Diopter Description
Diopter AI serves as a cutting-edge platform designed to detect deepfakes and impersonation in real-time during live video and voice communications. This solution empowers organizations to confirm the identities of individuals they engage with by identifying synthetic faces, replicated voices, virtual camera manipulations, and dubious social-engineering behaviors, particularly in situations deemed high-risk.
Various departments such as security, human resources, finance, and customer support utilize Diopter to mitigate threats like executive impersonation, help-desk fraud, unauthorized approvals, counterfeit candidate interviews, and sophisticated social engineering tactics enabled by AI. Unlike traditional methods that focus on post-event analysis, Diopter is tailored for teams that require assurance during live digital interactions to maintain security and trust. Overall, it represents a proactive approach to safeguarding against emerging threats in digital communication.
Diopter Alternatives
Sumsub is a single verification platform that allows you to onboard more customers worldwide, speed up their access, reduce costs, and fight digital fraud. Sumsub combines effective verification flows with higher conversion rates worldwide through a powerful, all in one suite designed for a wide variety of needs: KYC/AML verification, KYB verifications, payment fraud prevention and face authentication.
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Adaptive Security is OpenAI’s investment for AI cyber threats. The company was founded in 2024 by serial entrepreneurs Brian Long and Andrew Jones. Adaptive has raised $50M+ from investors like OpenAI, a16z and executives at Google Cloud, Fidelity, Plaid, Shopify, and other leading companies.
Adaptive protects customers from AI-powered cyber threats like deepfakes, vishing, smishing, and email spear phishing with its next-generation security awareness training and AI phishing simulation platform.
With Adaptive, security teams can prepare employees for advanced threats with incredible, highly customized training content that is personalized for employee role and access levels, features open-source intelligence about their company, and includes amazing deepfakes of their own executives.
Customers can measure the success of their training program over time with AI-powered phishing simulations. Hyper-realistic deepfake, voice, SMS, and email phishing tests assess risk levels across all threat vectors. Adaptive simulations are powered by an AI open-source intelligence engine that gives clients visibility into how their company's digital footprint can be leveraged by cybercriminals.
Today, Adaptive’s customers include leading global organizations like Figma, The Dallas Mavericks, BMC Software, and Stone Point Capital. The company has a world class NPS score of 94, among the highest in cybersecurity.
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DeepWall
DeepWall is a cybersecurity and identity protection platform built to detect deepfakes, synthetic voices, and manipulated media that target executives, brands, public figures, and creators. The system continuously monitors major platforms such as YouTube, X, TikTok, Facebook, Instagram, Reddit, and news sites for unauthorized uses of a person’s face or voice. Users create a biometric profile by submitting several photos and a short voice recording, allowing DeepWall to generate facial embeddings and a voiceprint for ongoing comparison. Its AI detection engine analyzes videos frame by frame and evaluates audio tracks to identify possible face swaps, voice clones, and other AI-generated impersonations. When suspicious content exceeds a chosen confidence threshold, the Canary Alert System sends fast notifications through email, SMS, Slack, push alerts, or API webhooks. DeepWall includes evidence export tools that generate timestamped reports with video links, screenshots, confidence scores, and audio analysis for legal or platform takedown use. Enterprise teams can monitor multiple executives, route alerts to legal or PR teams, assign threats, and manage access through role-based permissions. The platform is designed with AES-256 encryption, TLS 1.3, GDPR compliance, CCPA compliance, and user-controlled biometric deletion. By combining real-time monitoring, AI-powered detection, and response-ready evidence, DeepWall helps organizations act before impersonation threats spread.
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DuckDuckGoose AI
DuckDuckGoose is an advanced deepfake detection platform designed to help organizations identify and prevent AI-generated or manipulated media from entering critical systems. The platform analyzes images, videos, audio recordings, and identity documents to detect signs of synthetic or altered content. It is built specifically for identity verification, compliance, fraud prevention, and digital risk management teams. DuckDuckGoose integrates easily into existing workflows through flexible APIs and SDKs that deliver near-instant detection results. The system provides explainable outputs, including visual traces and detailed logs that support compliance audits and forensic investigations. Its AI models are trained on diverse datasets to detect sophisticated deepfakes while maintaining extremely low false-positive rates. The platform supports multiple deployment environments, including cloud, on-premise, and hybrid infrastructures. DuckDuckGoose offers specialized tools such as Phocus for multimedia detection, Waver for audio deepfake analysis, and DeepDetector for image and video verification. These tools help organizations secure onboarding flows, prevent identity fraud, and detect manipulated media at scale. By combining high accuracy, fast detection speeds, and transparent reporting, DuckDuckGoose helps enterprises make reliable decisions in environments where digital authenticity is critical.
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Pricing
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Company Details
Company:
Diopter AI
Year Founded:
2026
Headquarters:
United States
Website:
diopter.ai
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Customer Support
Online Support
Diopter Features and Options
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