I Review Routers for a Living. Don’t Buy a Router Right Now


Key takeaways:

  • The FCC has banned the sale of new foreign-made routers in the US, and this sweeping order applies to virtually every Wi-Fi router currently available in the US market.
  • My expert advice is to hold off on purchasing a new router if you can. 
  • Under the current rules, banned routers will no longer receive essential security firmware and software updates after March 1, 2027. 
  • The FCC’s action has effectively frozen the entire market while router companies scramble to gain approval. 
  • More specific information on which router companies will be subject to the ban is expected to become clearer within the next month or two. 

In my eight years of writing and reviewing broadband and routers, I’ve rarely seen news that I would describe as unprecedented. The FCC’s recent decision to ban foreign-made routers is absolutely unprecedented.

The sweeping order applies to any router in which any stage of “manufacturing, assembly, design and development” occurs outside the US — in other words, just about any router you can buy right now. The FCC order says that foreign-made routers pose “unacceptable risks” to national security.

The ban doesn’t apply to routers that were already authorized by the FCC — that is, every router that’s currently for sale in the US — and will only impact new models that haven’t been approved yet. That means every router that was available before the order is still available today, and router companies can still restock them using their existing manufacturing processes. 

Essentially, the FCC is freezing the entire router market. As William Budington, a technologist for the digital rights nonprofit Electronic Frontier Foundation, put it to me, “This is using an extremely blunt instrument.”

Where previous FCC bans have been limited to specific companies, such as last year’s push to ban TP-Link routers, this one affects an entire industry. So where does that leave someone who needs a new Wi-Fi router? Should you buy a model you’ve had your eye on in case it sells out? Or is it better to wait and see which companies the FCC considers foreign-made?

I know what I would do, but I gut-checked my advice with some industry experts. Turns out, we agree. 

My advice: Hold off on buying a new router for now

When I first saw the FCC’s announcement, I couldn’t stop thinking about how much chaos this would introduce to the US router market. As I tried to tease out which manufacturers would count as “foreign-made,” it quickly became clear how deeply international the supply chains for routers are. 

Understanding the scope of the ban

Take Netgear. While it’s a US-founded and headquartered company, it manufacturers routers in Vietnam, Thailand, Indonesia and Taiwan. With the exception of Starlink — the company says its newer routers are made entirely in Texas, according to the BBC — I couldn’t find a single router brand that’s homegrown. 

I don’t have any issues recommending routers that were manufactured abroad. After all, they’d already gone through the FCC’s authorization process, and I haven’t seen convincing evidence that any one router brand has more hardware vulnerabilities than another. 

Thomas Pace, CEO of cybersecurity firm NetRise, told me last year during an interview about the potential TP-Link ban: “We’ve analyzed an astonishing amount of TP-Link firmware. We find stuff, but we find stuff in everything.”

I just finished testing, reviewing and rating over 30 routers, and after years of resistance, I finally concluded that Wi-Fi 7 routers are worth the money for the speeds you get. While I stand by my recommendations, with this ban in place, the router you buy today may not be any good in a year. 

The future-looking security risk

Then I saw the FCC’s Public Notice on the ban, which specifies that manufacturers can continue providing software and firmware updates “at least until March 1, 2027.” That means if you own a foreign-made router — if you own any router, in other words — it won’t be able to get security patches after that deadline. 

That’s why I think the wise move here is to wait on buying one if you can. Keeping your router’s firmware up-to-date is an essential part of securing your home network. If you buy from a router company that doesn’t get an exemption from this ban, you risk having an unsecured device a year from now. 

It’s an ironic side effect of an order that is ostensibly designed to keep Americans safer: They may no longer be able to get the latest security fixes.  

“If you’re limiting the ability of people to get security updates, then you’re making the problem worse, not better,” Alan Butler, senior counsel at the Electronic Privacy Information Center, told me. “A lot of those routers are going to turn into pumpkins in a year unless they extend this waiver.”

By saying you can update your firmware “at least until March 1, 2027,” the FCC does leave some wiggle room for an extension. But until we know more about which companies the FCC considers foreign-made and which will be exempt, I wouldn’t feel comfortable recommending spending money on a new router right now. 

Advice for immediate router needs  

If your old router stopped working, I’m not going to tell you to wait for clarity from the FCC to get back on Wi-Fi — the timeline for concern is more in years than months. A good compromise might be to buy an older budget router rather than the latest Wi-Fi 7 model you’ve had your eye on. But if you can afford to wait a month or two, it’s worth exercising some caution. 

“I do think this is going to become a mess very quickly,” Butler said.

This is the messiest point in the process we’re likely to see. As the dust settles in the coming weeks, we’ll likely have better information on which routers will still be safe to use a year from now. 

black-wifi-router

TP-Link is one of the most popular router brands in the US, and the subject of several 2025 government investigations.

Gianmarco Chumbe/CNET

Expert opinion: Is your current router still safe to use?

When I polled four cybersecurity experts, I was surprised to find that they were generally in favor of the FCC taking action to protect router security in theory, but critical of the execution. 

“It’s going to impact many harmless products in order to stem a real problem,” Budington said.  “It’s also not particularly well-targeted, since routers are only one part of the problem, along with IoT devices.”

The concern for national security risk 

The FCC says that routers produced abroad were “directly implicated” in the Volt, Flax and Salt Typhoon cyberattacks. These attacks aren’t necessarily targeting an average person’s data, but they can turn your router into a tool to be used in malicious attacks. 

“The individual user who owns the router probably doesn’t even know anything about it,” Butler said. “It’s happening in the background without their knowledge, and it’s not necessarily affecting them directly in any way that they can notice.” 

In the Salt Typhoon attack, hackers gained access to data from millions of people through their internet providers, aiming to gain access to information from court-authorized wiretaps. It was a particularly bold instance of a tried-and-true hacker approach called “spray and pray”: Find default login credentials and try them on as many connected devices as you can. 

“It can be only one router out of 5,000, but that one can be a bingo,” Sergey Shykevich, a threat intelligence manager at Check Point Research, told me about these types of attacks. “It’s mostly just easy. In many cases, you don’t have to be a very sophisticated actor, or even nation-state, in order to be successful.”

How you can secure your router right now 

It’s just as easy for hackers to gain access through a router’s default credentials as it is for you to change your own settings. Most routers have an app that lets you update your login credentials from there, but you can also type your router’s IP address into a URL. These are different from your Wi-Fi name and password, which should also be changed every six months or so. It’s also a good idea to keep your firmware updated, which you can do automatically in your router’s settings or by manually downloading updates in your router’s app or web portal.

When will we know more?

I wish I could point to another time when the FCC ordered a blanket ban on an entire category of consumer products, but nothing like this has happened before. Manufacturers can apply for “Conditional Approval,” and they are likely scrambling behind the scenes to make the cut. When I reached out to the FCC for more clarity on the order, I was referred to the commission’s “Covered List” FAQ page.

My best guess is that we’ll learn more specifics on which companies are banned in the next month or so — an estimate that was echoed by two industry observers I spoke with. But the wait could be even longer. Budington told me he thinks router companies might wait until the ban is lifted rather than hustle to try to move their entire supply chains to the US. 

No matter how it shakes out, we’ll likely look back on this as the most chaotic chapter of the router ban story. Unless you need a new router immediately, there’s a good chance you’ll be able to make a more informed decision a month from now. 





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What is Power BI?  

Power BI is referred to as a Software as a service (SaaS) platform, a Business Intelligence tool that helps analyze organizational data and also helps in creating real-time and interactive dashboards. The Power BI business intelligence tool can be installed on any desktop, mobile or can be used online as well. It also helps in collaborating with every peer in the organization. Power BI is a data visualization tool that helps in developing dashboards and BI reports with business intelligence capabilities. Apart from data visualization, it also allows to perform data exploration, helps in establishing reliable and secure connections to the cloud data sources.

Power BI is used by many organizations because of its amazing features like visualization creation. Some of the visualization formats are column charts, area plots, bar charts, line plots, scatter plots, pie charts, treemaps, scatter plots, etc. It also includes a navigation pane that helps in navigating to the dashboards and reports, associated applications, recent work, etc. The Power BI tool also includes inbuilt functions called DAX functions that can be used for data analysis. These are predefined functions that are available in the library. In Power BI, the data can be imported either from a single or multiple data sources. Power BI is also capable of providing extensive support to both structured and unstructured data. It also includes pre-built templates for dashboard creation. You can also create customized dashboards. 

What is Python?

Python is referred to as a high-level, general-purpose, interpreted programming language that includes a set of pre-built functions and libraries which helps in performing complex operations and calculations. It is easy to learn and is used in most fields like data analytics, artificial intelligence, machine learning, etc. 

Python includes two libraries called Matplotlib and Pandas. Matplotlib library consists of the predefined functions that help in plotting the data visualizations while the pandas library also includes the predefined functions that help in working with the data available.

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Prerequisites for Power BI Python Integration:

Below is the list of the prerequisites required for Power BI Python Integration to take place.

  1. Python runtime installation: The python runtime installation includes the installation of the execution run time through which the Python script operations can be performed.
  2. Libraries installation: It is essential that some of the important libraries have to be installed which increases the robustness of Power BI. Some of the important libraries are Seaborn and Pandas.
  3. Installation of Visual Studio Code: The installation of Visual Studio code is optional. You can also install any other code editor for writing your python scripts. You can also make use of the Power BI script editor to write the scripts.
  4. Power BI settings update: The final step is to update the settings so that you can work efficiently with Python in Power BI. Through this, you can perform the scripting in Power BI. All you need to do is open up the Power BI desktop, click on the file option. Then click on options followed by settings, then navigate to the opportunities which open a new dialogue box in Power BI. Then you can click on the Python scripting, select the path from the directories and IDE of Python. Once done, you will need to click on the OK button.

Understanding the need for Python Integration in Power BI:

By now, you all might have got an idea of what Power BI and Python is for. Yes, Python is referred to as the powerful tool that helps in creating visualizations while Power BI is for creating well-versed dashboards. These dashboards include all the information which helps in providing a complete view of the organization growth, metrics, KPIs, etc. Hence, if Python and Power BI are integrated, it will be a plus for us to utilize the capabilities that Power BI and Python hold.

Apart from the above, Python and Power BI integration includes several other benefits listed below.

  • The users are allowed to run the python scripts directly within the Power BI
  • Through the integration, libraries like Matplotlib and Seaborn can be used in Power BI for data visualization.
  • Python has become a leading technology and all the machine learning frameworks and data science libraries are written in Python. Through the integration, it allows to create of the data analysis scripts using Power BI
  • To perform precise calculations and clear the complexities, some of the enriched libraries like NumPy and Pandas can be used.

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Power BI Python Integration:

In order to solve complex problems in an organization, it requires data and analytics. It also requires future predictions which gives us future insights and helps us clear the bypass of the issues. Through the business intelligence tools, all these predictions and data visualizations are represented in different forms for a better understanding and analysis. With the amazing capabilities that Power BI and Python hold, organizations are being successful with their integration attaining benefits.

Any idea on how the Power BI Python Integration is performed? Well, I will help with the step by step process to perform the Power BI Python integration.

  • Setup the Integrated Environment:

The primary step is to set up an integrated environment ready for the integration process to begin. You will need to have a distribution of Python readily installed in your machine/desktop. I preferred Anaconda for coding related tasks and the base distribution of Python. Sometimes, trying to integrate Anaconda with Power BI is a difficult task.

After the installation process is completed, you will need to install four python packages, each one has its own significance. They are :

Pandas – for data analysis and data manipulation

Matplotlib and seaborn – for plotting purposes

NumPy – for performing scientific calculations

The pip command in the command line tool is used for installing these packages into the machine.

pip install pandas

pip install matplotlib

pip install NumPy

pip install seaborn

Once the above packages are installed, the python scripting needs to be enabled in Power BI. If you want to check, you can open the Power BI and detect whether the python distribution is automatically detected or not. You will need to go to the files, followed by options and settings, then click on options. You will be able to view the home directory for Python under python scripting that is installed in the machine.

Setup the Integrated Environment

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  • Data Importing using the Python script:

It is time for you to check whether Python is working within Power BI by running a sample test. The primary step to perform this function is to import a small dataset using the Python script in Power BI.

To perform this, you will need to navigate to the Home ribbon, then move to the GetData option and click on the other option. Through this, you will be able to import the data from a different set of sources available. Some of the sources are Spark, Hadoop distributed file system, (HDFS), Web, etc. In the below image, I am going to import the Churn Prediction system that is available in my system.

Data Importing using the Python

Once you click on the connect option, you will see a section that allows you to write the Python script.

Python script

You will need to click on the OK button which will further ask you to select the churn data. Once done, you will need to click on the Load option. You can also perform a check whether the data has been loaded or not through the data view option. With this, you are now ready to make use of the power query in order to perform the data transformations.

Using Power Query To Transform the data:

All the individuals who have learned Python would know that data transformation is no longer a single task-based activity.

By using the Power Query editor, the user can shape and transform the data as required with just a single click. The Power BI is also capable of keeping the record of all the transformations and operations that take place or happen during the process of transformation. We will now show you how to use the Power query to understand and know the data transformation capabilities.

Once the data is loaded in the Power BI, you will need to click on the transform data option which is available under the Home tab in order to open the query editor.

Once the query editor is opened up, you will see multiple options to perform the operations like clean, reshape and transform the data.

Power Query To Transform

We will now convert the customer_nw_category variable into a text field because these fields represent the worth category. Also, you need to know that it would not be a continuous variable.

To perform the same, you will need to select the column -> Go to the Data Type, and change the data type to a text format. All the steps will be recorded by the Power query under the applied steps section. You can also rename these steps for a better recall or reference. I will rename this step as nw_cat Text. The next step is to transform the churn column into a logical variable. True here represents for churned (1), whereas False here represents not churned (2). The step can be renamed as Churn True/False.

customer_nw_category

Once the above operation is performed, you will need to click on the close and apply option which will be available on the top left corner so that all the transformations made will be applied.

Using Python’s Statistical within Power BI:

Power BI is considered a library of visualization. Correlation matrix heatmap is an integral component in the data analysis reports.

We will guide you on how to create a correlation matrix heatmap by making use of the Python correlation function. The created heatmap will be available in the reports section in Power BI.

You will need to navigate to the Report section that is available in the Power BI. Then click on the Py symbol which denotes Python visual which is available under the visualizations section. On the left side, you will see an empty Py along with a Python script editor popping up at the bottom of the screen. By this, you might have understood that Power BI is providing an option to create the visualizations with the scripts.

All the value fields will be empty firstly. For correlation heatmap illustration, all the continuous variables will be brought into the value fields, like the age current, previous month balance, monthly balance items, etc. This is considered one of the most essential steps during the integration process. If you forget to perform this step, the Power BI will not be able to recognize the variables.

As the variables are moved into the values fields, the python script will be automatically populated with the below codes.

Let us also write the code for correlation heatmap creation in Python by using the seaborn package.

# import the charting libraries matplotlib and seaborn

import matplotlib.pyplot as plt

import seaborn as sns

# create the correlation matrix on the dataset

corr = dataset.corr()

# create a heatmap of the correlation matrix

sns.heatmap(corr, cmap="YlGnBu")

# show plot

plt.show()

You can now use the run script button and run the script, which will produce a correlation matrix heatmap.

Python’s Statistical within Power BI

Generating analytical reports:

After the heatmap is generated, we can analyze the heatmap and will come to a conclusion.

With the above heatmap, below are the set of conclusions made:

  1. There is no correlation with the other variables for the number of dependents and age.
  2. There is a moderate correlation observed for the average monthly balance in the time span of the last two quarters.
  3. There is a high correlation between the average monthly balance with the previous month balance and the current month balance in the last quarter.
    It is possible to generate a heatmap for the customers who have churned and you can also compare with the customers that do not have. You can apply the filter of churn = False or True so that the heatmap can be observed. Through the analysis, it helps in deriving useful insights from data analysis to the prediction of the behavior.
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Conclusion:

Through this article, you have got a clear idea of the process of integration of Python with Power BI. I hope the above information helps you. To get a clear understanding and in-depth knowledge on the subject, you can get trained and certified in Power BI through the Power BI training. The integrated environment will definitely help the organizations to handle and play with the data as and when needed. It focuses on enhancing the power and capitalizing on the benefits that are available in both tools.

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