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Securly Filter

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Overview

Overview

Securly is a K–12 student-safety platform whose Filter product controls web access on school networks and managed devices. It categorizes sites, blocks harmful or distracting content, detects proxy and circumvention attempts, manages YouTube and generative-AI access, and reports student internet activity.

Browsing policy depends on the identity, device, and context of a request. Technology teams maintain those relationships and distinguish filtering reports from any separately managed student-support response. Policy enforcement and student-support decisions have different owners. Browsing data needs appropriate access and context when used beyond troubleshooting or access administration.

Features

Features

Securly Filter

  • Applies cloud-based web policies across supported devices and locations with K–12 content and CIPA controls.

Safety monitoring

  • Pairs with Securly Aware to identify concerning searches, language, or activity for authorized response teams.

Family and classroom tools

  • Can provide parent controls and teacher classroom-management functions through additional modules.

Reporting and analytics

  • Reports browsing, blocks, circumvention, AI use, and edtech application activity by authorized scope.

Student Data Privacy

Student Data Privacy
Review the Common Sense Privacy Rating:
https://privacy.commonsense.org/evaluation/Securly

Securly Filter Privacy Policy:
https://www.securly.com/privacy

Signed California Student Data Privacy Agreement?
Yes

Company News

Company News

Interoperability

Sign-on, rostering, and file exchange methods

Select a connector to see every product that supports it.

Securly is the first product to audit student posts on Facebook, Twitter and Google+. We also employ cutting edge natural language processing algorithms to flag activity on these networks that might be indicative of cyber bullying or self harm.

Securly is the first product to audit student posts on Facebook, Twitter and Google+. We also employ cutting edge natural language processing algorithms to flag activity on these networks that might be indicative of cyber bullying or self harm.

Note: SDLA does not endorse or resell any products listed on the site. They are listed simply to aid in the development of integration resources for school district ed-data leaders.

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District Systems Initiative

School districts using this product

29 California school districts are currently associated with this product in the SDLA database.

Member access

See the districts behind the list.

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Associations compiled from district surveys, public records, vendor information, and ongoing review.