GetReal Security Launches the First Trust and Authenticity Platform — Combining Real-Time Continuous Identity Verification and Deepfake Detection
For decades, enterprise identity security has been built on a single foundational assumption: that verifying someone's identity at the point of entry — a password, a face scan, a hardware token — is sufficient to establish trust throughout a digital interaction. That assumption has been quietly invalidated. AI-generated deepfakes now clone faces and voices with near-perfect accuracy in real time. North Korean fake candidates have been infiltrating enterprise hiring workflows. Scattered Spider's MGM attack demonstrated how easily human controls can be bypassed through social engineering. The authentication layer protects accounts and devices — but it does not verify the human on the screen or on the phone. GetReal Security, the leading cybersecurity company in real-time protection against deepfakes and AI-powered identity attacks, has announced the general availability of its GetReal Protect platform — the first holistic, real-time solution that combines deepfake detection, impersonation detection, and continuous identity verification across voice and video.
GetReal Protect is now generally available to any organisation that relies on mission-critical digital workflows and interactions to conduct business. Co-founded by Dr. Hany Farid — the world's foremost authority on deepfakes and digital forensics — and backed by Forgepoint Capital, Ballistic Ventures, Evolution Equity, Cisco, IQT, and Capital One, GetReal Security combines cybersecurity and digital content forensics expertise in a platform built to answer the question that every security-conscious organisation now needs to ask: is the person on this call actually who they claim to be — not just at the point of login, but at every moment of the interaction?
"Our digital lives are made up of sound waves and pixels, and until now we've been technologically limited in how we can protect a person's likeness. It's time we reverse engineered and reimagine the concept of a background check and move to a pre-ground check. Identity should come first. That's the kind of digital safety that businesses, governments, and individuals deserve in this new AI environment."
— Matt Moynahan, CEO, GetReal Security
Why Point-in-Time Authentication Is No Longer Enough
The security architecture that governs most enterprise identity programmes was designed around a discrete, momentary challenge: verify the credential, grant access, proceed. Multi-factor authentication strengthened this model by adding a second verification step. Zero trust hardened the perimeter by requiring continuous authorisation of every request. But these advances all share the same limitation — they verify accounts and devices, not humans. They cannot answer the question: is the person currently on this video call the same person who authenticated five minutes ago?
AI-generated deepfakes have exposed this gap with alarming precision. Rapid advances in generative AI now enable real-time cloning of faces and voices with near-perfect accuracy — meaning that impersonations look and sound legitimate to both human observers and conventional authentication systems. A real-time voice clone of a CFO authorising a wire transfer. A video deepfake of a CEO issuing instructions to bypass controls. A synthetic identity passing a video job interview. These are not future risks — they are documented attack patterns that have caused measurable financial and reputational damage at named organisations. GetReal Protect is designed specifically to close this gap — adding what its team describes as the human layer to enterprise security architecture.
The platform's approach is grounded in a fundamental architectural insight: deepfake detection must be treated not as an optional edge capability but as a required core control layer in modern identity protection. It must be embedded in the IAM stack, ingested by SIEM and SOAR workflows, and triggered within collaboration platforms — operating continuously, automatically, and without friction, not as a separate, bolt-on process that humans must remember to invoke.
The Four Integrated Capabilities — GetReal Protect's Defence Architecture
GetReal Protect addresses the AI identity threat through four integrated capabilities — each answering a distinct and essential question about the person on the other side of a digital interaction.
Deepfake Detection — Is the Person on This Call Authentic or Synthetic?
GetReal's forensic-grade deepfake detection analyses real-time audio and video streams — combining statistical methods, AI-based pattern recognition, pixel-level analysis, compression artifact detection, biometric consistency checking, and physical environment analysis to determine whether the person or voice on a call is authentic or AI-generated. Unlike legacy black-box AI detection models, GetReal's approach is explainable — providing evidence trails that security teams can act on and investigate, not just binary verdicts with no supporting context.
Impersonation Detection — Does the Person Match the Claimed Identity?
Impersonation detection goes beyond deepfake analysis to ask whether the person who has presented themselves matches the identity they are claiming — correlating biometric signals, behavioural patterns, and contextual data against enrolled identity profiles. This addresses attack vectors including real humans impersonating other real people, credential sharing, session hijacking, and the synthetic identity fraud that has been used to infiltrate hiring pipelines and onboarding workflows at organisations across sectors.
Continuous Identity Verification — Does the Match Persist Throughout the Interaction?
Continuous identity verification is the most significant architectural advance in GetReal Protect's new general availability release — extending authentication from a moment at entry to a persistent, ongoing function throughout every digital interaction. Once a user has enrolled and consented, identity verification is automatic, frictionless, and continuous: no additional action required from the user, no repeated verification prompts, and no gap between the point of login and the end of the session during which a deepfake or impostor could operate undetected.
Global Threat Intelligence — Are Any Identities Known Threat Actors?
The global threat intelligence layer allows GetReal to flag identities that are known threat actors or users with excessive risk — cross-referencing active interaction participants against intelligence databases of synthetic identity fraud patterns, known attacker techniques, and flagged entities. Security teams gain the ability to see identity attacks as patterns rather than isolated events, mapping identity relationships and correlating signals across detections to build the enterprise-wide visibility that effective threat response requires.
"The threat of deepfakes and manipulated media is more than one expert can handle alone. That's why we developed our suite of leading digital forensic and cybersecurity solutions to protect enterprises, governments, and media. By developing capabilities that analyse images, audio, and video both asynchronously and synchronously, we are empowering organisations to figure out what's real and what's not and restore confidence in times of critical decision-making."
— Dr. Hany Farid, Co-Founder & Chief Science Officer, GetReal Security
Privacy by Design — Consent, Data Ownership, and SOC 2 Compliance
A platform that continuously verifies identity through biometric signals carries an inherent privacy responsibility — and GetReal has built its architecture around the principle that this responsibility must be met structurally, not just by policy. GetReal Protect operates on a foundation of user consent and data ownership: verification does not occur unless participants have consented, data is owned by the individual and never shared beyond the enterprise customer, and enrollees retain the right to revoke consent or remove their data at any time.
GetReal describes its role as that of custodian — acting on behalf of its enterprise customers to protect identity data, not accumulating it for its own purposes. This commitment is backed by SOC 2 Type II certification and compliance with GDPR, CCPA/CPRA, and BIPA — the core regulatory frameworks governing biometric and personal data in the environments where enterprise organisations operate at scale.
Native integration with Microsoft Teams, Cisco Webex, and Zoom — embedding continuous identity verification directly inside the collaboration tools where business-critical voice and video interactions take place.
40+ native integrations including Okta, Microsoft Entra, and CyberArk — complementing and strengthening existing IAM frameworks rather than requiring replacement of established identity infrastructure.
Available to any organisation relying on mission-critical digital workflows — from Fortune 500 enterprises to government agencies, serving the full range of environments where AI-powered identity attacks create the greatest operational and national security risk.
Key Takeaways
GetReal Security has launched GetReal Protect in general availability — the first platform to combine deepfake detection, impersonation detection, continuous identity verification, and global threat intelligence in a single, real-time solution across voice and video, available to any organisation relying on mission-critical digital workflows.
Continuous identity verification — the platform's most significant new capability — moves authentication from a point-in-time check at login to an ongoing, automatic, and frictionless function throughout every digital interaction, closing the gap that AI deepfakes and real-time voice cloning actively exploit in conventional enterprise identity stacks.
The platform integrates with 40+ enterprise tools including Okta, Microsoft Entra, CyberArk, Microsoft Teams, Cisco Webex, and Zoom — complementing existing IAM frameworks rather than replacing them, and adding the human layer that zero trust and MFA cannot provide to the enterprise security architecture.
Built on a consent-first, privacy-by-design architecture — SOC 2 Type II certified, GDPR/CCPA/BIPA compliant, with data owned by the individual and GetReal acting only as custodian — co-founded by Dr. Hany Farid and backed by Forgepoint Capital, Ballistic Ventures, Evolution Equity, Cisco, IQT, and Capital One. Learn more at getrealsecurity.com.
GetReal Protect's general availability release is a direct response to the AI security reality that enterprises have been confronting in isolation: that the human at the end of a digital interaction is now the attack surface, and that no amount of account-level authentication addresses the threat when a voice clone or deepfake is what an adversary deploys. CEO Matt Moynahan's framing — moving from background checks to pre-ground checks, placing identity first — describes the philosophical shift the platform embodies. In an AI environment where digital content can no longer be assumed to be authentic, the infrastructure that makes authenticity verifiable is not optional. It is foundational.
To learn more about the GetReal Trust and Authenticity Platform and schedule a demonstration, visit getrealsecurity.com.