AI News 09月08日
Booking.com利用AI应对在线欺诈
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Booking.com的高级产品经理Siddhartha Choudhury在接受AI News采访时,分享了公司如何运用人工智能技术来保障用户预订和数据安全,有效抵御在线欺诈。文章指出,Booking.com处理海量数据,不仅要防范信用卡盗刷,还要应对虚假评论、营销诈骗、网络钓鱼和账户被盗等多种安全威胁。公司采取组合策略,融合多款供应商的机器学习解决方案与自研AI技术,并面临在提升性能与控制成本之间的权衡。AI正帮助Booking.com从被动响应转向主动预测,通过AI助手赋能安全分析师,提高效率。同时,Booking.com高度重视AI的伦理应用,确保其公平性、透明度和用户隐私。

🛡️ **AI驱动的安全防护体系**:Booking.com利用人工智能技术构建了强大的安全防护体系,以应对在线欺诈威胁。这包括处理海量数据(petabytes级别),识别和抵御包括信用卡欺诈、虚假评论、营销诈骗、网络钓鱼以及账户盗用在内的多种安全风险。公司结合了多款供应商提供的内置机器学习解决方案以及自研的AI技术,形成了一个多层次的安全策略。

⚖️ **性能与成本的平衡挑战**:随着网络威胁的日益复杂和数据量的不断增长,Booking.com面临着在提升安全系统性能与控制运营成本之间的持续权衡。这意味着需要在开发更先进的防御措施以应对更复杂的攻击,以及在确保成本效益之间做出明智决策。

🚀 **主动式威胁检测与效率提升**:Booking.com正通过AI实现从被动响应向主动预测的转变。通过将系统迁移至云端,并部署多个人工智能助手与安全分析师协同工作,显著提高了安全团队的工作效率,减少了重复性劳动。AI助手能够快速处理大量数据,使人类专家能更专注于关键威胁的分析与决策。

💖 **AI伦理与用户信任**:Booking.com将AI的伦理考量置于其安全策略的核心。这包括积极检查AI是否存在偏见,确保公平性;保留必要的人工监督以识别误报;确保AI决策的可解释性,以便追溯和问责;并始终以用户数据保护、隐私和合规为基础,确保所有操作均在用户同意的前提下进行,从而维护用户信任。

AI News caught up with Siddhartha Choudhury, a Senior Product Manager at Booking.com, to get the inside scoop on how the technology is keeping your bookings – and data – safe from security threats like online fraud.

When you book a holiday online, you’re placing a lot of trust in a website. You trust it with your money, your personal details, and your travel plans. For a giant like Booking.com, keeping that trust for millions of people every single day is a huge job. So, how do they do it? Increasingly, the answer is AI.

Countering modern online fraud requires AI assistance

The sheer amount of data Booking.com handles is hard to wrap your head around. This isn’t just about stopping someone from using a stolen credit card; the platform has to spot everything from fake hotel reviews and marketing scams to phishing attacks and account takeovers.

“We use AI for a broad range of safety and fraud risk mitigation use cases,” explained Choudhury. “Here, we deal with petabytes of data which includes events generated from applications, infrastructure, messages, emails…”

To handle this, they don’t rely on a single magic tool. “We also leverage multiple vendor specific built-in ML solutions and in-house solutions together to identify and mitigate fraudulent attacks,” Choudhury adds.

In short, they combine the best off-the-shelf software with their own custom-built AI to create a powerful security cocktail, protecting both travellers and property owners on the platform.

The million-dollar question: better or cheaper?

Naturally, running a security system at this scale isn’t easy. One of the biggest headaches is simply getting all the different tools, both internal and external, to play nicely together. But Choudhury pointed to an even tougher, more constant balancing act: performance versus cost.

Cyberattacks get smarter every day, which means your defences constantly need to get better. But better tech costs more money.

“Due to evolving cyber threats, attacks are more sophisticated and the scale of data is increasing constantly,” says Choudhury. “So the decision is: should we make things more cost-efficient, or should we need to make it even better performance wise?”

How AI helps to get ahead of online fraud threats

It’s often said that the best defence is a good offence. Instead of just reacting to problems after they happen, Booking.com is using AI to spot trouble before it even starts. A big part of this involved moving their systems to the cloud, which allows for smarter and faster tools.

Choudhury explained that their human security experts now have a team of digital helpers. “Multiple AI assistants are working in parallel for security analysts to improve their efficiency and reduce operational toil,” he explains.

By giving your best human detectives a digital partner that can sort through mountains of clues in seconds, the experts can focus their skills on the most critical threats, while strong monitoring systems make sure the AI itself is running smoothly and accurately.

Making sure AI plays fair

When you give AI the power to make important security decisions, you have to be incredibly careful that it doesn’t become unfair. Choudhury was clear that ethics are at the core of their strategy, which is built on a few key ideas:

What’s on the horizon?

Choudhury believes the next big leap isn’t about finding brand new things for AI to do, but about making all the existing AI tools work together efficiently.

“I expect more and more solutions will be designed but also expect them to be orchestrated in a way that will make departments much more efficient,” Choudhury predicts.

The goal is to build a system where all the security parts communicate and collaborate intelligently. For Booking.com, the mission is clear: “Driving innovation alongside guaranteeing reliability and cost efficiency will be the key focus.”

For the rest of us, AI is giving us a little more peace of mind we won’t become victims of online fraud after clicking ‘book’ on that holiday.

Siddhartha Choudhury and the Booking.com team will be sharing more insights at this year’s AI & Big Data Expo Europe in Amsterdam on 24-25 September 2025. Choudhury will be speaking as part of a panel titled ‘Innovation at Scale: Gen AI, Cloud Platforms, and Data-Driven Development’ on day two of the leading industry event.

See also: AI hacking tool exploits zero-day security vulnerabilities in minutes

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and is co-located with other leading technology events, click here for more information.

AI News is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here.

The post Siddhartha Choudhury, Booking.com: Fighting online fraud with AI appeared first on AI News.

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Booking.com AI 在线欺诈 网络安全 机器学习 数据安全 AI Ethics Online Fraud Cybersecurity Machine Learning Data Security
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