GetReal Security provides the GetReal Trust & Authenticity Platform (GTAP), a multimodal identity defense that detects deepfakes, synthetic voices, and manipulated media across video, audio, and image streams in real time. By combining forensic‑grade media analysis, continuous biometric and behavioral authentication, and adaptive security policies, it verifies the human on the screen during meetings, interviews, and other digital interactions, allowing enterprises to block imposters and enforce immediate mitigation actions.
Funding
$17.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Remote work and digital communications rely on video and voice interactions, yet organizations still assume identity based on appearance and sound. Generative AI now enables real‑time deepfakes that can convincingly clone faces and voices, allowing imposters to infiltrate hiring pipelines, bypass security controls, and execute fraud. Traditional authentication protects accounts but does not verify the human on the screen or phone, leaving the “human layer” vulnerable to synthetic identity attacks.
Solution
GetReal Security offers the GetReal Trust & Authenticity Platform (GTAP), a multimodal identity defense that verifies the authenticity of people in files and live digital interactions. The platform combines forensic‑grade media analysis, continuous biometric and behavioral authentication, and adaptive security policies to detect deepfakes, synthetic voices, and manipulated media across video, audio, and image streams. Real‑time alerts expose imposters during meetings, interviews, or credential‑reset requests, enabling immediate policy enforcement such as session termination or additional verification steps. Threat intelligence feeds enrich detections with known bad‑actor signatures and tool fingerprints, while an identity threat graph maps the impact of synthetic identities across users and meetings. The solution integrates with existing enterprise workflows through APIs and policy engines, delivering low‑friction protection for legitimate participants and actionable evidence for investigators.
Target Audience
Primary customers are security, risk, and compliance leaders in enterprises—such as CISOs, CIOs, CHROs, and CEOs—who need to protect remote work, hiring, finance, and customer‑service workflows from synthetic identity attacks.
Features
- Multimodal deepfake detection across video, audio, and image files and live streams using pixel‑level analysis, watermark/credential verification, and AI‑driven forensic models
- Continuous real‑time identity authentication that correlates biometric, behavioral, and contextual signals during calls and meetings
- Adaptive security policy engine that can auto‑eject sessions, prompt hosts, or trigger secondary verification when an impostor is detected
- Integrated threat intelligence and identity threat graph that surface known adversary likenesses and map the “blast radius” of synthetic identity exposure
- Enterprise‑grade integrations via flexible APIs for video‑conferencing, contact‑center, and HR platforms, supporting policy enforcement and alert routing
- Forensics‑grounded evidence generation with replay, explainable artifact reports, and expert‑validated documentation for compliance and legal review
- Dedicated modules for specific use cases such as candidate fraud detection, executive impersonation protection, and help‑desk social engineering mitigation