Introducing “Dr.House” – Our New Debug Tool to Automate Network Troubleshooting

tool, web filter, network, debugThe back-to-school rush is fast approaching, and we have just the tool to ease IT admins and school administrators back into the swing of things…

Meet Dr. House, our new tool that allows customers to certify that their networks are up and running correctly. Dr. House launches a series of automated checks meant to detect the most common network misconfigurations. It performs a variety of tests including, but not limited to, the following:

  • Checks for the presence of a caching server that could be impending filtering.
  • Makes sure that there are no rogue DNS servers without securly DNS configured.
  • Verifies that the Securly certificate is installed.
  • Confirms that all outbound IPs are registered.
  • Ensures that critical Securly services are reachable from the network.

 

Securly was founded on the premise of a quick deployment – the antithesis to the customary web filter setup experience. While other web filtering products require a physical appliance (that still needs to be shipped and laboriously setup), we have been cloud-based from the start.

In the weeks ahead, we will also become the industry’s first self-servable web filter; setup can be completed through a web browser session. Our own Jayesh Agrawal, a software engineer who was instrumental in implementing this tool, says, “The release of Dr. House is a huge leap forward in automating network misconfiguration detection. We hope that this tool will save customers time and frustration while easing the deployment experience.

For more information, contact support@securly.com.

 

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Can Social Media Save Kids’ Lives?

The following is taken from our new whitepaper Can social media save kids’ lives?. We analyzed over a half million social media posts from over 300 school districts in 2016 to amass the data included in this paper.

social media, cyberbullying, school, suicide, parent

The majority of research centered around cyberbullying & teen emotional distress occurs after the fact, relying on student anecdotes and surveys.  By contrast, we are able to gather information in real time.  Our position as a network-based filter gives us unique access to such data, allowing us to find truths embedded within students’ own social media posts alone.

Our data shows that 30% of all flagged posts are a direct form of cyberbullying. From our previous study, we found that at least ⅓ of all students have been harassed online.  This is a growing problem that parents and schools cannot ignore, especially given its fatal consequences.  

Across the country, teen suicide numbers have soared.  An American Public Health Association study actually coined the term “cyberbullicide” to explain the causal relationship and correlated death toll.  Suicide is now the third leading cause of death among middle school children, and the second am
ong young adults ages 15-24.  

As social media is the prime avenue for cyberbullying, it’s reasonable for schools to wish to block social media as a preventative measure.  However, after extensive research, we believe social media can actually serve as the tool to save a child’s life.   

 Nowadays, teens increasingly turn to social media to seek counsel or vent emotional distress.  This includes warning sides of high-risk behavior like suicide and self-harm.  In fact, the average school district faces the threat of teen suicide about every two weeks.

Actual student posts:

  • “Life sucks and i wanna jump off a bridge.”
  • “If i kill myself no one would notice.”
  • “I am legitimately contemplating suicide and i legitimately want to kill myself.”

Using Machine Learning techniques, we are able to detect negative sentiment like the above in social media posts.  We then send high confidence alerts to the 1) school district IT admin 2) guidance counselors and 3) parents of the child, so that students receive the proper care and attention.

Already, our technology has helped schools prevent potential tragedy. Mark Nelson, IT Admin of Romeo Community schools, says: “Of the many features distinguishing Securly, none are so important as Sentiment Analysis.  We have contacted school counselors four times to make them aware of alarming posts by teenagers, so they could intervene with students and parents.  The avoidance of a single tragedy with one of our students makes Sentiment Analysis invaluable.”

This same technology can also detect for instances of cyberbullying, a major cause of suicide and depression.  Through social media, we plan to not only stop tragedy – but also eliminate the causes of such emotional distress.

For access to the full whitepaper including more information on student online behavior trends, click here.

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