In a world where audio, video, and imagery can be convincingly faked by machines, GetReal Security is betting big that the solution lies in a seamless blend of automation, forensics, and human expertise. Today, the California-based cybersecurity startup launched its new unified platform designed to identify and counter the rising tide of AI-driven deception—everything from deepfake fraud to identity manipulation.
The move isn’t just a product release; it’s a strategic consolidation of GetReal’s offerings into a single cloud-native platform that serves enterprises, governments, and media organizations alike. The goal: make it possible to tell what’s real and what’s not, at machine speed, before critical decisions are made based on faked data.
An Infrastructure for Trust in the Age of AI Fakery
The rise of generative AI has enabled threat actors to convincingly forge video, clone voices, and manipulate digital evidence with frightening accuracy. For organizations that rely on audio-visual communication—think executives on video calls, journalists verifying footage, or public officials issuing alerts—the implications are enormous.
“The threat of deepfakes and manipulated media is more than one expert can handle alone,” said Dr. Hany Farid, Co-Founder and Chief Science Officer at GetReal. “By developing a suite of digital forensic and cybersecurity capabilities that asynchronously and synchronously analyze images, audio, and video, we are empowering organizations across industries to figure out what’s real and what’s not and restore confidence in times of critical decision-making.”
Farid, a renowned expert in digital forensics and media integrity, helped design the platform to operate across all content modalities—video, audio, and images—whether they’re stored in files or streaming live.
Beyond Detection: A Digital Chain of Custody
What sets GetReal apart is its focus on operational integration. The platform isn't just a standalone analyzer; it offers a full stack of tools through a web-based UI, APIs, and third-party integrations. It blends statistical methods, AI-based pattern recognition, and traditional forensics to authenticate content across the lifecycle of a communication—before, during, and after it happens.
Jim Brennan, the company’s Chief Product & Technology Officer, frames it as a necessary evolution in cybersecurity.
“Protecting the modern digital enterprise demands a more holistic approach—one that goes beyond traditional tools and considers the full spectrum of malicious digital media and AI-driven threats,” Brennan said. “Our platform brings everything together, providing a unified solution that authenticates images, audio, and video in real-time. With advanced forensics analysis and expert on-demand assistance, we’re equipping enterprises with the capabilities they need to detect deepfakes, mitigate risk, and make critical decisions with confidence.”
Four Pillars of Protection
The platform’s launch comes with a quartet of targeted services designed to map to various stages of threat readiness and response:
GetReal Prepare: A readiness assessment that evaluates current exposure and builds a policy and training roadmap in partnership with cybersecurity veterans.
GetReal Inspect: An on-demand forensic analysis engine that verifies the authenticity of multimedia content, including audio, video, and images.
GetReal Protect: A real-time monitoring system that detects synthetic media in live streams and issues alerts to halt impersonation attempts in their tracks.
GetReal Respond: A high-touch incident response service offering advanced forensics and expert analysis during active or post-event investigations.
$17.5 Million Series A to Accelerate Market Push
Alongside the platform’s debut, GetReal also announced it has closed a $17.5 million Series A funding round. The investment will be used to accelerate R&D, grow the product suite, and ramp up go-to-market efforts. Though the company hasn’t disclosed investors, the raise signals that the market for deepfake defense is moving from niche to necessary.
A War on Synthetic Reality
As generative AI capabilities become democratized, the line between authentic and artificial continues to blur—making trust in digital communications a fragile commodity. GetReal’s platform is a timely response to this crisis of confidence. And with its holistic blend of automation, analytics, and human expertise, it’s angling to become the standard bearer for real-time media authentication.
Whether it's a CEO video address, a journalist's raw footage, or a whistleblower audio recording, the question remains: Can you trust what you're seeing and hearing? With GetReal’s new platform, the answer might finally tilt back toward yes.