“It’s a double-edged sword,” says Bill Marczak, a senior researcher at the cybersecurity watchdog Citizen Lab. “You’re going to keep out a lot of the riffraff by making it harder to break iPhones. But the 1% of top hackers are going to find a way in and, once they’re inside, the impenetrable fortress of the iPhone protects them.”
Marczak has spent the last eight years hunting those top-tier hackers. His research includes the groundbreaking 2016 “Million Dollar Dissident” report that introduced the world to the Israeli hacking company NSO Group. And in December, he was the lead author of a report titled “The Great iPwn,” detailing how the same hackers allegedly targeted dozens of Al Jazeera journalists.
He argues that while the iPhone’s security is getting tighter as Apple invests millions to raise the wall, the best hackers have their own millions to buy or develop zero-click exploits that let them take over iPhones invisibly. These allow attackers to burrow into the restricted parts of the phone without ever giving the target any indication of having been compromised. And once they’re that deep inside, the security becomes a barrier that keeps investigators from spotting or understanding nefarious behavior—to the point where Marczak suspects they’re missing all but a small fraction of attacks because they cannot see behind the curtain.
This means that even to know you’re under attack, you may have to rely on luck or vague suspicion rather than clear evidence. The Al Jazeera journalist Tamer Almisshal contacted Citizen Lab after he received death threats about his work in January 2020, but Marczak’s team initially found no direct evidence of hacking on his iPhone. They persevered by looking indirectly at the phone’s internet traffic to see who it was whispering to, until finally, in July last year, researchers saw the phone pinging servers belonging to NSO. It was strong evidence pointing toward a hack using the Israeli company’s software, but it didn’t expose the hack itself.
Sometimes the locked-down system can backfire even more directly. When Apple released a new version of iOS last summer in the middle of Marczak’s investigation, the phone’s new security features killed an unauthorized “jailbreak” tool Citizen Lab used to open up the iPhone. The update locked him out of the private areas of the phone, including a folder for new updates—which turned out to be exactly where hackers were hiding.
Faced with these blocks, “we just kind of threw our hands up,” says Marczak. “We can’t get anything from this—there’s just no way.”
Beyond the phone
Ryan Stortz is a security engineer at the firm Trail of Bits. He leads development of iVerify, a rare Apple-approved security app that does its best to peer inside iPhones while still playing by the rules set in Cupertino. iVerify looks for security anomalies on the iPhone, such as unexplained file modifications—the sort of indirect clues that can point to a deeper problem. Installing the app is a little like setting up trip wires in the castle that is the iPhone: if something doesn’t look the way you expect it to, you know a problem exists.
But like the systems used by Marczak and others, the app can’t directly observe unknown malware that breaks the rules, and it is blocked from reading through the iPhone’s memory in the same way that security apps on other devices do. The trip wire is useful, but it isn’t the same as a guard who can walk through every room to look for invaders.
Despite these difficulties, Stortz says, modern computers are converging on the lockdown philosophy—and he thinks the trade-off is worth it. “As we lock these things down, you reduce the damage of malware and spying,” he says.
This approach is spreading far beyond the iPhone. In a recent briefing with journalists, an Apple spokesperson described how the company’s Mac computers are increasingly adopting the iPhone’s security philosophy: its newest laptops and desktops run on custom-built M1 chips that make them more powerful and secure, in part by increasingly locking down the computer in the same ways as mobile devices.
“iOS is incredibly secure. Apple saw the benefits and has been moving them over to the Mac for a long time, and the M1 chip is a huge step in that direction,” says security researcher Patrick Wardle.
The hunter-gatherer groups at the heart of a microbiome gold rush
The first step to finding out is to catalogue what microbes we might have lost. To get as close to ancient microbiomes as possible, microbiologists have begun studying multiple Indigenous groups. Two have received the most attention: the Yanomami of the Amazon rainforest and the Hadza, in northern Tanzania.
Researchers have made some startling discoveries already. A study by Sonnenburg and his colleagues, published in July, found that the gut microbiomes of the Hadza appear to include bugs that aren’t seen elsewhere—around 20% of the microbe genomes identified had not been recorded in a global catalogue of over 200,000 such genomes. The researchers found 8.4 million protein families in the guts of the 167 Hadza people they studied. Over half of them had not previously been identified in the human gut.
Plenty of other studies published in the last decade or so have helped build a picture of how the diets and lifestyles of hunter-gatherer societies influence the microbiome, and scientists have speculated on what this means for those living in more industrialized societies. But these revelations have come at a price.
A changing way of life
The Hadza people hunt wild animals and forage for fruit and honey. “We still live the ancient way of life, with arrows and old knives,” says Mangola, who works with the Olanakwe Community Fund to support education and economic projects for the Hadza. Hunters seek out food in the bush, which might include baboons, vervet monkeys, guinea fowl, kudu, porcupines, or dik-dik. Gatherers collect fruits, vegetables, and honey.
Mangola, who has met with multiple scientists over the years and participated in many research projects, has witnessed firsthand the impact of such research on his community. Much of it has been positive. But not all researchers act thoughtfully and ethically, he says, and some have exploited or harmed the community.
One enduring problem, says Mangola, is that scientists have tended to come and study the Hadza without properly explaining their research or their results. They arrive from Europe or the US, accompanied by guides, and collect feces, blood, hair, and other biological samples. Often, the people giving up these samples don’t know what they will be used for, says Mangola. Scientists get their results and publish them without returning to share them. “You tell the world [what you’ve discovered]—why can’t you come back to Tanzania to tell the Hadza?” asks Mangola. “It would bring meaning and excitement to the community,” he says.
Some scientists have talked about the Hadza as if they were living fossils, says Alyssa Crittenden, a nutritional anthropologist and biologist at the University of Nevada in Las Vegas, who has been studying and working with the Hadza for the last two decades.
The Hadza have been described as being “locked in time,” she adds, but characterizations like that don’t reflect reality. She has made many trips to Tanzania and seen for herself how life has changed. Tourists flock to the region. Roads have been built. Charities have helped the Hadza secure land rights. Mangola went abroad for his education: he has a law degree and a master’s from the Indigenous Peoples Law and Policy program at the University of Arizona.
The Download: a microbiome gold rush, and Eric Schmidt’s election misinformation plan
Over the last couple of decades, scientists have come to realize just how important the microbes that crawl all over us are to our health. But some believe our microbiomes are in crisis—casualties of an increasingly sanitized way of life. Disturbances in the collections of microbes we host have been associated with a whole host of diseases, ranging from arthritis to Alzheimer’s.
Some might not be completely gone, though. Scientists believe many might still be hiding inside the intestines of people who don’t live in the polluted, processed environment that most of the rest of us share. They’ve been studying the feces of people like the Yanomami, an Indigenous group in the Amazon, who appear to still have some of the microbes that other people have lost.
But there is a major catch: we don’t know whether those in hunter-gatherer societies really do have “healthier” microbiomes—and if they do, whether the benefits could be shared with others. At the same time, members of the communities being studied are concerned about the risk of what’s called biopiracy—taking natural resources from poorer countries for the benefit of wealthier ones. Read the full story.
Eric Schmidt has a 6-point plan for fighting election misinformation
—by Eric Schmidt, formerly the CEO of Google, and current cofounder of philanthropic initiative Schmidt Futures
The coming year will be one of seismic political shifts. Over 4 billion people will head to the polls in countries including the United States, Taiwan, India, and Indonesia, making 2024 the biggest election year in history.
Navigating a shifting customer-engagement landscape with generative AI
A strategic imperative
Generative AI’s ability to harness customer data in a highly sophisticated manner means enterprises are accelerating plans to invest in and leverage the technology’s capabilities. In a study titled “The Future of Enterprise Data & AI,” Corinium Intelligence and WNS Triange surveyed 100 global C-suite leaders and decision-makers specializing in AI, analytics, and data. Seventy-six percent of the respondents said that their organizations are already using or planning to use generative AI.
According to McKinsey, while generative AI will affect most business functions, “four of them will likely account for 75% of the total annual value it can deliver.” Among these are marketing and sales and customer operations. Yet, despite the technology’s benefits, many leaders are unsure about the right approach to take and mindful of the risks associated with large investments.
Mapping out a generative AI pathway
One of the first challenges organizations need to overcome is senior leadership alignment. “You need the necessary strategy; you need the ability to have the necessary buy-in of people,” says Ayer. “You need to make sure that you’ve got the right use case and business case for each one of them.” In other words, a clearly defined roadmap and precise business objectives are as crucial as understanding whether a process is amenable to the use of generative AI.
The implementation of a generative AI strategy can take time. According to Ayer, business leaders should maintain a realistic perspective on the duration required for formulating a strategy, conduct necessary training across various teams and functions, and identify the areas of value addition. And for any generative AI deployment to work seamlessly, the right data ecosystems must be in place.
Ayer cites WNS Triange’s collaboration with an insurer to create a claims process by leveraging generative AI. Thanks to the new technology, the insurer can immediately assess the severity of a vehicle’s damage from an accident and make a claims recommendation based on the unstructured data provided by the client. “Because this can be immediately assessed by a surveyor and they can reach a recommendation quickly, this instantly improves the insurer’s ability to satisfy their policyholders and reduce the claims processing time,” Ayer explains.
All that, however, would not be possible without data on past claims history, repair costs, transaction data, and other necessary data sets to extract clear value from generative AI analysis. “Be very clear about data sufficiency. Don’t jump into a program where eventually you realize you don’t have the necessary data,” Ayer says.
The benefits of third-party experience
Enterprises are increasingly aware that they must embrace generative AI, but knowing where to begin is another thing. “You start off wanting to make sure you don’t repeat mistakes other people have made,” says Ayer. An external provider can help organizations avoid those mistakes and leverage best practices and frameworks for testing and defining explainability and benchmarks for return on investment (ROI).
Using pre-built solutions by external partners can expedite time to market and increase a generative AI program’s value. These solutions can harness pre-built industry-specific generative AI platforms to accelerate deployment. “Generative AI programs can be extremely complicated,” Ayer points out. “There are a lot of infrastructure requirements, touch points with customers, and internal regulations. Organizations will also have to consider using pre-built solutions to accelerate speed to value. Third-party service providers bring the expertise of having an integrated approach to all these elements.”