Safer Enterprise is an all-in-one solution for comprehensive identification of known and unknown CSAM with a secure, self-hosted deployment to deliver scalable CSAM detection to any platform with an upload button.
Contact us to learn moreSafer’s hashing and matching services identify known CSAM by hash matching against a database aggregating 29+ million hashes. Hashing and matching is available via two deployment options:
Leverage our proprietary perceptual scene sensitive video hashing (SSVH) technique to detect known CSAM within video content.
Use cryptographic and our proprietary perceptual hashing techniques to match against a trusted hash lists of known CSAM imagery and video content.
Find new and previously unknown CSAM and focus on high-priority content with machine learning classification models.
Safer Enterprise’s review tool, a content moderation user interface, is available for content-hosting platforms. Built with flexibility and employee wellness in mind, the review tool offers protective settings to deliver an efficient and low-exposure moderation workflow.
Wellness features like blur, black and white, and resizing help reduce exposure.
Speed up content review with automated actions like classifier prediction scores and match distance flags.
Safer Enterprise’s reporting tool provides a form UI to collect necessary data and connects to central reporting bodies in the US and Canada. In addition to packaging documentation, Safer’s reporting tool includes secure storage to preserve reported content.
Safer Enterprise includes tools that enable cross-platform sharing of CSAM hash values. By enabling sharing, you’re choosing to share your self-managed hash list of CSAM you have detected on your platform, either named or anonymously, with other Safer customers. This can help diminish the viral spread of harmful content.
A self-sustaining feedback loop that improves matches, increases accuracy, and provides continuous service improvements.
A set of self-managed hash lists your content moderation team can use to reduce re-review of CSAM and to support policy enforcement for sexually exploitative content.
Begin CSAM detection quickly with our API-based solution. Requires minimal engineering resources to set up.
On-premises deployment for more control over your data and how the tech integrates into your infrastructure.
Programmatically identify known CSAM with cryptographic and perceptual hash matching for images and proprietary scene-sensitive video hashing (SSVH). Ability to match against a database aggregating 29M+ hashes of known CSAM.
Optimize perceptual hashing by adjusting for collision-prone hashes.
Detect new or previously unknown CSAM with machine learning classification models.
Mitigate re-review by adding verified CSAM to a self-managed hash list. Take advantage of cross-platform hash sharing with other Safer customers by enabling SaferList from your account portal.
A content moderation UI with wellness features built in.
A form UI to collect necessary data that enables you to connect to your NCMEC or RCMP cyber tip line account.
Securely store verified CSAM in provided AWS S3 containers.
Access to our support team for assistance with your on-prem implementation
Manage which hash lists you match against via your account portal
“Safer not only helps Bublup with legal compliance but also our shared mission of combatting child sexual abuse material on the internet. With Safer, Bublup can now review and report CSAM with greater efficiency when compared with our homegrown workflow, and it enables us to send potentially time-sensitive reports to the National Center for Missing and Exploited Children more quickly.”
Let’s discuss how Safer runs on your infrastructure.
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