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Google Will Now Let Users Remove Sensitive Personal Information From Search Results



Google Will Now Let Users Remove Sensitive Personal Information From Search Results

Google Will Now Let Users Remove Sensitive Personal Information From Search Results

Google seriously cares about the personal information of its users.

The company has a long history of developing Internet security technology that benefits its own users and the online world as a whole.

Over the years, it has become increasingly challenging to keep personal information off the web — but thanks to Google’s updated policies, users are now able to take more control of their online presence in search by heading to the Google support section and clicking on remove personal information.


Google users can now request personal information — such as phone numbers, email addresses and home addresses — to be removed from search engines. The policy expansion also enables people under the age of 18, or their parents or guardian, to request the removal of their images from Google Search results.

According to Google, being able to request the removal of personal information from the web for safety purposes isn’t a new feature.

For many years, people have been able to request the removal of certain sensitive, personally identifiable information from Search, per the blog post. This applies to cases of doxxing — when personal info, like addresses, are shared publicly with malicious intent — or for information like bank account or credit card numbers that could be used for financial fraud.


Google is making it possible for you to protect your personal information further by allowing removal requests for additional types of information that may pose a risk for identity theft, such as confidential log-in credentials, when it appears in Search results.

Once your request is submitted, you’ll get an automated email confirming your request. 

Please note that Google may ask for additional information: for example, a web address if there’s one missing from the original request submission.

When all of the information is submitted and the request has been processed, Google will notify you of any action taken in regard to your request.

It’s important to state Google may deny a removal request if it’s public utility information. 

When Google receives removal requests, they will “evaluate all content on the web page” to ensure that they’re not “limiting the availability of other information that is broadly useful, for instance in news articles.” Additionally, if the content appears as a public record on the sites of government or official sources, they won’t proceed with the removal.

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How Businesses Can Automate Root Cause Analysis (RCA) With Machine Learning



How Businesses Can Automate Root Cause Analysis (RCA) With Machine Learning

In the event of a severe incident for your business, you need to analyze what exactly changed (the root cause) to understand its impact.

Using machine learning for root cause analysis can help identify the event that caused the change quickly and easily.

Things can sometimes go wrong in your business’s daily operations. It can be a minor issue, such as a system outage lasting for a couple of minutes. Or it can be something severe as a cyberattack.

Generally, such events result from a chain of actions that eventually culminate in the event. Identifying the root cause is the best way to solve the issue. But manual root cause analysis takes time and often doesn’t provide the exact cause of a mishap. Using machine learning for root cause analysis can automate the process, helping identify the underlying cause quickly and with higher accuracy.

Power of Machine Learning for Root Cause Analysis

To understand why an issue occurred, you need to identify the root cause. But root cause analysis can often be complex and provide inaccurate results. Using machine learning for root cause analysis helps solve this issue.


Log Analysis

Using machine learning for root cause analysis can help zero in on the exact location of the problem. You don’t have to scroll through infinite logs to identify which components were impacted and when. The machine learning program can automatically and quickly find the root cause by analyzing a given log data set. 

Moreover, the machine learning program can even predict future incidents as more and more data is available. The program compares real-time data with historical data to predict future outcomes and warns you of any unwanted incident beforehand. This will help improve your incident response, reduce downtime and improve productivity.


Benefits of Using Machine Learning for Root Cause Analysis

There are many benefits of using machine learning for root cause analysis. It can help teams take the right action at the right time, minimizing your losses. Some of the benefits are discussed below.

Reduces Costs

The cost of solving the issue is reduced as your teams don’t have to guess and work around blind spots. Machine learning tools locate the exact line of code responsible for a performance issue, and your team can start working on fixing it right away.

Saves Time

The time spent fixing the issue is significantly reduced as it helps solve business pain faster by locating the cause quickly and accurately.

Provides Long-Lasting Solutions

Machine learning tools provide a permanent solution for your problems and foster a productive and proactive approach.

Grows Your Business

Using machine learning for root cause analysis helps improve the efficiency and productivity of your organization, which eventually leads to business growth.


No system is perfect. Incidents will happen, no matter what. But what you do afterward is in your control. Root cause analysis should be done as soon as possible. Using machine learning for root cause analysis not only improves your incident response, but over time, it can also help prevent incidents from happening in the first place.

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