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features
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support

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Description

Identify and address both recognized and unrecognized vulnerabilities throughout all stages of the device and software supply chain. Instead of simply aligning binaries with a catalog of known vulnerabilities, our method delves deeper into the execution of code, which allows for the detection of defects beyond just the binaries themselves. This innovative strategy enables Binarly to uncover a wide range of defect categories, surpassing the scope of known issues, and facilitates a quicker identification process with minimal false positives. We focus on recognizing both established and previously unidentified vulnerabilities, along with malicious activities, rather than relying solely on hash values or signature comparisons. Our approach expands insights past the Common Vulnerabilities and Exposures (CVE), revealing which vulnerabilities are present at the binary level. Additionally, by leveraging machine learning, we significantly reduce alert fatigue, achieving near-zero false positives, ensuring that our clients can focus on genuine security threats. Together, these strategies provide a comprehensive view of potential security risks in the supply chain.

Description

CaseScan is an advanced platform utilizing AI for content detection targeted at online platforms, Trust & Safety teams, and law enforcement agencies. This innovative tool merges deep-learning techniques for image and video analysis with both exact and perceptual hashing methods to identify known CSAM, as well as previously unidentified CSAM, AI-generated content, and altered sexual imagery. For online service providers, CaseScan offers a comprehensive API and SDK that seamlessly integrates into various aspects of their operations, including uploads, storage solutions, streaming services, avatar management, and chat functionalities. The results generated from detection processes can facilitate automated blocking, enable human review, trigger escalations, assist in takedown procedures, and enhance reporting mechanisms. Additionally, CaseScan is designed with a cloud-native, auto-scaling architecture that adheres to a strict zero media retention policy during the scanning of content. In the context of law enforcement, CaseScan acts as both a field and laboratory triage tool, aiding investigators in the identification and prioritization of suspected CSAM found on confiscated devices, including content that has not been previously cataloged. This system can function independently without the need for internet connectivity or access to external databases, and it incorporates protective features for investigators, such as automatic image blurring to maintain anonymity and safety. By providing these capabilities, CaseScan enhances both preventative measures and investigative efficiency in the fight against online exploitation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Binarly

Founded

2021

Country

United States

Website

www.binarly.io

Vendor Details

Company Name

CaseScan

Founded

2008

Country

United States

Website

casescan.com

Product Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

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