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国际刑警组织表示,人工智能正在加快网络威胁的速度并扩大其规模。以下是企业应关注的重点INTERPOL says AI is increasing the speed and scale of cyber threats. Here’s what companies should watch\n

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据国际刑警组织称,人工智能通过强化诈骗和欺诈等现有犯罪手法,助力网络威胁的实施。

Artificial intelligence enables cyber threats by enhancing existing criminal tactics such as scams and fraud, according to INTERPOL.

国际刑警组织全球首席信息安全官比约恩·R·沃特内周四在新加坡科技周期间接受美国消费者新闻与商业频道采访时表示,人工智能是在强化现有犯罪手段,而非带来颠覆性变革。诈骗团伙可以利用人工智能同时针对多名受害者,而翻译质量和数字身份的改进,也使人们越来越难以区分欺诈性互动与真实互动。

AI is enhancing existing criminal techniques rather than revolutionizing them, Bjorn R. Watne, global chief information security officer at INTERPOL, told CNBC on the sidelines of Tech Week Singapore on Thursday. Scam operators can use AI to target multiple victims simultaneously, while improved translation and digital identities are making it increasingly difficult to distinguish fraudulent interactions from real ones.

沃特内说:“这是演变,而非革命。”他补充称,人工智能主要提升了现有手法的“速度和规模”。

"It's an evolution and not a revolution," Watne said, adding that AI is primarily increasing the "speed and scale" of existing techniques.

企业应重点保护什么 随着网络威胁不断演变,沃特内表示,企业应优先采取防护措施。

What companies should be protecting As cyber threats evolve, companies should prioritize protective actions, according to Watne.

相反,企业应首先识别自己的“皇冠明珠”,即维持运营最关键的资产,并确定哪些人最有可能窃取或破坏这些资产。

Instead, businesses should first identify their "crown jewels," the assets most critical to keeping their operations running, and determine who would be most interested in stealing or disrupting them.

随后,企业可以利用威胁情报了解对手采用的手法和技术,并据此定制防御措施。

They can then use threat intelligence to understand the tactics and technologies used by those adversaries and tailor their defenses accordingly.

他说:“当企业尚未成为某类威胁的目标时,没必要一开始就试图防范所有威胁。”他补充称,所需的防御措施因企业面对的是机会型犯罪分子,还是高级持续性威胁行为体而异。

"There is no need for everyone to try and protect against everything all at once when they're not being targeted by it," he said. The defenses needed can vary depending on whether a company faces opportunistic criminals or advanced persistent threat actors, he added.

他表示,高层管理与网络安全战略之间脱节,也常常给企业造成阻碍。

Companies are also often hampered by a disconnect between senior management and their cybersecurity strategy, he said.

沃特内补充说:“仍有许多行业没有意识到,如今每家企业都是一家信息技术企业。”

"There are still many industries where they haven't realized that everyone today is an IT company," Watne added.

他指出,尽管网络风险在企业风险中的排位不断上升,但在许多公司,网络安全尚未真正进入董事会决策层。

While cyber risk is moving higher on corporate risks, cybersecurity has yet to fully make its way into the boardroom at many companies, he added.

代理式人工智能带来新风险。沃特尼表示,随着这项技术获得代表用户采取行动的能力,他尤其警惕代理式人工智能,并警告称,其失误造成的影响可能不只是提供错误信息,还会波及现实世界。

Agentic AI raises new risks Watne said he is particularly wary of agentic AI as the technology gains the ability to take actions on users' behalf, warning that mistakes could extend beyond incorrect information to real-world consequences.

沃特尼说:“AI向你提供错误信息是一回事。但当AI真正开始执行某项行动,并逐步采取错误行动时,尤其是在实体世界中,这可能对人身安全造成后果。”他指出,AI在汽车和自动驾驶车辆等设备中的日益广泛部署令人担忧。

"One thing is that an AI is feeding you the wrong information," Watne said. "But when an AI is actually performing an action and it starts doing the wrong actions, especially in the physical domain, that can have consequences on bodily harm of humans." He pointed to the growing deployment of AI in devices such as cars and self-driving vehicles as an area of concern.

沃特尼表示,与金融服务等领域相比,人们对技术寄予的信任程度相对较高,这进一步加剧了相关风险。

Watne said those risks are compounded by the relatively high level of trust people place in technology compared with areas such as financial services.

沃特尼说,在金融服务领域,人们往往更注重掌控风险,会使用个人识别码等安全措施,并警惕银行卡信息被窃取等风险。然而,面对技术,人们通常会更快地采用新设备和应用程序,却未必保持同等程度的谨慎。

People tend to take a more control-focused approach to financial services, relying on safeguards such as PIN codes and remaining alert to risks such as card skimming, Watne said. When it comes to technology, however, they are often quicker to adopt new devices and apps without the same level of caution.

沃特尼说:“在技术领域,人们的信任度极高。”他还指出,人们往往轻易点击各种提示,并授予新技术访问权限。

"When it comes to technology, the trust level is through the roof," Watne said, pointing to how readily people click through prompts and grant access to new technologies.

随着AI系统越来越能够代表用户采取行动,他认为,这种高度信任值得更严格的审视。

As AI systems become more capable of acting on users' behalf, he said that level of trust deserves greater scrutiny.

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