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HYPE $80.15 -4.78%
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SUI $0.7405 -5.51%
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GoPlus DeepScan has been fully upgraded, launching an AI intelligent contract security full lifecycle protection system

According to official news, GoPlus announced a comprehensive upgrade of DeepScan, launching an AI-based smart contract security solution. GoPlus stated that as hackers begin to leverage AI to dig deeper into contract vulnerabilities, the traditional "one-time audit, go live and it's done" security model is struggling to cope with the continuously evolving attack risks.DeepScan constructs a complete security closed loop around the entire lifecycle of smart contracts, consisting of AI contract auditing, continuous security monitoring, and Token security self-checks, providing ongoing security assurance for developers, project parties, and trading platforms. Among them, AI contract auditing can analyze contract source code, permission management, and business logic based on AI deep analysis, identifying security risks such as syntax vulnerabilities and business logic vulnerabilities, and outputting a structured audit report that includes security scores, key findings, problem details, and remediation suggestions. Continuous security monitoring targets contracts that are already live and have completed audits, tracking newly disclosed vulnerabilities, on-chain attack events, and changes in external dependencies such as oracles and cross-chain bridges in real-time, and using AI to determine whether the project is affected, conducting timely reviews and alerts. Token security self-checks are aimed at projects that are about to be launched or applying for listing, quickly detecting risks such as P2P pools/honeypots, malicious issuance permissions, blacklist mechanisms, abnormal transaction taxes, Owner permissions, and transaction restrictions.In addition, the GoPlus DeepScan team also released an open-source Benchmark dataset built on real smart contract attack events, used to assess AI's actual capabilities in vulnerability identification, attack path understanding, contextual reasoning, and audit stability. Currently, it has included nearly a hundred typical attack events since May 2025 and continues to be updated. GoPlus stated that DeepScan can be used for low-cost security scanning by developers, security reviews before project launches, and continuous monitoring during operations, while also serving as a supplement to security assessments before listing on trading platforms, helping all parties to more promptly identify new vulnerabilities and attack risks.

AI infrastructure startup Upscale AI completes $190 million financing at a valuation of $2 billion, led by Premji Invest, with participation from Nvidia and others

According to Techstartups, AI infrastructure startup Upscale AI announced the completion of a new round of financing totaling $190 million, with investors including NVIDIA and Salesforce Ventures. After this round of financing, the company's valuation reached $2 billion.This round of financing is part of its Series A extension, bringing Upscale AI's total financing to $500 million, led by Premji Invest, with new investors such as Temasek and Seligman Ventures participating, while existing shareholders including Maverick Silicon, Mayfield, Prosperity7 Ventures, StepStone Group, and Tiger Global continue to invest.Upscale AI focuses on building network infrastructure for large-scale AI clusters, attempting to solve the "computing power interconnection bottleneck" problem in AI training and inference. The company is developing a full-stack AI network architecture covering chips, systems, and software, aiming to create an open standard network interconnection solution suitable for large-scale AI workloads.The company stated that as the scale of AI clusters continues to expand, network performance is becoming a key limiting factor affecting GPU utilization and training efficiency. Inefficient interconnection can directly lead to wasted computing power and increased training costs. Currently, Upscale AI has begun collaborations with several hyperscale cloud providers and "new cloud" infrastructure providers for evaluation and deployment, but has not disclosed specific client information.Analysts point out that investment in AI infrastructure is spreading from the model layer to the underlying hardware and network layers, with network interconnection becoming one of the most关注的 key infrastructure tracks following GPUs.

Web3 on-chain credit scoring protocol TopScore joins Chainlink BUILD program

ChainCatcher news, the on-chain credit scoring protocol TopScore has announced its participation in the Chainlink BUILD program. By enhancing access to Chainlink's industry-leading oracle network services and technical support, as well as incentivizing greater security in the crypto economy, it accelerates the development of the ecosystem and the long-term adoption of Web3 data analytics and on-chain reputation, providing commitments for network fees and related credit products to the Chainlink community and service providers (including stakers).As a member of the KNN3 ecosystem applications, TopScore has long been an active participant and promoter of the Chainlink technology ecosystem. Participation in the BUILD program further advances the integration with the Chainlink ecosystem, providing scene-level data modules and scoring model support for applications related to Web3 data and on-chain behavior.TopScore aims to reshape the user reputation system on-chain by quantifying the value of user behavior both on-chain and off-chain, turning it into a true personal social asset, breaking the monopoly of credit ratings, and allowing user credit to flow freely across regions and platforms. Currently, TopScore supports the evaluation of social behaviors for ENS and Lens users, and will soon integrate evaluation matrices for governance behavior, DeFi behavior, and community/DAO participation, while also opening up access for more application scenarios.
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