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Bristows 报道美国上诉法院缩小了 CFAA 对 Perplexity 人工智能代理的索赔范围

Bristows 报道称,美国巡回法院在发现 Amazon 没有表明 Perplexity 本身根据《计算机欺诈和滥用法》访问了 Amazon 的服务器后,推翻了针对 Perplexity 的禁令。该裁决涉及临时救济,Amazon 的基本案件仍在审理中。

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Source-provided image accompanying Bristows reports US appeals court narrowed CFAA claim against Perplexity’s AI agent
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inquisitiveminds.bristows.com
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inquisitiveminds.bristows.comhttps://inquisitiveminds.bristows.com/post/102nrgf/agentic-ai-us-court-finds-that-perplexitys-ai-agent-did-not-access-amazons-s
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背景60 秒内了解这一点

从这里开始

关键术语

Perplexity
一种语言模型指标,衡量模型对真正的下一个标记的惊讶程度。
人工智能代理
一种可以观察、推理并采取行动来实现目标的软件系统,通常使用工具和内存。
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发生了什么

Bristows reports that a US Circuit Court overturned a preliminary injunction preventing ’s Assistant from operating on Amazon.com. The court found that, for the specific CFAA claim at issue, the user—not Perplexity or the software itself—accessed Amazon’s computers. The decision did not resolve Amazon’s broader claims or determine whether Perplexity could avoid liability in other legal or contractual contexts.

Bristows reports that Amazon sued in November 2025, alleging that Perplexity’s shopping Assistant wrongfully accessed Amazon customers’ accounts and disguised agent activity as human browsing. Amazon argued that the activity violated its Conditions of Use and the US Computer Fraud and Abuse Act, or CFAA. For the relevant CFAA theory, Amazon needed to show, among other elements, that Perplexity intentionally accessed a computer without authorization or exceeded authorized access and obtained information from it. The dispute concerns how existing computer-access law applies to an AI system performing tasks at a user’s direction.

Bristows says the District Court granted Amazon a preliminary injunction in March 2026, concluding that Amazon had shown a likelihood of success on its CFAA claim and likely irreparable harm without an injunction. The injunction barred use of the Assistant on Amazon.com. The Assistant can browse Amazon to locate products and make purchases. When activated by a user, it takes screenshots of the browser view and sends them from the user’s computer to ’s servers. Those servers send navigation instructions back to the Assistant, which acts on Amazon.com using both the user’s direction and the provider’s instructions.

Bristows reports that the Circuit Court overturned that decision on August 4, 2026, finding that Amazon was unlikely to succeed on the merits because it had not shown that “accessed” Amazon’s computers for purposes of the CFAA. The court concluded that Perplexity itself did not directly communicate with Amazon’s servers. It also held that the Assistant could not be treated as the intentional accessor because the software was not a “person for statutory purposes.” On the facts described by Bristows, the court instead treated the user as the party accessing Amazon with the Assistant’s help.

Amazon argued that should be treated as the accessor because its servers directed the Assistant’s behavior and the Assistant acted autonomously like a human shopper. Perplexity argued that no Perplexity computer entered the user’s Amazon account: Amazon data was first transmitted to the user’s computer and then to Perplexity through browser screenshots. Perplexity also argued that the Assistant had no independent intent and acted only on the user’s behalf. Bristows notes that the appeals court’s conclusion addressed the CFAA’s specific access requirement, not every possible basis for liability.

来源详情: inquisitiveminds.bristows.com ↗

为什么这很重要

The ruling offers an early judicial treatment of responsibility when an acts through a user’s browser while receiving instructions from an AI provider’s servers. Bristows says the court adopted a narrow interpretation of “access” under a statute aimed at hacking, leaving unresolved how liability should be assigned when an agent’s actions are partly directed by a provider and partly initiated by a user.

Bristows’s account matters because the ruling separates technical control from statutory access. ’s servers reportedly supplied the instructions needed for the Assistant to complete a task, yet the court did not treat that role as equivalent to Perplexity directly entering Amazon’s computers. The result leaves a gap between how an operates in practice and how older statutes describe a human or company accessing a computer. That gap could affect disputes involving browsing agents, purchasing agents, coding systems, and other tools acting through a user-controlled environment.

The decision illustrates the limits of applying a statute designed to combat hacking to newer automated activity. Bristows reports that the Circuit Court stressed it was deciding only the meaning of “access” under the CFAA and did not treat the statute as a broad misappropriation law. The narrow reading may prevent the preliminary injunction from becoming a sweeping rule about AI-agent responsibility. It also should not be read as a general declaration that providers are insulated from consequences when their systems cause unauthorized or harmful outcomes.

The attribution question is important for businesses and consumers adopting agentic AI. Bristows says the court’s reasoning ascribed the relevant access to the user, even though the Assistant depended on ’s server-side instructions. If applied elsewhere, parties may face uncertainty about whether responsibility for an agent’s choices belongs to the person who initiated the task, the provider that designed and operated the agent, or both. The answer could influence procurement, insurance, platform rules, incident response, and agreements allocating responsibility for agent behavior.

Bristows also reports that the Circuit Court rejected Amazon’s argument that it would suffer irreparable cyber-risk harm without an injunction, describing the supporting evidence as limited. That narrows the ruling’s immediate significance: it did not establish that the Assistant’s activity was harmless, authorized in every sense, or safe for Amazon’s systems. It found only that the evidence and legal theory presented at the preliminary-injunction stage were insufficient. An interim ruling does not substitute for a final determination after fuller factual development.

Interactive Mechanism

互动机制:它实际上是如何运作的

以交互方式探索这一发展背后的基础技术。

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
交互式概念检查+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

接下来看什么

Amazon’s substantive proceedings against remain ongoing, according to Bristows. Key unresolved questions include whether other legal theories, contractual claims, or different facts could produce a different result; how courts will attribute an agent’s intent; and what remedies customers may have when an causes harm. The underlying judgment and broader case record were not independently reviewed here.

The most immediate development to watch is the continuation of Amazon’s substantive case against . Bristows states that the underlying proceedings remained ongoing when it published its analysis. Future stages could address claims or evidence not resolved by the preliminary injunction appeal, including whether Perplexity violated Amazon’s contractual conditions, whether account information was handled improperly, and whether the Assistant’s operation caused a legally recognized harm. The source does not provide a trial date, final ruling, damages figure, or settlement information.

Courts may confront different technical arrangements. The outcome could differ if an AI provider’s own infrastructure directly connects to a target service, if the provider uses credentials controlled by the provider rather than the user, or if the agent operates without a clear user instruction for a particular act. Bristows’s article does not establish how the appeals court would treat those scenarios. It also does not establish whether another court, another statute, or a different jurisdiction would adopt the same interpretation of access or intent.

Contract language will be another important area to monitor. Bristows says customers of agentic AI tools may have limited recourse against suppliers if an agent goes rogue. That is a legal concern raised in the article, not a finding that all such contracts are inadequate. Organizations considering these systems will need to examine who authorizes actions, how credentials and browser sessions are controlled, what logs are retained, how disputed actions are investigated, and whether providers accept responsibility for provider-directed behavior. The source does not identify specific contract terms or customer disputes.

Finally, Bristows raises—but does not resolve—the possibility that courts might view the risks differently after other reported AI-agent incidents, including a later hack involving OpenAI agents and Hugging Face. That comparison is speculative and should not be treated as evidence in the Amazon case. The key unknown is whether future courts will develop a more tailored framework for assigning responsibility across users, providers, and software, or continue applying existing doctrines one element at a time. The underlying Circuit Court opinion was not independently reviewed for this assessment, so the account remains attributed to Bristows.

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