Understanding the modern cybercrime landscape
Throughout 2025, HPE observed significant changes in how cybercriminals operate. Analyzing real-world threats, our HPE Threat Labs highlighted an industrialization of the cyber criminals’ methods in its new In the Wild Report, enabling greater scale, speed and structure in their campaigns. They typically use automation and AI to exploit longstanding vulnerabilities, and many have adopted a professional, corporate hierarchy to optimize their efficiency.

Cybersecurity threats today are as menacing as ever for enterprises, as any CISO or CIO can probably confirm. But, digging behind that straightforward statement, there is a much more nuanced, complex cybersecurity landscape at play. This can make it significantly harder to plan, execute, and sustain effective strategies and solutions to protect the network—plus the often valuable—sometimes priceless—data, apps, and assets it transports and stores.
But it can be done, with the right philosophy and strategy, and the right tools and insights.
We must first understand the contemporary cybersecurity landscape. This understanding can unlock the right strategy and then onward to identify the tools and insights necessary to protect an enterprise’s network effectively.
There are five primary factors influencing the landscape, some old, some new, all dynamic. These factors are distinct but often interdependent, both within themselves and with one or more of the others. Another meaningful way of looking at them is “internal” and “external”; as ever, understanding and dealing with what is in your control can also help to navigate and mitigate what is beyond your control.
Five key factors influencing today’s dynamic cybersecurity landscape
1. Expectations
The first factor is predicated on the fundamental reality of an enterprise’s reliance on its network. Most enterprises have already undergone some form of digital transformation and are reaping the day-to-day benefits. This means that the number of people, devices, and things using the network continues to grow; it also means that people’s expectations of the network are higher than ever before – they demand that it does exactly what they need it to do, typically across a proliferation of devices and from multiple locations. Conversely, many employees might not be fully aware of cyber threats and infiltration methods, so their skillsets can easily be the weak point that admits bad actors into the network.
Equally, senior management and board members have high expectations at a meta level. Embracing digital transformation and network reliance means the enterprise’s function and reputation are inextricably tied to that. Loss of reputation due to a security breach is a chilling prospect, as is the threat of financial penalty and revenue loss. So, in the minds of leadership, the network has to be safe from cyber threats and be compliant.
2. Financial pressures
The first factor arguably contradicts its neighbor in the landscape: general financial constraints and the pressure on CISOs and CIOs to achieve more with less. Despite the strategic reliance on the network and the expectation that it will be protected from cyber threats regardless, the appropriate latticework of defenses (e.g., skilled and right-sized IT teams using progressive tools and meaningful data insights, plus constant workforce education) is not always properly funded and sustained, particularly in the current tough economic climate.
3. Complex infrastructure operations
The ongoing pursuit of digital transformation and consequent network reliance also drives the third factor. Ironically, there is another facet of enterprise protection and financial control wrapped up in this. The widespread move from one-stop shops (avoiding IT vendor lock-in in favor of more competitive pricing and autonomy) has created a more complex, multivendor environment. This is coupled with multiple IT domains required to handle many diverse functions and layers of IT infrastructure (e.g., cloud, on-prem), all connected to the network. Complex, mission-critical IT operations now need to be monitored and protected from increasingly sophisticated cyber breaches.
4. Unpredictable geopolitics and economics
Shifting from the first three factors—all internal to an enterprise—the fourth is unquestionably external and without doubt the most intractable risk for any enterprise, individual, or industry group. Global uncertainty and tension are unavoidably putting even greater pressure on already-tight IT budgets, component supply chains and power costs. This can easily exacerbate existing constraints on cybersecurity budgets when vigilance and protection are more needed than ever. Unfortunately, in cyberspace one cannot always point a finger in one direction to identify an adversary. Geopolitical alliances in cyberspace are much more difficult to track, and defending against an escalating tension becomes an all-out fight to secure the network.
5. Evolving cyber threats
The fifth factor is obviously the epicenter of today’s cyber security landscape. According to the HPE Threat Labs’ report, governments were the most frequently targeted sector globally in 2025, followed by finance, technology, defense, and manufacturing. The prevailing global geopolitical and economic situation may further accelerate the twin motivations of nation state-linked espionage and organized crime for extortion and theft.
Use the network to protect the network… and beyond
The current cybersecurity landscape calls for a re-think of the network’s pivotal role and how it can manage an enterprise’s digital defenses effectively, dynamically, and comprehensively. Overall, the network can be an excellent security sensor and enforcement point, using built-in security capabilities rather than being a collection of devices with an inflexible, bolted-on security layer.
Much as cybercriminals use agentic and generative AI to intensify their campaigns, CISOs can stay ahead more easily by leveraging AI-driven network platforms for 24×7 automated management of security policy enforcement (e.g., zero trust), threat monitoring, and mitigation, encompassing devices, things, and users. Meaningful data insights can be harvested, analyzed, and recycled back into secure networking management tools for dynamic protection.
This approach helps the progressive enterprise to overcome increasingly sophisticated, multi-step, and prolific attacks, while better managing IT costs and simplifying oversight of IT operations. It can also significantly improve the user experience, going a long way to meet and even exceed those rising expectations consistently.
As a strategy in today’s uncertain world, embracing this self-driving network paradigm enables flexibility, visibility, and consistency in an enterprise’s frontline digital defenses.
For more, read the “In the Wild” report.
This content was produced by HPE. It was not written by MIT Technology Review’s editorial staff.
The Download: Musk v. Altman, smart glasses for warfare, and Google I/O
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
Here’s why Elon Musk lost his suit against OpenAI
Elon Musk has lost his lawsuit against OpenAI, which centered on whether the company breached its founding contract as a nonprofit. A jury found that he sued too late, meaning his claims are barred by statutes of limitations. But the verdict didn’t judge if OpenAI violated its nonprofit mission—only whether Musk brought the case in time.
The dispute centers on when OpenAI began shifting toward a for-profit structure. The company argued that signs of a shift were visible as early as 2017, while Musk said he only discovered the change in 2022.
—Michelle Kim
Join us later today for a subscriber-only Roundtables discussion about what happened in the courtroom and what the verdict means for OpenAI and the larger AI race. Register here.
Inside Anduril and Meta’s quest to make smart glasses for warfare
The defense-tech company Anduril has shared new details about the augmented-reality headset for the military it’s prototyping with Meta, including a vision for ordering drone strikes via eye-tracking and voice commands.
Quay Barnett, who leads the effort at Anduril following a career in the Army’s Special Operations Command, says he aims to optimize “the human as a weapons system.” Find out how he plans to do it—and what smart glasses could mean for warfare.
—James O’Donnell
What to expect at Google I/O this week
When Google opens its doors today for its annual developer conference, I/O, it will do so as a clear third place in the foundation model race.
A foundation model’s reputation these days rests largely on its coding capabilities, and for months Google’s coding tools have been outgunned by Anthropic’s Claude Code and OpenAI’s Codex. But the company still shapes the cutting edge in areas such as AI for science. At I/O this week, it will try to prove it can compete on both fronts.
I’m going to be at Mountain View this week to see what goes down. Here are three things to keep a close eye on.
—Grace Huckins
This story is from The Algorithm, our weekly newsletter giving you the inside track on all things AI. Sign up to receive it in your inbox every Monday.
Can AI learn to understand the world?
As the limits of LLMs become clearer, researchers are developing a new kind of AI designed to understand the physical environment: world models.
Recent developments from Google DeepMind, Fei-Fei Li’s World Labs, and Yann LeCun’s new startup have pushed these systems to the forefront of AI. At an upcoming virtual event, MIT Technology Review will examine the progress—and what comes next.
On Thursday, May 21, editor in chief Mat Honan, senior AI editor Will Douglas Heaven, and AI reporter Grace Huckins will take part in an exclusive Roundtables discussion on world models. Register here to join the session at 19:30 GMT / 2:30 PM ET / 11:30 AM PT.
World models are one of our 10 Things That Matter in AI Right Now, a new guide to the technologies and ideas shaping the future of AI.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 OpenAI’s legal win over Elon Musk clears its path to a blockbuster IPO
The jury’s verdict was a critical moment for the company’s future. (Reuters $)
+ The trial spilled plenty of dirt about Silicon Valley. (MIT Technology Review)
+ And added to concerns about AI’s leadership. (The Verge)
2 Google and Blackstone are launching a new AI cloud company
The venture will use Google’s specialized chips. (Bloomberg $)
+ It aims to mount a challenge to Nvidia. (FT $)
+ Blackstone is investing $5 billion in the company. (WSJ $)
3 Meta is reshaping its workforce around AI while preparing deep layoffs
It’s reassigning 7,000 employees to four new AI-focused groups. (NYT $)
+ And plans to lay off 10% of its staff on Wednesday. (Reuters $)
+ More cuts are expected later this year. (CNBC)
4 The Iran conflict is straining the AI supply chain
TSMC, Foxconn, and Infineon have felt major disruption. (CNBC)
+ The war also threatens a vital water technology. (MIT Technology Review)
5 China’s AI-powered brain implants are moving to real-world use
Some devices will soon be sold to the public. (Nature)
+ BCIs now must be proven as products. (MIT Technology Review)
6 A US cybersecurity agency exposed its own digital keys on GitHub
A researcher said it’s the worst leak he’s ever seen. (Krebs on Security)
+ The culprit was the CISA, a relatively new branch of the DHS. (Gizmodo)
7 Supercharging immune cells may help control HIV long-term
CAR-T cell therapy is showing promise for managing HIV. (Wired $)
8 Filipino virtual assistants are powering “thought leadership” on LinkedIn
Low-paid workers use AI to write posts for Western executives. (Rest of World)
9 Big Four accounting firms have more job ads for AI staff than auditors
Accounting giants are rushing to adapt to technological disruption. (FT $)
10 Tech founders are being sent to etiquette school
In the AI era, soft skills may matter more than ever. (WSJ $)
Quote of the day
“Shit, I should have asked for more.”
—President Trump tells Fortune that he should have requested a greater share of Intel than the 10% stake that the US government received.
One More Thing
Think that your plastic is being recycled? Think again.
On a kayak trip through a Connecticut salt marsh, plastic waste appears almost immediately. There are bags in reeds, bottles in the water, and tiny pieces scattered everywhere. What looks like a pristine ecosystem is already saturated.
Plastic is produced at enormous scale but rarely recycled. Instead, it breaks apart into microplastics, which are now detected across the environment and in human bodies.
Read the full story on why plastic pollution is so hard to contain.
—Douglas Main
We can still have nice things
A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)
+ Discover the beauty hidden within numbers at this charming site.
+ Find out how many millions of miles you’ve traveled through space since birth.
+ An extraordinary image has captured the split-second the ISS silhouetted itself against the Moon.
+ The most insane megaproject you’ve never heard of tried to turn atomic bombs into peaceful construction tools.

