at @Walrus 🦭/acc Protocol as an alternative to conventional storage solutions, I was impressed by its ability to provide always-on data availability at verifiable guarantees, and with high performance on a decentralized environment. Centralized clouds are guaranteed to be uptime but are based on single company infrastructure, which is likely to be offline or its policies redefined. Walrus, the creation of Mysten Labs based on the Sui blockchain, spreads the load among independent nodes, establishing a system in which data remains online, verifiable, and fast without dependencies on the center.
The protocol consists of the main component RedStuff which is an algorithm that erases large blobs into slivers that are distributed across storage nodes. This design is aimed at allowing data to be rebuilt with a subset of slivers, allowing up to one-third node failures during normal operation and two-thirds during recovery. The 4x to 5x replication factor allows keeping the overhead low and offers 99.999% availability, similar to the enterprise clouds but in the decentralized fashion.
The system is asynchronous giving it always on performance. Nodes are independent respondents to retrieval requests and aggregators retrieve slivers to reconstruct. Network delays limit latency, not centralized servers, and frequent accesses are accelerated by caching at aggregators. Testnet exploration indicated scaling of throughput with the number of nodes, with gigabyte blobs being scalable.
Proof of Availability certificates stored on Sui provide verifiability. These on chain records assure the user that the blob has been stored and is readable, without the need to perform complete downloads to verify that smart contracts or users can integrity check. Data is not tampered with, cryptographic commitments in slivers ensure that retrieved data is the same as that initially uploaded by the user.
High performance is applied to writes and reads. Photo uploading locally hashes and sends the slivers concurrently reducing bottlenecks. The Sui object model also allows smart contracts to clearly interact with blobs such as extending lifetimes or transferring ownership at low gas costs because of the off chain storage layer.
These attributes are supported with the help of the WAL token. The charges to users to store data on $WAL are split into epochs and allocated to nodes depending on proven availability. The stake in nodes is to buy WAL to take part, and delegation is known to promote trustful operation. Such penalties as slashing in cases of failures make sure that nodes are focused on both availability and performance.
Walrus offers a storage solution, in my opinion, that is not only always on and verifiable, but performant to the real-world requirements of the Web3, such as AI datasets or media. Such resilience and efficiency design are the key factors that make it a strong platform to be used in applications that need 24/7 and reliable access.
@Walrus 🦭/acc $WAL #walrus

When I began examining @Dusk Network's transaction models, Phoenix caught my eye as a clever way to bring true privacy to financial operations on blockchain. Unlike transparent systems where every detail is public, Phoenix uses a UTxO (Unspent Transaction Output) model to enable privacy preserving transactions, keeping balances and details hidden while maintaining network integrity. This is powered by the Rusk protocol, Dusk's state transition function that ensures these private ops are verifiable and secure.
Rusk manages Phoenix by treating transactions as UTxO-based, where outputs from one tx become inputs for the next, but with zero knowledge proofs to mask values. Users can spend UTxOs without revealing amounts or histories Rusk generates proofs that confirm the spend is valid (no double spending, correct balances) without exposing data. This is essential for institutions handling sensitive trades, where privacy prevents competitive leaks.
In practice, Rusk optimizes Phoenix for efficiency: it uses PLONK proofs for succinct verification, allowing validators to attest to tx correctness without seeing full details. The UTxO model in Rusk reduces state bloat compared to account based systems, making it scalable for long term financial use, like private asset transfers in compliant settings.
Rusk's deterministic execution ensures Phoenix txs integrate seamlessly with Dusk's consensus, achieving finality without user facing reorgs. For real-world applicability, this means institutions can use Phoenix for confidential settlements, with Rusk providing the cryptographic backbone to prove compliance to auditors on demand.
The token, as the economic layer, covers gas for these private UTxO ops and staking to secure Rusk's runtime, aligning incentives with privacy utility.
From my perspective, Phoenix via Rusk shifts privacy from an add l on to a core feature, ideal for regulated finance where trust comes from proofs, not visibility. It's a thoughtful design for enduring institutional adoption in Web3.
Thoughts on UTxO privacy in chains?
$DUSK #dusk

Quando ho letto inizialmente del
soluzione Protocol per lo storage decentralizzato, ho realizzato perché i fornitori di cloud convenzionali non riescono a raggiungere la vera neutralità credibile. I cloud come AWS o Google Cloud sono centralizzati, affidabili e scalabili, ma sono gestiti da un'unica organizzazione e sono soggetti a regolamenti aziendali, giurisdizione legale e censura. Walrus trasforma questo distribuendo i dati su una rete senza permessi di nodi indipendenti in modo tale che non ci sia un singolo soggetto in grado di apportare modifiche, eliminare dati o limitare l'accesso.

I have been paying close attention to the way the real world assets are getting chained, and @Dusk Network is a company that deserves attention, as it considers privacy at its very core. It is only possible to tokenize such things as stocks, bonds or even private credit Schemes when you can hide sensitive information and still demonstrate that it is all working correctly. Dusk does this by defining privacy as a default and not a feature.
The Dusk application applies zero knowledge proofs and homomorphic encryption to develop confidential smart contracts. By tokenizing an asset, the settlements, transfers, and issuance of assets can be performed privately by the contract. The quantity, ownership, and details of the investors remain undisclosed, although it is proven that the rules have been observed. This implies that institutions have the ability to take real assets on chain without revealing competitive or personal information.
The protocol inserts the compliance in the design. Natural tools process KYC checks, eligibility checks and report regulations. A tokenized security may consist of evidence that the buyer qualifies as accredited or that the issuance is in compliance with MiCA regulations. The regulators can obtain verifiable evidence without knowing the underlying identities or transaction amounts.
Dusk maintains its efficiency. Transaction order is ordered by trustworthy block timeness, thus time based policies such as vesting or coupon offered can be implemented privately. There is a separation of execution and consensus in the modular architecture, meaning that making sure that such proofs hold does not impose costs on the network in a geometric way.
In its Alpha stage, Hedger demonstrates the way this is put in practice. It supports confidential EVM transactions, which settle on the Layer 1 of Dusk. The tokenized asset apps can be created with the help of familiar developer tools without violating privacy. The evidences guarantee success of auditing the asset lifecycle without exposing them to the public.
This privacy by design model is developing into an ecosystem. DuskEVM is a contract written in Solidity that implements standard Solidity contracts with confidential execution, and is live on mainnet since January 2026. This reduces the obstacle to issuers and developers wishing to tokenise real assets in a compliant manner.
Institutional tokenized RWAs become increasingly more authentic with the coming of dusk. Privacy is not an exception or an addition. It is included in the foundation and therefore scaling to the actual volume does not affect confidentiality or legal aspects.
This can be like a step towards mainstream adoption. With privacy in mind, tokenized assets may be transferred between pilots and real use without recurring workarounds.
What do you think
Does privacy by design enhance tokenized RWAs with a higher degree of trust among the conventional finance players?
What are the early examples that you recall?
Share your opinion here!
@Dusk $DUSK #dusk

The combination of practical design decisions at Vanar Chain became particularly noticeable when I began researching what will make a blockchain really ready to become the new, everyday Web3. It strikes the right balance between scalability, actual usability and environmental responsibility in a manner that is both grounded and progressive.
Vanar Chain is a modular Layer 1 blockchain, which is EVM compatible.
It forms the foundation of an AI native infrastructure stack that is designed to be used in PayFi, tokenized real world assets and smart agents.
Scalability is emphasized by the foundation through its architecture. Vanar processes huge transactions with ease.
It does so at very low fixed charges of approximately 0.0005 per transaction.
This predictability is useful in making plans by developers and users without the concern of fluctuating gas prices.
In the fixed fee model, the first in first out method is used. It gives fair sequencing even at the peak time.
Scalability is able to support use cases such as gaming, payments and high throughput finance. The chain is designed with thousands of transactions per second.
This enables it to be used in applications that require responsive experiences.
Sustainability is part and parcel of the foundation. Vanar Chain is carbon neutral.
It operates on renewable energy sources by collaborating with others such as the green infrastructure of Google Cloud.
The users are required to utilize green energy data centers. This decreases the entire carbon footprint.
The strategy is in line with the larger requirements of environmentally friendly technology. It uses solar power, wind power, and hydropower where applicable.
In the independent Layer 1 set up, practicality is exhibited. Vanar manages the features, control and security.
This is because of the independence to suit real needs as opposed to relying on another chain.
The modular design has an additional layer on the base. Neutron offers semantic compression of the on-chain storage.
Kayon introduces rationality in making smart choices.
They are constructed on the scalable foundation to allow adaptive applications.
In the case of PayFi, the cheapness and quickness favor expedient on chain payments.
This is because tokenized RWAs enjoy verifiable records that are always available.
Sub second inference and long term context benefits AI agents.
The native gas token is referred to as $VANRY . It drives transactions, staking and network incentives.
This generates first hand utility based on real use throughout the stack.
Vanar has detailed records with regard to these aspects. Their whitepaper and documentation describe the fixed costs, green operations and layers.
It is concentrated on the smooth onboarding of users. The low barrier and stable performance are intended to achieve mainstream.
This base does not suffer pitfalls such as excessive prices or energy wastage.
It puts Vanar Chain at the forefront of Web3 building blocks with long term and reliable partnerships.
Practical benefits are more obvious as additional applications are rolled out.
The chain provides a foundation that grows without compromising the usability or accountability.
@Vanarchain $VANRY #vanar #Vanar

I have been discussing with some friends how the idea of @Plasma is to allow payments of USDT at scale without any issues, and I have been elaborating on this concept in the manner I would in person through what is directly stated in the official documentation and functionality of the network. It is one of those that give the chain a feel like it was intended to be used globally.
Plasma is a Layer 1 blockchain, which was released on September 25, 2025, in a beta version, specifically to use in stablecoin payments with the primary focus being on USDT. The entire architecture puts into priority instant, low friction transfers that are capable of supporting huge volumes with minimal blockchain headaches.
The protocol managed paymaster system is the key to smooth payments. In the case of simple transfers of USDT, the network covers the gas fee hence users do not incur any charges. There are no units to be held in $XPL , or gas to compute, and sends are effected unhesitatingly by the paymaster as a direct reduction off a special quota, so that the effect of a send is like moving an app.
This is not unrestricted as there are qualification criteria and restrictions to usage to deter abuse and maintain a healthy network. It is compatible with basic send and receive functions, which are ideal when sending remittances, micropayments or sending money daily to friends or family around the globe where seemingly small charges can make a big difference.
In order to scale, Plasma relies on PlasmaBFT consensus, based on Fast HotStuffle. This provides block times on the order of seconds and finalities that can be guaranteed, thus transactions can settle fast and predictably even at peak traffic. This network facilitates more than a thousand transactions in a second, and it is adjusted to the type of volumes that stablecoins experience in paying goods and services in the real world.
The implementation layer is a Rust variant of Reth with complete EVM compatibility. Ethereum style contracts can be deployed with no modifications and the USDT payments are also enjoying the native optimizations of the fast execution without congestion.
Custom gas tokens bring with it increased flexibility. The developers have the option of whitelisting assets such as USDT in their dApps and hence the user pays using stablecoins that they already possess. This is further expansion of the smooth experience to more sophisticated applications than bare transfers.
XPL validators put their money in a network by Proof of Stake. Inflation and charges on non sponsored activity are rewards and the security is aligned by increasing use of USDT as more people use it.
Since launch, the chain has garnered billions of dollars of stablecoin liquidity and a high utilization in DeFi based on what I have observed in metrics, which indicates the infrastructure can sustain real load. No significant slows and this corroborates the scale claims.
During discussions, individuals indicate that this eliminates some of the typical sources of pain such as high charges, slow confirmations, and the need to use native tokens. The USDT is made to be an instant digital cash by the virtue of plasma that can be used across border or in day to day activities.
It is scalable to the global level as it is limited in its scope, i.e. does not attempt to be all things at once. Paymaster, consensus, and execution are all collaborative in such a way that they support volume, fast, and cheap payments.
This is the targeted approach by @Plasma in case you are wondering how stablecoins will flow easily across the globe. See the documentation on the technical aspect it is straightforward and well documented.
$XPL #Plasma