State-backed cyberattacks, AI deepfakes, and more: Experts reveal UK election cyber threats
Disinformation is expected to be among the top cyber risks for elections in 2024.
Andrew Brookes | Image Source | Getty Images
Britain is expected to face a barrage of state-backed cyber attacks and disinformation campaigns as it heads to the polls in 2024 — and artificial intelligence is a key risk, according to cyber experts who spoke to CNBC.
Brits will vote on May 2 in local elections, and a general election is expected in the second half of this year, although British Prime Minister Rishi Sunak has not yet committed to a date.
The votes come as the country faces a range of problems including a cost-of-living crisis and stark divisions over immigration and asylum.
“With most U.K. citizens voting at polling stations on the day of the election, I expect the majority of cybersecurity risks to emerge in the months leading up to the day itself,” Todd McKinnon, CEO of identity security firm Okta, told CNBC via email.
It wouldn’t be the first time.
In 2016, the U.S. presidential election and U.K. Brexit vote were both found to have been disrupted by disinformation shared on social media platforms, allegedly by Russian state-affiliated groups, although Moscow denies these claims.
State actors have since made routine attacks in various countries to manipulate the outcome of elections, according to cyber experts.
Meanwhile, last week, the U.K. alleged that Chinese state-affiliated hacking group APT 31 attempted to access U.K. lawmakers’ email accounts, but said such attempts were unsuccessful. London imposed sanctions on Chinese individuals and a technology firm in Wuhan believed to be a front for APT 31.
The U.S., Australia, and New Zealand followed with their own sanctions. China denied allegations of state-sponsored hacking, calling them “groundless.”
Cybercriminals utilizing AI
Cybersecurity experts expect malicious actors to interfere in the upcoming elections in several ways — not least through disinformation, which is expected to be even worse this year due to the widespread use of artificial intelligence.
Synthetic images, videos and audio generated using computer graphics, simulation methods and AI — commonly referred to as “deep fakes” — will be a common occurrence as it becomes easier for people to create them, say experts.
“Nation-state actors and cybercriminals are likely to utilize AI-powered identity-based attacks like phishing, social engineering, ransomware, and supply chain compromises to target politicians, campaign staff, and election-related institutions,” Okta’s McKinnon added.
“We’re also sure to see an influx of AI and bot-driven content generated by threat actors to push out misinformation at an even greater scale than we’ve seen in previous election cycles.”
The cybersecurity community has called for heightened awareness of this type of AI-generated misinformation, as well as international cooperation to mitigate the risk of such malicious activity.
Top election risk
Adam Meyers, head of counter adversary operations for cybersecurity firm CrowdStrike, said AI-powered disinformation is a top risk for elections in 2024.
“Right now, generative AI can be used for harm or for good and so we see both applications every day increasingly adopted,” Meyers told CNBC.
China, Russia and Iran are highly likely to conduct misinformation and disinformation operations against various global elections with the help of tools like generative AI, according to Crowdstrike’s latest annual threat report.
“This democratic process is extremely fragile,” Meyers told CNBC. “When you start looking at how hostile nation states like Russia or China or Iran can leverage generative AI and some of the newer technology to craft messages and to use deep fakes to create a story or a narrative that is compelling for people to accept, especially when people already have this kind of confirmation bias, it’s extremely dangerous.”
A key problem is that AI is reducing the barrier to entry for criminals looking to exploit people online. This has already happened in the form of scam emails that have been crafted using easily accessible AI tools like ChatGPT.
Hackers are also developing more advanced — and personal — attacks by training AI models on our own data available on social media, according to Dan Holmes, a fraud prevention specialist at regulatory technology firm Feedzai.
“You can train those voice AI models very easily … through exposure to social [media],” Holmes told CNBC in an interview. “It’s [about] getting that emotional level of engagement and really coming up with something creative.”
In the context of elections, a fake AI-generated audio clip of Keir Starmer, leader of the opposition Labour Party, abusing party staffers was posted to the social media platform X in October 2023. The post racked up as many as 1.5 million views, according to fact correction charity Full Fact.
It’s just one example of many deepfakes that have cybersecurity experts worried about what’s to come as the U.K. approaches elections later this year.
Elections a test for tech giants
Deep fake technology is becoming a lot more advanced, however. And for many tech companies, the race to beat them is now about fighting fire with fire.
“Deepfakes went from being a theoretical thing to being very much live in production today,” Mike Tuchen, CEO of Onfido, told CNBC in an interview last year.
“There’s a cat and mouse game now where it’s ‘AI vs. AI’ — using AI to detect deepfakes and mitigating the impact for our customers is the big battle right now.”
Cyber experts say it’s becoming harder to tell what’s real — but there can be some signs that content is digitally manipulated.
AI uses prompts to generate text, images and video, but it doesn’t always get it right. So for example, if you’re watching an AI-generated video of a dinner, and the spoon suddenly disappears, that’s an example of an AI flaw.
“We’ll certainly see more deepfakes throughout the election process but an easy step we can all take is verifying the authenticity of something before we share it,” Okta’s McKinnon added.
Piotr Swat | Lightrocket | Getty Images
AppLovin CEO Adam Foroughi provided more clarity on the ad-tech company’s late-stage effort to acquire TikTok, calling his offer a “much stronger bid than others” on CNBC’s The Exchange Friday afternoon.
Foroughi said the company is proposing a merger between AppLovin and the entire global business of TikTok, characterizing the deal as a “partnership” where the Chinese could participate in the upside while AppLovin would run the app.
“If you pair our algorithm with the TikTok audience, the expansion on that platform for dollars spent will be through the roof,” Foroughi said.
The news comes as President Trump announced he would extend the deadline a second time for TikTok’s Chinese-owned parent company ByteDance to sell the U.S. subsidiary of TikTok to an American buyer or face an effective ban on U.S. app stores. The new deadline is now in June, which, as Foroughi described, “buys more time to put the pieces together” on AppLovin’s bid.
“The president’s a great dealmaker — we’re proposing, essentially an enhancement to the deal that they’ve been working on, but a bigger version of all the deals contemplated,” he added.
AppLovin faces a crowded field of other interested U.S. backers, including Amazon, Oracle, billionaire Frank McCourt and his Project Liberty consortium, and numerous private equity firms. Some proposals reportedly structure the deal to give a U.S. buyer 50% ownership of the company, rather than a complete acquisition. The Chinese government will still need to approve the deal, and AppLovin’s interest in purchasing TikTok in “all markets outside of China” is “preliminary,” according to an April 3 SEC filing.
Correction: A prior version of this story incorrectly characterized China’s ongoing role in TikTok should AppLovin acquire the app.
U.S. President Donald Trump speaks during an event announcing new tariffs in the Rose Garden at the White House in Washington, April 2, 2025.
Chip Somodevilla | Getty Images
President Donald Trump announced an aggressive, far-reaching “reciprocal tariff” policy this week, leaving many economists and U.S. trade partners to question how the White House calculated its rates.
Trump’s plan established a 10% baseline tariff on almost every country, though many nations such as China, Vietnam and Taiwan are subject to much steeper rates. At a ceremony in the Rose Garden on Wednesday, Trump held up a poster board that outlined the tariffs that it claims are “charged” to the U.S., as well as the “discounted” reciprocal tariffs that America would implement in response.
Those reciprocal tariffs are mostly about half of what the Trump administration said each country has charged the U.S. The poster suggests China charges a tariff of 67%, for instance, and that the U.S. will implement a 34% reciprocal tariff in response.
However, a report from the Cato Institute suggests the trade-weighted average tariff rates in most countries are much different than the figures touted by the Trump administration. The report is based on trade-weighted average duty rates from the World Trade Organization in 2023, the most recent year available.
The Cato Institute says the 2023 trade-weighted average tariff rate from China was 3%. Similarly, the administration says the EU charges the U.S. a tariff of 39%, while the 2023 trade-weighted average tariff rate was 2.7%, according to the report.
In India, the Trump administration claims that a 52% tariff is charged against the U.S., but Cato found that the 2023 trade-weighted average tariff rate was 12%.
Many users on social media this week were quick to notice that the U.S. appeared to have divided the trade deficit by imports from a given country to arrive at tariff rates for individual countries. It’s an unusual approach, as it suggests that the U.S. factored in the trade deficit in goods but ignored trade in services.
The Office of the U.S. Trade Representative briefly explained its approach in a release, and stated that computing the combined effects of tariff, regulatory, tax and other policies in various countries “can be proxied by computing the tariff level consistent with driving bilateral trade deficits to zero.”
“If trade deficits are persistent because of tariff and non-tariff policies and fundamentals, then the tariff rate consistent with offsetting these policies and fundamentals is reciprocal and fair,” the USTR said in the release.
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