StrongestLayer Adds AI Reasoning Engine to Validate Emails
好的,我需要帮用户总结一篇文章的内容,控制在100字以内,而且不需要特定的开头。首先,我得通读整篇文章,抓住主要信息。 文章讲的是StrongestLayer公司添加了一个AI工具到他们的邮件保护平台。这个工具实时评估邮件来源的合法性,防止钓鱼攻击。CEO提到AIAdvisor使用了大语言模型的推理引擎,通过分析来源、社交媒体资料等来判断邮件是否可信。 然后,这个工具作为插件运行在Outlook和Gmail上,评估发件人的历史和风险评分。评分由三个LLM生成:一个支持邮件合法性,一个反对,第三个作为裁判。这种方法比传统的模式匹配更高级。 文章还提到人类很难识别复杂的钓鱼攻击,导致很多时间浪费在调查合法邮件上。StrongestLayer的研究显示安全团队每季度浪费超过160小时,错误率高达60-70%。而AIAdvisor将错误率降到1%以下。 最后,文章讨论了网络犯罪分子可能也在利用AI制造更精准的钓鱼攻击,但防御方可能最终能从AI中获益更多。 总结下来,我需要把这些关键点浓缩到100字以内:公司、AI工具、功能、工作原理、优势以及对未来的展望。 </think> StrongestLayer推出AI工具AI Advisor,实时评估邮件来源合法性以防止钓鱼攻击。该工具利用大语言模型推理引擎分析发件人背景及社交媒体资料,并通过三个LLM生成风险评分。此方法超越传统模式匹配技术,在复杂钓鱼攻击频发背景下提升识别准确性,并大幅降低误报率至1%以下。 2025-10-29 13:0:26 Author: securityboulevard.com(查看原文) 阅读量:13 收藏

StrongestLayer today added an artificial intelligence (AI) tool to its email protection platform that evaluates the provenance of messages in real time to validate their legitimacy.

Company CEO Alan LeFort said AI Advisor takes advantage of a reasoning engine based on large language models (LLMs) that is able to triangulate the source of a message and other indicators, such as social media profiles, to assess whether an email is likely a phishing attack.

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Designed to run as a plug-in for Microsoft Outlook and Gmail from Google, AI Advisor will, for example, assess how long the source of the message has existed to then assign a risk score to any message that is being received for the first time from an unknown sender, said LeFort.

That risk score is assessed by three LLMs that have been trained to first make a case for the legitimacy of an email, while a second builds a case against it. A third LLM then acts as a judge based on the arguments made by the first two LLMs.

That reasoning capability goes far beyond the competitively simple AI pattern-matching techniques that are currently being relied on to identify potential email threats, said LeFort.

That capability is now crucial because, as phishing attacks have become more sophisticated in the age of artificial intelligence (AI), it has become too difficult for humans to identify fraudulent messages, he noted.

In fact, it turns out most of the emails that humans suspect of being phishing attacks turn out to be legitimate, said LeFort. Cybersecurity teams, unfortunately, are wasting a lot of time investigating emails that AI Advisor could easily validate in real time, he added.

According to research conducted by StrongestLayer, security teams, on average, waste more than 160 analyst hours a quarter investigating legitimate emails, with false positive rates reaching 60-70% because employees are not able to distinguish between a phishing lure and a legitimate email. AI Advisor rescues those false positive rates to less than 1%, said LeFort.

Once a legitimate email is validated, StrongestLayer also enables cybersecurity teams to share security tips that are much more effective than a 15 to 30-minute training video, noted LeFort.

It’s not clear to what degree cybercriminals are leveraging AI to craft better phishing attacks, but as advances continue to be made, the social engineering tactics and techniques are evolving. Cybercriminals are becoming much more adept at targeting specific individuals using personal information they can now much more easily aggregate from across the web. The days when cybercriminals would launch the same email, complete with misspellings, to thousands of potential victims are coming to a close as the cost of launching more targeted campaigns continues to drop.

Each cybersecurity team will need to determine how best to apply AI to combat these threats, but it’s clear that an arms race is underway. In fact, cybercriminals are currently enjoying what might be considered a first-mover AI advantage. However, longer-term defenders might soon discover that they are likely to benefit a lot more from AI, as many tedious manual tasks that have taken far too long to complete are increasingly automated.

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文章来源: https://securityboulevard.com/2025/10/strongestlayer-adds-ai-reasoning-engine-to-validate-emails/
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