GetReal Security vs Hive AI-Generated Content Detection

GetReal Security provides a Trust & Authenticity Platform for detecting deepfakes, impersonators, manipulated media, and AI-generated deception in files and live interactions. It analyzes image, audio, and video files plus real-time streams for suspicious identities and altered content. GetReal Protect continuously checks identity during video and voice calls using biometric, behavioral, and contextual signals. It can apply adaptive policies, custom prompts, automated or on-demand protection, and optional automatic ejection. GetReal Inspect is a forensic workbench that produces explainable, multidimensional findings and documented evidence of manipulation. The Identity Threat Graph maps identity relationships and correlates signals to flag repeat attackers. Protect integrates with Microsoft Teams, Cisco Webex, Zoom, and voice systems; the company lists more than 40 native integrations, including Okta, Microsoft Entra, and CyberArk. API access and third-party integrations are available. GetReal Prepare offers readiness assessments and training, while GetReal Respond provides forensic experts, guidance, attestations, and detailed reports. Identity checks require participant consent, and GetReal says participant data belongs to individuals and is not shared. Pricing is on request.

Hive AI-Generated Content Detection offers APIs and a Chrome extension for detecting AI-generated visual media, text, and audio. The image and video endpoint runs generation and deepfake models, returning confidence scores and, when identified, the synthesis source. Text results include an overall classification and confidence score, plus classifications and scores for each 2048-character segment. Audio is assessed in 10-second chunks, each labeled AI-generated or not AI-generated with a confidence score. Developers can integrate through REST endpoints that return JSON labels and scores, using documentation and code samples; on-premises deployment is available for the APIs. The free Chrome extension scans images, video, text, and audio in real time without a fee or Hive login. Hive recommends tuning confidence thresholds for each use case, with guidance suggesting 0.9 for AI-generated images and 0.9 on any frame for AI-generated video. Potential users include social platforms, insurers, expense tools, dating and gaming apps, and livestreaming services. Hive says its infrastructure is SOC 2 Type II compliant and supports TLS encryption in transit, SAML single sign-on, and configurable data retention. Customers own submitted and generated data and can request deletion through support.