As the ransomware industry evolves, experts are predicting hackers will only continue to find more and more ways of using the technology to exploit businesses and individuals.
Seksan Mongkhonkhamsao | Moment | Getty Images
Ransomware is now a billion-dollar industry. But it wasn’t always that large — nor was it a prevalent cybersecurity risk like it is today.
Dating back to the 1980s, ransomware is a form of malware used by cybercriminals to lock files on a person’s computer and demand payment to unlock them.
The technology — which officially turned 35 on Dec. 12 — has come a long way, with criminals now able to spin up ransomware much faster and deploy it across multiple targets.
Experts expect ransomware to continue evolving, with modern-day cloud computing tech, artificial intelligence and geopolitics shaping the future.
How did ransomware come about?
The first event considered to be a ransomware attack happened in 1989.
A hacker physically mailed floppy disks claiming to contain software that could help determine whether someone was at risk of developing AIDs.
However, when installed, the software would hide directories and encrypt file names on people’s computers after they’d rebooted 90 times.
It would then display a ransom note requesting a cashier’s check to be sent to an address in Panama for a license to restore the files and directories.
The program became known by the cybersecurity community as the “AIDs Trojan.”
“It was the first ransomware and it came from someone’s imagination. It wasn’t something that they’d read about or that had been researched,” Martin Lee, EMEA lead for Talos, the cyber threat intelligence division of IT equipment giant Cisco, told CNBC in an interview.
“Prior to that, it was just never discussed. There wasn’t even the theoretical concept of ransomware.”
The perpetrator, a Harvard-taught biologist named Joseph Popp, was caught and arrested. However, after displaying erratic behavior, he was found unfit to stand trial and returned to the United States.
How ransomware has developed
Since the AIDs Trojan emerged, ransomware has evolved a great deal. In 2004, a threat actor targeted Russian citizens with a criminal ransomware program known today as “GPCode.”
The program was delivered to people via email — an attack method today commonly known as “phishing.” Users, tempted with the promise of an attractive career offer, would download an attachment which contained malware disguising itself as a job application form.
Once opened, the attachment downloaded and installed malware on the victim’s computer, scanning the file system and encrypting files and demanding payment via wire transfer.
Then, in the early 2010s, ransomware hackers turned to crypto as a method of payment.
In 2013, only a few years after the creation of bitcoin, the CryptoLocker ransomware emerged.
Hackers targeting people with this program demanded payment in either bitcoin or prepaid cash vouchers — but it was an early example of how crypto became the currency of choice for ransomware attackers.
Later, more prominent examples of ransomware attacks that selected crypto as the ransom payment method of choice included the likes of WannaCry and Petya.
“Cryptocurrencies provide many advantages for the bad guys, precisely because it is a way of transferring value and money outside of the regulated banking system in a way that is anonymous and immutable,” Lee told CNBC. “If somebody’s paid you, that payment can’t be rolled back.”
CryptoLocker also became notorious in the cybersecurity community as one of the earliest examples of a “ransomware-as-a-service” operation — that is, a ransomware service sold by developers to more novice hackers for a fee to allow them to carry out attacks.
“In the early 2010s, we have this increase in professionalization,” Lee said, adding that the gang behind CryptoLocker were “very successful in operating the crime.”
What’s next for ransomware?
As the ransomware industry evolves even further, experts are predicting hackers will only continue to find more and more ways of using the technology to exploit businesses and individuals.
Some experts worry AI has lowered the barrier to entry for criminals looking to create and use ransomware. Generative AI tools like OpenAI’s ChatGPT allow everyday internet users to insert text-based queries and requests and get sophisticated, humanlike answers in response — and many programmers are even using it to help them write code.
Mike Beck, chief information security officer of Darktrace, told CNBC’s “Squawk Box Europe” there’s a “huge opportunity” for AI — both in arming the cybercriminals and improving productivity and operations within cybersecurity companies.
“We have to arm ourselves with the same tools that the bad guys are using,” Beck said. “The bad guys are going to be using the same tooling that is being used alongside all that kind of change today.”
But Lee doesn’t think AI poses as severe a ransomware risk as many would think.
“There’s a lot of hypothesis about AI being very good for social engineering,” Lee told CNBC. “However, when you look at the attacks that are out there and clearly working, it tends to be the simplest ones that are so successful.”
Targeting cloud systems
A serious threat to watch out for in future could be hackers targeting cloud systems, which enable businesses to store data and host websites and apps remotely from far-flung data centers.
“We haven’t seen an awful lot of ransomware hitting cloud systems, and I think that’s likely to be the future as it progresses,” Lee said.
We could eventually see ransomware attacks that encrypt cloud assets or withhold access to them by changing credentials or using identity-based attacks to deny users access, according to Lee.
Geopolitics is also expected to play a key role in the way ransomware evolves in the years to come.
“Over the last 10 years, the distinction between criminal ransomware and nation-state attacks is becoming increasingly blurred, and ransomware is becoming a geopolitical weapon that can be used as a tool of geopolitics to disrupt organizations in countries perceived as hostile,” Lee said.
“I think we’re probably going to see more of that,” he added. “It’s fascinating to see how the criminal world could be co-opted by a nation state to do its bidding.”
Another risk Lee sees gaining traction is autonomously distributed ransomware.
“There is still scope for there to be more ransomwares out there that spread autonomously — perhaps not hitting everything in their path but limiting themselves to a specific domain or a specific organization,” he told CNBC.
Lee also expects ransomware-as-a-service to expand rapidly.
“I think we will increasingly see the ransomware ecosystem becoming increasingly professionalized, moving almost exclusively towards that ransomware-as-a-service model,” he said.
But even as the ways criminals use ransomware are set to evolve, the actual makeup of the technology isn’t expected to change too drastically in the coming years.
“Outside of RaaS providers and those leveraging stolen or procured toolchains, credentials and system access have proven to be effective,” Jake King, security lead at internet search firm Elastic, told CNBC.
“Until further roadblocks appear for adversaries, we will likely continue to observe the same patterns.”
Chief executive officer at Palo Alto Networks Inc., Nikesh Arora attends the 9th edition of the VivaTech trade show at the Parc des Expositions de la Porte de Versailles on June 11, 2025, in Paris.
Earnings per share: 93 cents adjusted vs. 89 cents expected
Revenue: $2.47 billion vs. $2.46 billion expected
Revenues grew 16% from $2.1 billion a year ago. Net income fell to $334 million, or 47 cents per share, from $351 million, or 49 cents per share in the year-ago period.
Palo Alto’s Chronosphere deal is slated to close in the second half of its fiscal 2026. The cybersecurity provider is also in the process of buying Israeli identity security firm CyberArk for $25 billion under CEO Nikesh Arora‘s acquisition spree.
He told investors in an earnings call that Palo Alto is making this simultaneous acquisition to address the fast-moving AI cycle.
“This large surge towards building AI compute is causing a lot of the AI players to think about newer models for software stacks and infrastructure stacks in the future,” he said.
Palo Alto guided for revenues between $2.57 billion and $2.59 billion in the second quarter, the midpoint of which was in line with a $2.58 billion estimate. For the full year, the company expects $10.50 billion to $10.54 billion, versus a $10.51 billion estimate.
Capital expenditures during the period were much higher than expectations at $84 million. StreetAccount expected $58.1 million. Remaining purchase obligations, which tracks backlog, grew to $15.5 billion and topped a $15.43 billion estimate.
The rise of artificial intelligence has also stirred up increasingly sophisticated cyberattacks and contributed to tools for customers. The Santa Clara, California-based company has infused AI into its tools and launched automated AI agents to help fend off attacks in October.
Tesla CEO Elon Musk (L) talks with Nvidia CEO Jensen Huang during the U.S.-Saudi Investment Forum at the Kennedy Center on Nov. 19, 2025 in Washington, DC.
Win McNamee | Getty Images
Nvidia and xAI said on Wednesday that a large data center facility being built in Saudi Arabia and equipped with hundreds of thousands of Nvidia chips will count Elon Musk’s artificial intelligence startup as its first customer.
Musk and Nvidia CEO Jensen Huang were both in attendance at the U.S.-Saudi Investment Forum in Washington, D.C.
The announcement builds on a partnership from May, when Nvidia said it would provide Saudi Arabia’s Humain with chips that use 500 megawatts of power. On Wednesday, Humain said the project would include about 600,000 Nvidia graphics processing units.
Humain was launched earlier this year and is owned by the Saudi Public Investment Fund. The plan to build the data center was initially announced when Huang visited Saudi Arabia alongside President Donald Trump.
“Could you imagine, a startup company approximately 0 billion dollars in revenues, now going to build a data center for Elon,” Huang said.
The facility is one of the most prominent examples of what Nvidia calls “sovereign AI.” The chipmaker has said that nations will increasingly need to build data centers for AI in order to protect national security and their culture. It’s also a potentially massive market for Nvidia’s pricey AI chips beyond a handful of hyperscalers.
Huang’s appearance at an event supported by President Trump is another sign of the administration’s focus on AI. Huang has become friendly with the president as Nvidia lobbies to gain licenses to ship future AI chips to China.
When announcing the agreement, Musk, who was a major figure in the early days of the second Trump administration, briefly mixed up the size of the data center, which is measured in megawatts, a unit of power. He joked that plans for a data center that would be 1,000 times larger would have to wait.
“That will be eight bazillion, trillion dollars,” Musk joked.
AMD will provide chips that may require as much as 1 gigawatt of power by 2030. The company said the chips that it would provide are its Instinct MI450 GPUs for AI. Cisco will provide additional infrastructure for the data center, AMD said.
Qualcomm will sell Humain its new data center chips that were first revealed in October, called the AI200 and AI250. Humain will deploy 200 megawatts of Qualcomm chips, the company said.
Yann LeCun, known as one of the godfathers of modern artificial intelligence and one of the first AI visionaries to join the company then known as Facebook, is leaving Meta.
LuCun said in a LinkedIn post on Wednesday that he plans to create a startup that specializes in a kind of AI technology that researchers have described as world models, analyzing information beyond web data in order to better represent the physical world and its properties.
“I am creating a startup company to continue the Advanced Machine Intelligence research program (AMI) I have been pursuing over the last several years with colleagues at FAIR, at NYU, and beyond,” LeCun wrote. “The goal of the startup is to bring about the next big revolution in AI: systems that understand the physical world, have persistent memory, can reason, and can plan complex action sequences.”
Meta will partner with LeCun’s startup.
The departure comes at a time of disarray within Meta’s AI unit, which was dramatically overhauled this year after the company released the fourth version of its Llama open-source large language model to a disappointing response from developers. That spurred CEO Mark Zuckerberg to spend billions of dollars recruiting top AI talent, including a June $14.5 billion investment in Scale AI to lure the startup’s 28-year-old CEO Alexandr Wang, now Meta’s new chief AI officer.
LeCun, 65, joined Facebook in 2013 to be director of the FAIR AI research division while maintaining a part-time professorial position at New York University. He said in the LinkedIn post that the “creation of FAIR is my proudest non-technical accomplishment.”
“I am extremely grateful to Mark Zuckerberg, Andrew Bosworth, Chris Cox, and Mike Schroepfer for their support of FAIR, and for their support of the AMI program over the last few years,” LeCun said. “Because of their continued interest and support, Meta will be a partner of the new company.”
At the time, Facebook and Google were heavily recruiting high-level academics like LeCun to spearhead their efforts to produce cutting-edge computer science research that could potentially benefit their core businesses and products.
LeCun, along with other AI luminaries like Yoshua Bengio and Geoffrey Hinton, centered their academic research on a kind of AI technique known as deep learning, which involves the training of enormous software systems called neural networks so they can discover patterns within reams of data. The researchers helped popularize the deep learning approach, and in 2019 won the prestigious Turing Award, presented by the Association for Computing Machinery.
Since then, LeCun’s approach to AI development has drifted from the direction taken by Meta and the rest of Silicon Valley.
Meta and other tech companies like OpenAI have spent billions of dollars in developing so-called foundation models, particularly LLMs, as part of their efforts to advance state-of-the-art computing. However, LeCun and other deep-learning experts, have said that these current AI models, while powerful, have a limited understanding of the world, and new computing architectures are needed for researchers to create software that’s on par with or surpasses humans on certain tasks, a notion known as artificial general intelligence.
“As I envision it, AMI will have far-ranging applications in many sectors of the economy, some of which overlap with Meta’s commercial interests, but many of which do not,” LeCun said in the post. “Pursuing the goal of AMI in an independent entity is a way to maximize its broad impact.”
Besides Wang, other recent notables that Zuckerberg brought in to revamp Meta’s AI unit include former GitHub CEO Nat Friedman, who heads the unit’s product team, and ChatGPT co-creator Shengjia Zhao, the group’s chief scientist.
In October, Meta laid off 600 employees from its Superintelligence Labs division, including some who were part of the FAIR unit that LeCun helped get off the ground. Those layoffs and other cuts to FAIR over the years, coupled with a new AI leadership team, played a major role in LeCun’s decision to leave, according to people familiar with the matter who asked not to be named because they weren’t authorized to speak publicly.
Additionally, LeCun rarely interacted with Wang nor TBD Labs unit, which is compromised of many of the headline-grabbing hires Zuckerberg made over the summer. TBD Labs oversees the development of Meta’s Llama AI models, which were originally developed within FAIR, the people said.
While LeCun was always a champion of sharing AI research and related technologies to the open-source community, Wang and his team favor a more closed approach amid intense competition from rivals like OpenAI and Google, the people said.