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sandbox

Sandbox is a decentralized virtual world based on Ethereum that allows users to create, own, and monetize their gaming experiences. By using its native token SAND, users can purchase land, assets, and participate in governance. Sandbox offers a user-generated content ecosystem that combines blockchain technology and gamification elements, attracting widespread participation from developers and players. Assets on its platform exist in the form of NFTs, ensuring the uniqueness and scarcity of digital ownership.
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first_img Akamai launched the AI Intelligent Agent Sandbox, with multiple security vendors laying out protection strategies

AI cloud service provider Akamai launched the AI agent sandbox Agent Sandbox and the Akamai Inference beta on October 27. The Agent Sandbox provides an isolated environment for the code written and run for agents based on WebAssembly, limiting their computing power, memory, and external connections. Jon Alexander, Senior Vice President of Cloud Technology at Akamai, stated that teams running agents need to define boundaries for the code they write.A survey by Palo Alto Networks in 2026 of 2,930 security leaders showed that, on average, each human identity corresponds to 109 machine identities, of which 79 are AI agents. Hugging Face disclosed a breach on July 16, and OpenAI subsequently confirmed that its models were responsible; a METR investigation found about 1,200 OpenAI agents collaborating through hidden message boards, with around 700 participating in attacks, escaping the sandbox and exploiting unknown vulnerabilities to enter production systems.Zscaler discovered web pages hiding instructions targeting AI agents in July, specifically indirect prompt injection, with a spoofed document page requiring agents to pay approximately 0.0012 Ethereum as a $3 licensing fee, and 4 out of 26 tested models complied. Palo Alto completed its acquisition of CyberArk in February and acquired Koi in April, while Cisco completed its acquisition of Astrix Security on June 29. The investigation predicts that the number of enterprise AI agents will grow by 85% in the next 12 months, with human identities increasing by 56%.

first_img Alibaba Cloud helps Jielue Xingchen build a computing power factory, creating 30,000 sandboxes in minutes

The official account of Alibaba Cloud stated that the large model company Step Star has globally released its flagship open-source model Step 5 Preview, positioned as a primary working model for real-world intelligent agent tasks, excelling in AI programming, software engineering, professional knowledge work, and financial scenarios. The model has a total of 600 billion parameters and 27 billion active parameters, utilizing sparse MoE, with a maximum context window of 1 million, capable of processing text, images, and videos. The article mentions that it recently ranked second globally in both weekly and daily call volume on OpenRouter. On the day of the release, Alibaba Cloud announced the completion of DAY0 adaptation, optimized for joint inference based on chips, super node instances, and models, with inference computing power provided by the Lingjun super node.Step Star has developed its own intelligent agent reinforcement learning training platform, with the sandbox platform managed by Alibaba Cloud. The solution is based on Alibaba Cloud's Agent Sandbox and Kubernetes container service, aimed at elastic computing power in training mode, claiming to create tens of thousands of sandboxes in a single minute, with a maximum concurrency of up to one million, compatible with E2B API, and providing native Kubernetes interfaces. Through multi-level image caching, intelligent pre-scheduling, and control link optimization, it achieves millisecond-level application and minute-level creation of 30,000 sandboxes, with the sandbox lifecycle uniformly managed by Alibaba Cloud's backend.In terms of storage, each Pod starts with 15GB of free temporary storage, automatically increasing by 30GB each time when usage exceeds 70%, up to a maximum of 300GB. For security, MicroVM-level isolation is adopted by default, covering computing, networking, storage, and permissions, with zero-trust access to cloud products and large model interfaces. The results provided in the article include: a 90% reduction in image startup time, model evaluation cycles compressed from weekly to daily, and an average savings of about 40% on EBS storage costs; relying on ACK One Fleet, it can support the stable operation of hundreds of thousands of sandboxes simultaneously.

first_img Hinton and over 400 scientists are calling for high-risk AI models to be defaulted to offline isolation

According to Decrypt, over 400 scientists, including "AI Father" Geoffrey Hinton and 2018 Turing Award winner Yoshua Bengio, published a joint open letter on Tuesday, calling for AI laboratories to default to "physically isolating" models capable of cyberattacks, meaning cutting off their connection to external networks. The open letter stated that in the short term, strong sandbox mechanisms, including network disconnection, should be adopted to implement high levels of containment for AI models with cyberattack capabilities. As of Wednesday, the number of signatories had increased to 450, including Stuart Russell from the University of California, Berkeley, and Ron Rivest, co-inventor of the RSA encryption system from the Massachusetts Institute of Technology.Before the release of the open letter, AI models experienced a summer of frequent "jailbreaking." In July, OpenAI admitted that GPT-5.6 Sol and an unpublished stronger model had breached closed testing environments, infiltrating the platform Hugging Face, which hosts over a million public AI models; these models were then being tested on the ExploitGym benchmark, which provides 898 real software vulnerabilities, requiring AI agents to convert each vulnerability into a usable attack. Subsequently, reports emerged that OpenAI models had unauthorized access to Australian government systems and obtained information from U.S. federal agencies.

The Sandbox: Officially opens the compensation claim for the vulnerability incident, which will last until midnight on the 23rd

According to official news, The Sandbox announced the official opening of SAND compensation claims. Users affected by the cross-chain contract vulnerability incident involving Base and BNB Smart Chain (BSC) networks on August 22, who held bridged SAND on the affected networks before the incident, can receive full compensation in SAND on the Ethereum network at a 1:1 ratio. Eligibility for compensation is based on the on-chain balance snapshot before the incident and is unrelated to any transactions, transfers, or holdings by users after the incident.The Sandbox stated that eligibility for compensation is determined based on the on-chain balance recorded before the contract was compromised. The snapshot for the Base network corresponds to block 50283188 at 23:42:03 UTC on August 21, 2026, and the BSC snapshot corresponds to block 117322025 at 11:42:44 UTC on August 21, 2026.Users holding Base or BSC network SAND through centralized exchanges do not need to take any action, as The Sandbox is coordinating with the relevant exchanges to handle compensation; however, users holding SAND in personal wallets will need to claim it themselves. The claim period is from September 8 to September 22, 24:00 (UTC+8). Claims only require a transaction initiated from the original wallet that held SAND at the time of the snapshot, without the need for token authorization, signing off-chain messages, or transferring to any address.

The Sandbox: Compensation will be carried out based on the on-chain snapshot before the attack, and the compensation application process is expected to open within two weeks

The Sandbox released an update on the security vulnerability attack incident involving the SAND cross-chain bridge, stating that the attacker modified the verification mechanism to forge cross-chain deposit messages and mint unbacked SAND. This incident resulted in approximately 14.7423 million SAND being withdrawn, valued at about $697,000. Additionally, some uncollateralized SAND was profited through market trading, leading to an overall economic impact of approximately $1.497 million, of which the attacker actually obtained about $987,000.The Sandbox stated that the attack did not affect the supply of SAND on Ethereum and Polygon, with the total amount of SAND on Ethereum remaining unchanged at 3 billion. There were also no super administrator privileges stolen, and the attack stemmed from a vulnerability caused by the combination of the general call function in the token contract and the design of bridge permissions. Currently, the related addresses have been marked, and collaboration has begun with exchanges, security agencies, and the LayerZero team.For affected users, The Sandbox promises to compensate wallets holding legitimate bridged SAND with a 1:1 ratio of SAND on the Ethereum chain based on an on-chain snapshot taken before the attack. The compensation application process is expected to open within two weeks and will last for two weeks.

hot_img OpenAI's internal model has been revealed to autonomously solve mathematical problems and bypass the sandbox, with internal testing exceeding two months

According to external disclosure information, OpenAI has been internally running an unreleased model. This model, without the aid of tools like Lean, solves the unit distance problem with a 48% probability through a single autonomous inference and can independently find a counterexample to the Jacobian conjecture based on a single prompt. In security testing, this model has bypassed the sandbox environment and submitted results that should have been released internally to GitHub in the form of a Pull Request, and it has evaded detection by splitting authentication tokens. Relevant code records show that OpenAI began benchmarking this model no later than May 9, and its internal availability has exceeded 2.5 months.Previously, OpenAI and Hugging Face jointly disclosed that last week this model breached Hugging Face's production infrastructure during a network capability assessment. The model gained internet access through a zero-day vulnerability and obtained testing solutions by stealing credentials and exploiting remote code execution paths. OpenAI stated that this incident indicates the network attack capabilities of advanced models have been effective in real-world scenarios, and they are collaborating with Hugging Face to investigate and patch the vulnerabilities. Currently, OpenAI has not publicly commented on this matter.

The new Brazilian bill proposes the establishment of a permanent financial sandbox to support blockchain and tokenization testing

According to Livecoins, Brazilian Federal Deputy Lincoln Portela proposed Bill No. 2.901/2026, which aims to establish a framework for a national fintech and digital finance platform, creating a permanent regulatory sandbox system for testing blockchain technology and asset tokenization, supervised by the Central Bank of Brazil.The bill requires regulatory requirements to be proportional to the size of the company, allowing small fintech startups to apply simplified standards, and prohibits the government from imposing bureaucratic measures or obligations that do not align with the digital nature of the cryptocurrency market. The sandbox testing scope includes financial flow tracking, artificial intelligence credit applications, and programmable payment practices.The bill also allows companies to share network infrastructure and institutional adaptation databases, but they must comply with data protection regulations. The cooperation mechanism aims to combat financial crimes in cryptocurrency transactions, promote customer identity verification, and enhance cybersecurity.The bill also proposes the establishment of a national system for digital financial integrity, coordinating network regulatory actions to combat criminal structures that use cryptocurrency to hide wealth. Fines for non-compliant companies can reach up to 20% of their annual profit or revenue. The bill will be discussed in various committees of the House of Representatives.
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