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lifecycle

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Flash

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.

Western Digital CPO: Flash memory handles the present, HDD manages the entire lifecycle

Ahmed Shihab, Chief Product Officer of Western Digital, stated that the key to AI storage competition is not simply pursuing the fastest medium, but whether it can continuously scale capacity at an affordable cost. He believes that many architectures run well in the early stages, but when the data scale grows from several PB to hundreds of PB or even EB levels, issues may arise due to uncontrolled costs.Flash storage is suitable for high-performance, low-latency scenarios such as model weights, GPU overflow, KV caches, and session contexts; HDDs are more suitable for large-scale, long-term storage, and cost-sensitive data such as training corpora, logs, checkpoints, compliance records, synthetic data, and inference outputs. He summarized: "Flash handles the present, HDD handles the entire lifecycle."At the scale of AI, storage costs themselves will become an architectural issue. Long-term storage of large volumes of data on high-performance media will crowd out budgets for computing, networking, power, and personnel. For many bulk storage workloads, the issue is not whether flash can store, but whether customers can afford the total cost of using flash in the long term.In the future, AI storage will not be dominated by a single technology, but should be designed in layers based on performance, cost, power consumption, density, reliability, and data lifecycle. He emphasized that this is not a competition between flash and HDD, but rather a need to match the appropriate medium for different workloads from the very beginning; otherwise, the architecture may impact business sustainability as it scales.

GSR invested $57 million to acquire Autonomous and Architech, entering the cryptocurrency full lifecycle capital market

Cryptocurrency market maker GSR announced the acquisition of Autonomous and Architech for $57 million, building an integrated capital market and fund management platform that covers the entire lifecycle of projects from launch to expansion.After the acquisition is completed, Autonomous will continue to operate independently, providing support for the launch and operation of tokenized organizations; Architech will become a core component of GSR's digital asset consulting business. This acquisition marks GSR's further transformation into a "one-stop capital market service provider for crypto," strengthening its layout in the institutional-grade infrastructure and full-cycle service fields.This integration aims to address the current issues in the crypto industry regarding the decentralization of services and inconsistent incentives in areas such as token issuance, governance design, liquidity, financing, and listing strategies, by providing collaborative support through a unified framework. Additionally, clients will have access to GSR's existing institutional trading, derivatives, and asset management capabilities. GSR stated that the platform will also focus on enhancing the treasury management capabilities of crypto projects, covering liquidity planning, cash flow forecasting, risk management, and asset allocation strategies, promoting the transition of crypto funds from passive holding to sustainable returns and diversified allocation.
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