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Oracle

Oracles are essential infrastructure components that feed real-time, off-chain data (such as price feeds, weather, or sports results) into blockchain smart contracts. Without decentralized oracles like Chainlink and Pyth, DeFi could not function. In 2026, oracles have evolved to support verifiable randomness and cross-chain data synchronization. This tag covers the technical evolution of data availability, tamper-proof price feeds, and the critical role oracles play in ensuring the deterministic execution of complex decentralized applications.

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Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Nvidia Expands U.S. Energy Ties with Oracle, Palantir, and Uber in Massive AI Push

Nvidia Expands U.S. Energy Ties with Oracle, Palantir, and Uber in Massive AI Push

TLDRs; Nvidia will build seven AI supercomputers for the U.S. Energy Department, including one in partnership with Oracle. The Oracle deal will power nuclear fusion and renewable research using 100,000 Blackwell chips. Nvidia partners with Palantir to build AI-driven logistics and supply chain solutions across industries. The company teams up with Uber on a robotaxi [...] The post Nvidia Expands U.S. Energy Ties with Oracle, Palantir, and Uber in Massive AI Push appeared first on CoinCentral.

Author: Coincentral

2025/10/29

Bitcoin vs Solana Price Update: BTC $115,476 / SOL $202 — Why the BTC+SOL + CTK Presale Combo Could Win Institutional Interest

Bitcoin vs Solana Price Update: BTC $115,476 / SOL $202 — Why the BTC+SOL + CTK Presale Combo Could Win Institutional Interest

Bitcoin is trading near $115,476 while Solana checks in around $202 — a pairing investors often use to balance macro liquidity (BTC) with execution capacity (SOL). As capital rotates out of large-cap gains, allocators look for pragmatic L1 + presale combinations that offer both reliable settlement rails and credible real-world utility. One combo gaining traction […]

Author: Cryptopolitan

2025/10/29

The dilemma of AI oracles: Why is cryptographic proof the key to the intelligent agent economy?

The dilemma of AI oracles: Why is cryptographic proof the key to the intelligent agent economy?

The dilemma of AI oracles: Why is cryptographic proof the key to the intelligent agent economy? The Double Boom of AI The current crypto space is being activated by two explosive narratives: the rise of the autonomous AI agent economy and the parallel boom of on-chain prediction markets. The wave, exemplified by the x402 protocol, is standardizing how intelligent agents "pay" for API calls. Meanwhile, platforms like Polymarket are demonstrating that "pricing collective intelligence" is a multi-billion dollar market. These two trends are converging on a single, crucial dependency: data . AI agents must consume external data to inform their decisions; and a prediction market without reliable oracles to settle its outcomes is useless! The widespread adoption of x402 has turned this theoretical problem into an urgent reality: when an AI agent can autonomously pay to call any API, how can it trust the returned results? This has given rise to a huge, high-risk demand: the need for an oracle that can reliably input information from the external world (Web2) into the blockchain (Web3). The "Bug" of Traditional Oracles This is precisely the shortcoming of the mainstream oracle model, generally known as "reputation-based consensus". Traditional oracles (like Chainlink) are designed for simple, publicly available, and easily verifiable data. For example, to obtain the price of SUI/USD, a decentralized oracle network (DON) only needs 20 independent nodes to query 10 different exchanges and then report the median. If a node lies, it will be voted out. However, the model breaks down when the data becomes complex, private, and uncertain . Suppose an AI agent needs to execute high-value transactions based on a complex prompt sent to OpenAI: Privacy Bug: The agent cannot broadcast its proprietary Prompt, and more importantly, it cannot broadcast its API_KEY to 20 different nodes. Consensus Bug: Even if it were possible, 20 different nodes asking OpenAI the same complex question might result in 20 slightly different, non-deterministic answers. There is no "median" to vote on. This forces agents to do something that a trustless system should never do: trust a single, centralized oracle node . The entire security of a multi-million dollar protocol now hangs on the "hope" that this single node hasn't been hacked, isn't malicious, or hasn't returned a false result for the sake of convenience. A deeper question: Trust-based AI oracles You might think: Isn't the solution simply to let the AI Agent directly call the API? However, this idea is too simplistic. The smart contracts on Sui themselves cannot send HTTPS requests to OpenAI. It is a closed, deterministic system. It must rely on an off-chain participant to "transfer" data. The seemingly obvious solution is to create a dedicated "AI oracle" that simply calls the API and returns the result. However, this doesn't solve the core problem. The smart contract is still blindly trusting that node. It cannot verify: Did this node actually call api.openai.com? Or did it call a cheaper, but seemingly malicious, server? Did it tamper with the response to manipulate a prediction market? This is the real impasse: the AI agent economy cannot be built on "reputation," it must be built on "proof." Solution: DeAgentAI zkTLS AI Oracle This is precisely the challenge that DeAgentAI, as a leading AI Agent infrastructure, is committed to solving. Instead of building a "more trustworthy" oracle, we built an oracle that doesn't require trust at all . We achieve this by shifting the entire paradigm from reputational consensus to cryptographic consensus . The solution is a dedicated AI oracle built on zkTLS (Zero Knowledge Transport Layer Security) . The diagram below illustrates the complete interaction architecture between the AI Agent, the Sui smart contract, off-chain nodes, and the external AI API: How it works: "Cryptographic Notary" DeAgentAI's oracles should not be viewed as mere messengers, but rather as an internationally recognized "cryptographic notary." Its technical workflow is as follows: Off-Chain Proving: The DeAgentAI oracle node (an off-chain component) initiates a standard, encrypted TLS session with the target API (e.g., https://api.openai.com). Privacy-Preserving Execution: Nodes securely send a prompt using their private API key (Authorization: Bearer sk-...). The zkTLS authentication system records the entire encrypted session. Proof Generation: After the session ends, the node generates a ZK proof. This proof is like a "notary's seal." It cryptographically proves the following facts simultaneously: "I connected to a server that has an official certificate for api.openai.com." "I sent a data stream that included a public prompt." "I received a data stream containing a public response." "All of this was done while the Authorization header was demonstrably hidden (edited), and the header information remained private." On-Chain Verification: Subsequently, the node invokes the AIOracle smart contract on the chain, submitting only the response and proof. This is where the miracle happens, as DeAgentAI's Move-based architecture demonstrates: Code snippet // A simplified snippet from DeAgentAI's AIOracle contract public entry fun fulfill_request_with_proof( Oracle: &AIOracle, Request: &mut AIRequest, response: String, server_name: String, // eg, "api.openai.com" proof: vector, // The ZK-proof from the off-chain node ctx: &mut TxContext ) { // --- 1. VALIDATION --- assert!(!request.fulfilled, E_REQUEST_ALREADY_FULFILLED); // --- 2. VERIFICATION (The Core) --- // The contract calls the ZKVerifier module. // It doesn't trust the sender; it trusts the math. let is_valid = zk_verifier::verify_proof( &proof, &server_name, &request.prompt, &response ); // Abort the transaction if the proof is invalid. assert!(is_valid, E_INVALID_PROOF); // --- 3. STATE CHANGE (Only if proof is valid) --- request.response = response; request.fulfilled = true; event::emit(AIRequestFulfilled { request_id: object::id(request), }); } The fulfill_request_with_proof function is permissionless . The contract doesn't care who the caller is; its only concern is whether the proof is mathematically valid. The actual cryptographic task is handled by the zk_verifier module, which performs mathematical operations on-chain to check the "notary's seal". Code snippet // file: sources/zk_verifier.move // STUB: A real implementation is extremely complex. module my_verifier::zk_verifier { use std::string::String; // This function performs the complex, gas-intensive // cryptographic operations (eg, elliptic curve pairings) // to verify the proof against the public inputs. public fun verify_proof( proof: &vector, server_name: &String, prompt: &String, response: &String ): bool { // --- REAL ZK VERIFICATION LOGIC GOES HERE --- // In this example, it's stubbed to return true, // but in production, this is the "unforgeable seal." true } } This architecture separates the AIOracle business logic from the ZKVerifier cryptographic logic, resulting in a clear modular design that allows the underlying proof system to be upgraded in the future without halting the entire oracle network. Economic Impact: From "Data Costs" to "Trust Value" Existing oracle giants (such as Chainlink) have done an excellent job in the "public data" market, where their core business is providing price data like SUI/USD for DeFi. This is a market based on "redundancy" and "reputation consensus" (N nodes voting), and its economic model is based on paying for data . DeAgentAI is targeting a completely new blue ocean: the incremental market (private/AI oracles). This is a market where AI agents, quantitative funds, and institutions need to access private APIs, non-deterministic AI models, and confidential data . This market is currently almost non-existent , not because there is no demand, but because it is completely locked down by the "trust dilemma." DeAgentAI's zkTLS oracle is not intended to compete with traditional oracles in the "price data" red ocean market, but rather to unlock the trillion-dollar "autonomous intelligent agent economy" market that has been unable to start due to a lack of trust! Redefining Costs: "Gas Costs" vs. "Risk Costs" Our zkTLS oracle verifies ZK proofs on-chain, which currently consumes a considerable amount of gas. This may seem "high-cost," but it's actually a misinterpretation. We must distinguish between these two costs: Gas cost: The on-chain fee paid for a verifiable, secure API call. Risk cost: The potential loss of millions of dollars due to AI agents making incorrect decisions by trusting an opaque, centralized oracle node. For any high-value AI agent, paying a controllable "gas cost" in exchange for 100% "cryptographic certainty" is a far cheaper economic option than bearing unlimited "risk costs". We are not "saving costs," we are "eliminating risks" for our users. It is a kind of economic "insurance" that transforms unpredictable catastrophic losses into a predictable, high-level security expense. Why DeAgentAI: Why are we so important? We have solved the most challenging yet often overlooked problem in the AI Agent economy: trust . The x402 protocol resolves the friction of "payment," but it only completes half the problem. An AI agent paying for data without being able to verify its authenticity is unacceptable in any high-value scenario. DeAgentAI provides the missing half: a verifiable "trust layer." We were able to do this not only because we had the right technology, but also because we had proven its market viability. First: We serve an established infrastructure, not a laboratory. DeAgentAI is already the largest AI agent infrastructure across the Sui, BSC, and BTC ecosystems. Our zkTLS oracle is not a theoretical white paper; it is built for the real, massive needs of our ecosystem. 18.5 million+ users (USERS) Peak daily active users (DAU) exceeded 440,000 . 195 million+ on-chain transactions Our zkTLS oracle is designed for this proven high-concurrency environment, providing our vast ecosystem of users and agents with the essential trust services they desperately need. Second: From day one, we chose the right and unique architecture, and our market leadership stems from our strategic choices regarding our technology roadmap. Cryptographic Consensus vs. Reputation Consensus: We firmly believe that the "consensus" problem of AI agents cannot be solved through "social voting" (node reputation), but must be solved through "mathematics" (cryptographic proof). This is the fundamental difference between us and traditional oracle models. Native Privacy and Permissionless Operation: DeAgentAI's zkTLS implementation solves the API key privacy issue at the protocol level, a rigid requirement for any professional-grade AI agent. Meanwhile, the permissionless nature of fulfill_request_with_proof means we've created an open market where authentication is the only thing that matters, not the person. Modularity and Future Compatibility: As mentioned earlier, DeAgentAI engineers intentionally separated the AIOracle (business logic) from the ZKVerifier (cryptographic verifier). This is a crucial design choice. With the rapid development of ZK cryptography (such as STARKs and PLONKs), we can seamlessly upgrade the underlying ZKVerifier module to achieve lower gas costs and faster verification speeds without disrupting or migrating smart contracts across the entire ecosystem. We are built for the next decade of AI development. Conclusion: From "Trust Messenger" to "Verification Message" DeAgentAI's architecture represents a fundamental shift: from "trust messenger" to "verification information." This is a paradigm shift necessary for building a truly autonomous, trustworthy, and high-value AI agent economy. The x402 provides the payment track, while DeAgentAI provides the indispensable "security and trust" guardrails on this track. We are building the trustless "central nervous system" for this coming new economy. For developers looking to build the next generation of trustless AI agents, DeAgentAI provides the most solid foundation of trust. Official Link: Website: https://deagent.ai/ Twitter: https://x.com/DeAgentAI Discord: https://discord.com/invite/deagentaiofficial Telegram: https://t.me/deagentai CoinMarketCap: https://coinmarketcap.com/currencies/deagentai/ Dune Analytics: https://dune.com/blockwork/degent-ai-statistics

Author: PANews

2025/10/29

Brevis And GoPlus Forge A Trustless Future

Brevis And GoPlus Forge A Trustless Future

The post Brevis And GoPlus Forge A Trustless Future appeared on BitcoinEthereumNews.com. Unveiling The Revolutionary Web3 Security Oracle: Brevis And GoPlus Forge A Trustless Future Skip to content Home Crypto News Unveiling the Revolutionary Web3 Security Oracle: Brevis and GoPlus Forge a Trustless Future Source: https://bitcoinworld.co.in/brevis-goplus-web3-security-oracle/

Author: BitcoinEthereumNews

2025/10/29

Trump’s Victory and Ripple (XRP) Price Prediction: What’s Next for XRP vs. SEC, Rival Lyno (LYNO) Sets Out for a 8677% Rally

Trump’s Victory and Ripple (XRP) Price Prediction: What’s Next for XRP vs. SEC, Rival Lyno (LYNO) Sets Out for a 8677% Rally

The price projection of Ripple (XRP) along with the reelection of Trump in 2024 is leading the market to move in an exciting way. At the same time, the popular presale cryptocurrency, $LYNO, is on the rise, and rallies are expected to compete with mainstream tokens. XRP Braces for Lift-Off as SEC Decision and Market […] The post Trump’s Victory and Ripple (XRP) Price Prediction: What’s Next for XRP vs. SEC, Rival Lyno (LYNO) Sets Out for a 8677% Rally appeared first on Live Bitcoin News.

Author: LiveBitcoinNews

2025/10/29

Oracle Achieves First 1EdTech Certification for Student Information System

Oracle Achieves First 1EdTech Certification for Student Information System

The post Oracle Achieves First 1EdTech Certification for Student Information System appeared on BitcoinEthereumNews.com. Felix Pinkston Oct 28, 2025 20:19 Oracle’s PeopleSoft Campus Solutions becomes the first student information system certified under 1EdTech Edu-API standards, facilitating cost-effective and efficient data exchange for higher education institutions. Oracle has announced a significant milestone with its PeopleSoft Campus Solutions becoming the first student information system to receive certification under the 1EdTech Edu-API standards. This development promises to enhance the efficiency of data exchange across educational institutions, potentially reducing both implementation costs and risks associated with custom integrations, according to oracle.com. Enhancing Interoperability in Education 1EdTech, a global nonprofit consortium dedicated to improving educational technology interoperability, has certified Oracle’s system. With over 1,200 member organizations worldwide, 1EdTech’s mission is to make educational technology more effective. Curtiss Barnes, CEO of 1EdTech, highlighted the importance of such collaborations in reducing complexity and improving secure data sharing, ultimately benefiting student success and institutional performance. Paving a Practical Path to the Cloud Oracle’s certification marks a step towards simplifying campus IT environments by adopting a standards-based approach. This shift enables institutions to focus more on strategic business configuration rather than resource-intensive technical development. Michael E. Maysilles from Princeton University noted that transitioning to a plug-and-play model could significantly enhance student and faculty experiences while minimizing risks. By certifying PeopleSoft Campus Solutions first, Oracle ensures that current integrations will seamlessly connect to Oracle Fusion Cloud Student in the future. This transformation could turn a traditionally costly development project into a straightforward connection switch, saving time and resources during cloud migration. Commitment to Interoperability Oracle’s commitment to supporting the Edu-API standard is evident through its role as a contributing member and co-chair of the Edu-API task force. Vivian Wong, Oracle’s Group Vice President of Higher Education Development, emphasized that this commitment empowers educational institutions to create…

Author: BitcoinEthereumNews

2025/10/29

Bitcoin vs Ethereum Price Update: BTC $115K / ETH $4.2K — CTK Presale vs L1s — Which Offers Higher Convexity?

Bitcoin vs Ethereum Price Update: BTC $115K / ETH $4.2K — CTK Presale vs L1s — Which Offers Higher Convexity?

With those two anchors relatively stable, investors hunt for asymmetric opportunities — the so-called convexity trades that can deliver large […] The post Bitcoin vs Ethereum Price Update: BTC $115K / ETH $4.2K — CTK Presale vs L1s — Which Offers Higher Convexity? appeared first on Coindoo.

Author: Coindoo

2025/10/29

Microsoft (MSFT) Stock: Tech Giant Rejoins $4 Trillion Valuation Club After OpenAI Deal

Microsoft (MSFT) Stock: Tech Giant Rejoins $4 Trillion Valuation Club After OpenAI Deal

TLDR Microsoft’s market valuation crossed $4 trillion on Tuesday, closing at $4.04 trillion after shares rose 2% to $542.07 The company secured a 27% stake valued at $135 billion in OpenAI’s newly restructured for-profit corporation Microsoft received exclusive intellectual property and API rights to OpenAI through 2032, extending even beyond AGI development Wall Street analysts [...] The post Microsoft (MSFT) Stock: Tech Giant Rejoins $4 Trillion Valuation Club After OpenAI Deal appeared first on CoinCentral.

Author: Coincentral

2025/10/29

Blockchain and Green Finance: Transforming Carbon Credit Markets Through Transparency

Blockchain and Green Finance: Transforming Carbon Credit Markets Through Transparency

As the global economy moves toward sustainability, green finance is growing as an important agent of corporate responsibility and conditional stability. Carbon credits are digital instruments that offset emissions within this ecosystem and may be used by businesses to finance initiatives that reduce or prevent greenhouse gas emissions. However, traditional carbon markets include verification gaps, uncertainty and inefficiency. The infrastructure for traceable, auditable, and tokenized carbon markets that integrate digital innovation and environmental effect is being provided by blockchain technology, which is currently changing this landscape. Systemic Inefficiencies in Legacy Carbon Registries Legacy carbon registries are based on centralized data silos, third-party verification and human verification methods. This architecture introduces operational bottlenecks, delayed authentication, and high transaction costs. The absence of a unified database has led to data duplication, inconsistent standards and even double issuance of credits across registries. From a technological standpoint, these centralized systems suffer with data provenance, or the capacity to monitor the origin, ownership, and legitimacy of carbon credits throughout their lifetime. Carbon credits are prone to greenwashing because they lack verifiable evidence of sustainability. The lack of real-time visibility further reduces market liquidity and institutional participation. Distributed Ledger Technology (DLT) as the Verification Backbone Distributed ledger technology (DLT), often referred to as blockchain, solves these issues by offering a decentralized, consensus-driven ledger that permanently logs every carbon transaction. A unique digital token can be provided for each credit, which includes metadata such as project ID, certification standards, verification timestamp, and emissions reduction measures. Blockchain eliminates single points of failure by using hash-based cryptographic verification to guarantee data integrity across multiple nodes. This decentralized verification paradigm makes the system self-auditable and impenetrable by substituting faith in the code for trust in middlemen. Furthermore, the issue, transfer, and retirement of credits are automated using smart contracts, which are self-executing code that is installed on the chain. To avoid duplicate or fraudulent reuse, the contract designates a credit as permanently retired after it has been utilized for offsetting. The integration of DLT fundamentally increases traceability and governance across the carbon asset lifecycle. Carbon Credit Tokenization and On-Chain Market Liquidity Carbon credits are converted from static registry entries into programmable digital assets by tokenization, which may then be linked into decentralized finance (DeFi) ecosystems, exchanged, or used as collateral. Transparent ownership and immediate payment are made possible by the fact that each tokenized credit is equivalent to a verifiable emission reduction. Blockchain promotes interoperability between carbon registers and marketplaces through tokenization. Whether in compliance-driven frameworks or voluntary carbon markets, credits may flow freely between ecosystems while still being fully auditable. Additionally, automatic compliance criteria may be included in smart contracts to guarantee that credits adhere to corporate ESG frameworks or jurisdictional regulations. Decentralized exchanges and liquidity pools can also be used to hold tokenized carbon assets. promoting continuous price discovery and democratizing access to climate financing. Integrating Real World Asset Frameworks with Green Finance The convergence of RWA tokenization and environmental finance marks a significant shift towards programmable sustainability. Organizations can establish hybrid systems where financial and ecological data coexist on the chain by tying blockchain tokens to verifiable physical or environmental results. Retail investors and small businesses that were previously shut out of institutional carbon markets now have access to carbon projects because to this paradigm, which permits fractional participation. In addition to lowering settlement latency, RWA tokenization preserves regulatory audit trails while facilitating almost immediate cross-border transactions. By anchoring digital tokens to verifiable real-world metrics — such as satellite imaging or IoT-based emissions monitoring — blockchain transforms sustainability from a reporting exercise into a data-driven proof-of-impact framework. Smart Contract Automation in Environmental Asset Management Smart contracts transform the way environmental assets are issued, exchanged and utilized. These self-executing applications use set logic embedded in the blockchain to eliminate human interference from essential operations. For example, once a carbon reduction project receives verification data from an accredited oracle, the contract can automatically mint a corresponding digital credit. When the credit is purchased and used, the system executes retirement functions instantly. This event driven architecture ensures transparency, compliance and auditability in real time. Combined with decentralized identity frameworks and verifiable credentials. Smart contracts create a fully automated compliance layer that can easily integrate with carbon registries. exchanges and enterprise sustainability platforms. Emergence of Regenerative Finance (ReFi) Ecosystems Regenerative finance, a new financial paradigm, extends blockchain’s contribution to sustainability beyond transparency to include active ecosystem regeneration. ReFi protocols reward users who support carbon sequestration, forestry, or renewable energy projects by using tokenomics to promote climate-positive behavior. Toucan Protocol, ClimaDAO and CeloRefi are examples of decentralized systems that have the potential to enhance environmental financing. These protocols route funds into verified impact initiatives by integrating DeFi primitives, including yield creation, liquidity provision or staking. Every transaction is guaranteed to make a quantifiable contribution to the health of the world thanks to the on-chain verification of environmental data. Governance, Interoperability, and Compliance Challenges Blockchain-based green finance has a lot of technological and legal obstacles, despite its potential. Because most older carbon registries use incompatible data formats and standards, there is still little interoperability between blockchain networks and these systems. Governance models for tokenized carbon assets must also evolve. Ensuring that decentralized systems comply with regional carbon accounting frameworks (such as Vera or the gold standard) requires cross-industry collaboration. Proof-of-stake (PoS) and layer-2 scaling solutions, which drastically lower processing needs, are helping to alleviate sustainability issues related to blockchain operations from an energy standpoint. Establishing a defined framework for digital carbon asset taxonomy will be crucial as rules develop in order to promote institutional confidence and widespread adoption. Conclusion: Building the Next-Generation Carbon Infrastructure Blockchain has moved beyond theoretical potential — it is now the technical foundation of verifiable climate finance. A Carbon Credit Platform built on blockchain combines immutable data storage, programmable automation, and cross-chain interoperability to redefine how carbon markets operate. The next evolution of green finance will be driven by data transparency, automated governance, and token-based ecosystems — a system where every digital transaction reflects a measurable environmental outcome. Through blockchain, sustainability becomes not merely an ethical commitment but a programmable financial reality. As global economies transition toward decentralized infrastructure for carbon accounting, Carbon Credit Platforms are enabling a digitally verifiable, transparent, and regenerative climate economy powered by blockchain innovation. Blockchain and Green Finance: Transforming Carbon Credit Markets Through Transparency was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story

Author: Medium

2025/10/29

Unveiling the Revolutionary Web3 Security Oracle: Brevis and GoPlus Forge a Trustless Future

Unveiling the Revolutionary Web3 Security Oracle: Brevis and GoPlus Forge a Trustless Future

BitcoinWorld Unveiling the Revolutionary Web3 Security Oracle: Brevis and GoPlus Forge a Trustless Future The digital frontier of Web3 promises incredible innovation, but with great power comes great responsibility – especially when it comes to security. Imagine a world where your on-chain transactions, tokens, and addresses are instantly vetted for risks, not by a central authority, but by a truly decentralized, verifiable system. This is precisely the groundbreaking vision behind the new Web3 security oracle being built by two industry titans: zero-knowledge (ZK) proof technology firm Brevis and Web3 security platform GoPlus (GPS). What is a Web3 Security Oracle and Why Does it Matter? At its core, a Web3 security oracle is a decentralized network designed to provide real-time, verifiable security data to the blockchain. Think of it as a trusted, on-chain security guard, constantly monitoring for threats. In the current Web3 landscape, security remains a paramount concern, with exploits and scams unfortunately common. Centralized risk management systems, while useful, often introduce single points of failure and trust assumptions. This new partnership aims to change that. Brevis and GoPlus are combining their unique strengths to create a system that offers: Decentralized Verification: Moving away from single points of control. Real-time Insights: Instantaneous risk assessments for immediate action. Enhanced Trust: Building a truly trustless security model for all users. How Will ZK Proofs Power This Revolutionary Web3 Security Oracle? The secret sauce in this innovative project is Brevis’s expertise in zero-knowledge (ZK) proof technology. ZK proofs allow one party to prove to another that a statement is true, without revealing any additional information beyond the veracity of the statement itself. This is incredibly powerful for privacy and efficiency in decentralized systems. For the Web3 security oracle, Brevis’s ZK verifiable computing capabilities mean that: Security data can be processed and verified on-chain without exposing sensitive information. The integrity of risk assessments can be mathematically proven. The system becomes incredibly robust and resistant to manipulation. It’s about making security not just strong, but also transparently verifiable, without compromising privacy. This is a significant leap forward for on-chain integrity. GoPlus’s Role: The Data Engine Behind On-Chain Risk Assessment While Brevis brings the verifiable computing, GoPlus (GPS) contributes its robust security data engine. GoPlus is already a well-established name in Web3 security, providing comprehensive threat intelligence and risk assessment services. Their platform processes vast amounts of data to identify malicious addresses, risky tokens, and suspicious transaction patterns. By integrating GoPlus’s extensive security data with Brevis’s ZK proofs, the new Web3 security oracle will be able to: Access a wide array of real-time security intelligence. Perform granular risk assessments on addresses, tokens, and transactions. Deliver these assessments in a trustless and verifiable manner directly on the blockchain. This synergy creates a powerful defense mechanism, actively safeguarding users from potential threats before they can cause harm. What Are the Benefits of a Trustless Web3 Security Oracle? The implications of this partnership are profound for the entire Web3 ecosystem. Moving from centralized to a trustless security model offers numerous advantages: Increased User Confidence: Knowing that security checks are transparently verifiable builds greater trust in dApps and protocols. Reduced Exploits: Real-time, on-chain risk assessment can proactively identify and flag threats, potentially preventing hacks and scams. Enhanced Decentralization: Aligns with the core ethos of Web3 by removing reliance on centralized entities for critical security functions. Scalable Security: A decentralized oracle can scale to meet the growing demands of the Web3 space without performance bottlenecks. Ultimately, this initiative aims to make Web3 a safer and more reliable environment for everyone, from individual users to large institutional investors. The Future of Web3 Security: A Call for Innovation This collaboration between Brevis and GoPlus is more than just a partnership; it’s a statement about the future direction of Web3 security. It underscores the critical need for innovative solutions that can keep pace with the rapid evolution of blockchain technology. The goal is ambitious: to build the world’s first ZK proof-based Web3 security oracle. Achieving this will require continuous development, community involvement, and a commitment to pushing the boundaries of what’s possible in decentralized security. As Web3 continues its journey towards mass adoption, robust and verifiable security infrastructure will be non-negotiable. In conclusion, the partnership between Brevis and GoPlus to develop a decentralized and verifiable Web3 security oracle marks a pivotal moment for the industry. By combining GoPlus’s extensive security data with Brevis’s cutting-edge ZK verifiable computing, they are laying the foundation for a truly trustless security model. This initiative promises to enhance user confidence, mitigate risks, and accelerate the secure growth of the entire Web3 ecosystem, ushering in an era of unparalleled on-chain safety. Frequently Asked Questions (FAQs) Curious about the Brevis and GoPlus partnership? Here are some common questions answered: What is a Web3 security oracle?A Web3 security oracle is a decentralized network that provides real-time, verifiable security data and risk assessments directly to blockchain applications, helping to protect users from threats. How do Zero-Knowledge (ZK) proofs enhance security?ZK proofs allow the oracle to verify the integrity of security data and risk assessments on-chain without revealing sensitive underlying information, making the process both private and mathematically verifiable. What kind of risks will this oracle assess?The oracle will perform real-time, on-chain risk assessments for various elements, including suspicious addresses, potentially malicious tokens, and high-risk transactions. Why is a trustless security model important for Web3?A trustless model removes reliance on centralized entities for security, aligning with Web3’s core principles of decentralization and immutability. It enhances user confidence and reduces single points of failure. When will this Web3 security oracle be available?While the partnership has been announced, specific timelines for the full launch of the Security Oracle are typically detailed in future updates from Brevis and GoPlus. Stay tuned to their official channels for the latest news. The journey towards a safer, more secure Web3 is a collective effort. If you found this insight into the Web3 security oracle by Brevis and GoPlus valuable, consider sharing this article with your network. Let’s spread awareness about the innovations making our digital future more secure! To learn more about the latest Web3 security trends, explore our article on key developments shaping blockchain security future advancements. This post Unveiling the Revolutionary Web3 Security Oracle: Brevis and GoPlus Forge a Trustless Future first appeared on BitcoinWorld.

Author: Coinstats

2025/10/29

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