Chinese large language models are not uniformly better at cyber tasks than U.S. models—but cybersecurity risk is not determined by task performance alone. In a September 2025 evaluation, NIST found that tested DeepSeek models lagged the best U.S. model on most benchmarks while DeepSeek R1-0528 was more susceptible in specific tests of malicious instruction-following and jailbreaks. That mismatch is a useful way to understand the “dangerous asymmetry”: capability, safety, access and deployment can combine unevenly. It is a framing for examining the evidence, not proof that Chinese models as a class are more dangerous.
Are Chinese AI models a cybersecurity risk?
They can be part of cybersecurity risk, as can other powerful models, but nationality alone does not determine how risky a model is. The practical questions are what a particular model can do, how it responds to hostile instructions, how widely it is available, and what tools or sensitive information a deployment gives it access to.
Cybersecurity also has two sides. Organizations may use language models to support defensive work, while attackers may try to use them to accelerate or scale malicious activity. A model’s ability to assist with security work does not, by itself, establish that it can carry out attacks autonomously. Nor does a high score on a cyber benchmark reveal whether an agent will safely handle untrusted instructions when connected to tools.
“Dangerous asymmetry” describes the possibility that these factors do not move together: a model may be less capable on a given task set yet more prone to a particular safety failure, or broadly accessible without the safeguards a user expects. The evidence below supports examining those separate dimensions. It does not establish a single ranking of Chinese and U.S. models across all products, versions or deployments.
Recommended Free Tools
#1 Best Overall
- Read Before You Buy — No Video Output: These adapters support charging and USB 2.0 data transfer, but cannot transmit video signals. Except for standard USB webcams (which use USB data only), they are not compatible with HDMI/DisplayPort cables, video-capable USB-C hubs, or docking stations with video output.
- Convert USB-A Ports to USB-C: Designed to connect USB-C earphones, cables, flash drives, card readers, and other USB-C accessories to standard USB-A ports. Plug-and-play with no drivers or software required.
- Aluminum Alloy Housing: Built with a sturdy aluminum alloy shell that aids in heat dissipation and protects against daily wear and scratches. Designed to maintain a stable and secure connection.
- Compact & Travel-Friendly: The ultra-compact design allows the adapter to stay plugged into your device without blocking adjacent ports or adding bulk, reducing wear and tear on your original USB ports.
- 12-Month Warranty: Backed by a 12-month manufacturer warranty for peace of mind. Designed to meet strict quality control standards for reliable everyday performance.
What did NIST’s DeepSeek evaluation find?
On September 30, 2025, the National Institute of Standards and Technology’s Center for AI Standards and Innovation (CAISI) announced an evaluation of DeepSeek R1, R1-0528 and V3.1 alongside four U.S. models across 19 benchmarks. Its results are specific to those models, tests and the evaluation’s conditions—not a census of current models or real-world deployments.
| Evaluation dimension | Reported result | What it does—and does not—show |
|---|---|---|
| Software-engineering and cyber tasks | CAISI reported that its best U.S. model solved more than 20% more tasks than its best DeepSeek model in the cited comparison. | This is a comparison on the evaluation’s task set. It does not establish that U.S. models outperform DeepSeek on every security task or that benchmark performance translates directly to operational attacks. |
| Agent hijacking | In CAISI’s simulated environment, agents based on DeepSeek R1-0528 were, on average, 12 times more likely than the evaluated U.S. frontier models to follow malicious instructions intended to derail the assigned user task. | This measures susceptibility to the tested malicious instructions in a simulation. It is not a rate of successful attacks in production systems. |
| Jailbreak response | Under a common jailbreaking technique tested by CAISI, DeepSeek R1-0528 responded to 94% of overtly malicious requests, compared with 8% for the U.S. reference models. | This result applies to that model, request set and jailbreak condition. It is not a general refusal rate for every model or attack method. |
| Platform downloads | CAISI reported that downloads of DeepSeek models on model-sharing platforms had increased nearly 1,000% since January 2025. | Downloads indicate growing availability on those platforms; they do not show how many downloads led to use, or demonstrate cyber misuse. |
The findings should be read together without collapsing them into one score. The task comparison addresses performance on selected software-engineering and cyber tasks; the hijacking test addresses whether an agent follows hostile instructions in a simulated setting; and the jailbreak result concerns responses to overtly malicious requests under a particular method. Each reveals something different about risk.
Can DeepSeek be used for cyberattacks?
The evidence supports a careful answer: models can potentially assist malicious activity, but the cited evaluation does not show that DeepSeek autonomously carried out real-world cyberattacks. CAISI tested task performance and safety behavior under defined conditions. The CNAS report, a policy analysis published June 12, 2026, goes further in its assessment, concluding that “Chinese systems can already contribute meaningfully to offensive cyber operations.” That is CNAS’s national-security judgment, not a result established by the NIST benchmark comparison alone.
Rank #2
- 5-in-1 USB-C Hub: Experience comprehensive connectivity featuring a Power Delivery input, two USB-A 2.0 ports, a USB-A 3.0 port, and an HDMI port. (Note: The USB-C power delivery input port is only for connecting an external wall charger to power your laptop and cannot power peripheral devices.)
- 90W Pass-Through Charging: Achieve optimal charging with 90W pass-through power to your laptop, supported by a total input of 100W, with the hub reserving 10W for operational efficiency. (Note: Wall charger not included.)
- Quick Data Transfers: Accelerate your productivity with rapid data transfers using a high-speed 5Gbps USB 3.0 port and two 480Mbps USB 2.0 ports.
- 4K HDMI Display: Enhance your visual experience with a hub capable of delivering 4K resolution at 30Hz in both mirror and extend modes. Please note that this hub is compatible with MacBook (macOS 12 and newer), Windows 10 and 11, ChromeOS, and laptops equipped with DP Alt Mode and Power Delivery. Note: This device is not compatible with Linux.
- What You Get: Anker USB-C Hub (5-in-1, 4K HDMI), welcome guide, 18-month warranty, and our friendly customer service.
The distinction matters because “can assist” covers a range of uses, from helping a person understand technical material to interacting with software tools. What a model can do in practice depends on the model and version, the person directing it, the surrounding system, and the permissions it receives. Benchmarks and simulated tests help identify possible strengths and weaknesses; neither alone establishes how often a capability is used maliciously in the field.
How vulnerable are AI agents to prompt injection?
Prompt injection is an attempt to make a model or agent follow hostile instructions embedded in content it is processing, rather than the user’s intended task. The risk grows when an agent treats untrusted content as instructions and can take consequential actions through tools. CAISI’s agent-hijacking result is relevant because it tested whether malicious instructions could derail a task, but its simulated setting should not be mistaken for a measurement of incidents across live systems.
For organizations, the key issue is not just whether a model can recognize a malicious instruction in isolation. It is whether the full application keeps untrusted content separate from trusted directions, limits the agent’s permissions, and requires appropriate checks before consequential actions. A model connected to email, files, code execution or external services presents a different exposure from the same model used to draft text without those connections.
Rank #3
- Sleek 7-in-1 USB-C Hub: Features an HDMI port, two USB-A 3.0 ports, and a USB-C data port, each providing 5Gbps transfer speeds. It also includes a USB-C PD input port for charging up to 100W and dual SD and TF card slots, all in a compact design.
- Flawless 4K@60Hz Video with HDMI: Delivers exceptional clarity and smoothness with its 4K@60Hz HDMI port, making it ideal for high-definition presentations and entertainment. (Note: Only the HDMI port supports video projection; the USB-C port is for data transfer only.)
- Double Up on Efficiency: The two USB-A 3.0 ports and a USB-C port support a fast 5Gbps data rate, significantly boosting your transfer speeds and improving productivity.
- Fast and Reliable 85W Charging: Offers high-capacity, speedy charging for laptops up to 85W, so you spend less time tethered to an outlet and more time being productive.
- What You Get: Anker USB-C Hub (7-in-1), welcome guide, 18-month warranty, and our friendly customer service.
- Limit permissions: Give an agent only the access required for its assigned task, and avoid granting broad credentials by default.
- Separate instructions from data: Treat web pages, documents, messages and tool outputs as potentially hostile input, not as trusted policy.
- Gate consequential actions: Require human review or explicit authorization before sensitive changes, external communications or other high-impact operations.
- Monitor actions and outputs: Keep records sufficient to investigate unexpected behavior and detect attempts to redirect the agent.
What does the wider evidence say about Chinese models?
Different sources answer different questions. CAISI reports bounded test results for named DeepSeek versions; CNAS assesses national-security implications across a broader set of developers; Chinese government and academic sources discuss model-security concerns and evaluation methods. Those perspectives should be distinguished rather than treated as interchangeable evidence.
CNAS: capability, proliferation and dependency
In its June 2026 report, Red Lines: Understanding the National Security Risks of China’s Advanced AI, the Center for a New American Security says it assessed systems from Alibaba, Baidu, DeepSeek, MiniMax, Moonshot, Tencent and Zhipu. Its analysis argues for examining concrete capabilities in absolute terms and considering risks from proliferation and dependency, as well as cyber operations. These are the report’s analytical conclusions; the listed developers should not be read as having identical products or security properties.
Free tools Windows power users keep installed
One-click scans. No signup required.
Chinese government analysis: security risks are not only offensive
A China National Information Center article published April 1, 2025, discusses risks including data security, model attacks, reliability, backdoors, interpretability and governance. It republishes an edited version of a 2024 article in Information Security Research. The article states, in the original Chinese, that “AI large models face various malicious attacks, including model theft attacks, data reconstruction attacks, and instruction attacks” (translation from the Chinese). Its emphasis illustrates that model security and governance are concerns in more than one national policy context.
Rank #4
- Dual Converters, Infinite Potential：Includes 2× USB C male to USB A female adapters and 2× USB A male to USB C female adapters. Perfect for a wide range of uses—tablets with Bluetooth keyboards, expand USB ports on macbook, and more. Two different converters for all your daily needs
- Next-Level 10Gbps & 3A Charging: No more slow 480Mbps, this usb to usb c adapter has a transfer speed of up to 10Gbps, allowing you to do more transferring in less time. This usb adapter fits both USB A and USB C charger, supporting up to 3A fast charging
- Upgraded Exquisite Craftsmanship: With an aluminum alloy housing and metal connector, the usbc to usb adapter is extremely durable and sturdy. Rigorously tested to withstand more than 10,000 times of plugging and unplugging, ensuring long-lasting performance
- Broad Compatible: The usb c to usb adapter widely supports all USB C/ USB A devices like laptops, tablets, cellphones, car chargers, and phone chargers. Such as compatible with MacBook Pro/Air 2023/2022, Thunderbolt 4/3 Devices,Apple MagSafe Watch 9/8/7/SE/Ultra, iPad Pro 2022/2021, Samsung Galaxy S23/S20/S10, and iPhone 17/16/15 Pro. Plug and play
- Please Note: To reach 10Gbps speed, keep the cable under 3.3 ft. For USB A Male to USB C adapters, try flipping the USB C connector. USB C Male to USB A adapters support bidirectional 10Gbps transfer within 3.3 ft
Academic work: evaluation beyond a single score
A paper in the ACM Web Conference Companion Proceedings, published May 23, 2025, describes a security-evaluation framework for Chinese large language models. Its authors report using more than 12,000 samples across four dimensions: value evaluation, robustness, training-data security and prompt-injection attacks. That scope reflects a broader evaluation agenda than measuring cyber-task ability alone; the reported sample count does not, by itself, establish how any named model performs.
A 2025 review in the Bulletin of the Chinese Academy of Sciences, “Large models empowering cybersecurity: Opportunities and challenges,” addresses the opportunities and challenges of using large models in cybersecurity. Its indexed abstract identifies practical issues including privacy, model security, continuous updates and reliability. Those topics underline why defensive adoption requires attention to the surrounding system, not only the model’s headline capabilities.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should an organization compare models and deployments?
Compare a specific model version in its intended deployment, not a country label or a single leaderboard position. A useful assessment keeps performance, safeguards and exposure on separate axes:
What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
Best Value
- 5-in-1 Connectivity: Equipped with a 4K HDMI port, a 5 Gbps USB-C data port, two 5 Gbps USB-A ports, and a USB C 100W PD-IN port. Note: The USB C 100W PD-IN port supports only charging and does not support data transfer devices such as headphones or speakers.
- Powerful Pass-Through Charging: Supports up to 85W pass-through charging so you can power up your laptop while you use the hub. Note: Pass-through charging requires a charger (not included). Note: To achieve full power for iPad, we recommend using a 45W wall charger.
- Transfer Files in Seconds: Move files to and from your laptop at speeds of up to 5 Gbps via the USB-C and USB-A data ports. Note: The USB C 5Gbps Data port does not support video output.
- HD Display: Connect to the HDMI port to stream or mirror content to an external monitor in resolutions of up to 4K@30Hz. Note: The USB-C ports do not support video output.
- What You Get: Anker 332 USB-C Hub (5-in-1), welcome guide, our worry-free 18-month warranty, and friendly customer service.
- Cyber-task performance: What tasks were tested, how were they scored, and which exact model versions were compared?
- Agent security: Can hostile instructions in content or tool outputs redirect the agent, and were the tests simulated or conducted in a live environment?
- Refusal robustness: What harmful-request set and jailbreak method were used, and how does the model behave under those specific conditions?
- Data and deployment exposure: Where do prompts, credentials and logs go? What access controls apply? Is the model connected to tools or network resources?
- Availability and adoption: Is the model accessed through an API, distributed as weights, or integrated into another product? Adoption indicators show availability, not misuse.
- Governance and response: Are evaluation methods and update practices transparent? Can the organization detect incidents and revoke access or change models when needed?
Before deployment, record the exact model and version, the tools it can use, and the data it can reach. Test the application with hostile instructions in the kinds of documents, messages and tool outputs it will encounter, then check whether permissions and approval gates prevent unsafe actions. Reassess after model or application updates; a result for an earlier version should not be assumed to describe a later one.
What the evidence does not establish
The available comparisons do not establish that every Chinese LLM is more dangerous than every U.S. model, that DeepSeek is universally better or worse at hacking, or that the simulated hijacking and jailbreak results predict the frequency of real-world abuse. Nor does a rise in downloads demonstrate malicious use. The strongest conclusions are narrower: named models differed across specific tests, and those differences make safety and deployment controls important parts of cybersecurity evaluation.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
