Gartner Signals a New Cyber Battleground, Tapping GetReal as a Disruptor

AUSTIN, Texas – July 09, 2026 – In a move that sends a clear signal to the cybersecurity industry, research firm Gartner has identified Austin-based GetReal Security as a definitive 'Market Shaper' in the fight against AI-generated deception. The recognition, detailed in the new “2026 Gartner® Emerging Market Quadrant for Deepfake Detection — Startup Vendors” report, is made more significant by GetReal’s placement as the vendor with the highest 'Potential for Market Disruption.'

The acknowledgment is more than just an accolade for a promising startup; it’s a bellwether for a fundamental shift in enterprise security. As generative AI weaves itself into the fabric of daily business communication, the ability to discern human from synthetic is no longer a niche concern but a foundational pillar of corporate defense. Gartner's report validates this trend, highlighting that the market is rapidly moving beyond simple forensic analysis toward integrated platforms capable of securing trust in real-time.

Decoding the 'Market Shaper' Signal

For executives and investors tracking growth signals, a 'Market Shaper' designation from Gartner in an emerging category is a powerful indicator. It suggests that GetReal Security is not just participating in the market but actively defining its trajectory. Unlike established market reports, Gartner's Emerging Market Quadrant (eMQ) is designed for speed and agility, providing a snapshot of fast-moving sectors like AI security. Being named a leader here signifies an ability to innovate at the pace of the threat.

Positioning farthest to the right on the 'Potential for Market Disruption' axis is particularly noteworthy. This placement indicates that Gartner’s analysis, which scrutinizes a startup's scale, ecosystem, and strategy, sees GetReal’s approach as having the greatest potential to upend the status quo. This isn't just about detecting a deepfake video after the fact; it's about building a new defensive layer for the AI era.

The report underscores a critical evolution: passive deepfake detection is becoming obsolete. As one analyst noted, the weaponization of generative AI for real-time synthetic injection during calls or video meetings renders traditional forensic tools insufficient. The market is now demanding proactive, agentic authentication—a challenge GetReal Security has centered its entire platform on solving.

A New Battlefield: Beyond Simple Detection

The core of GetReal's disruptive potential lies in its philosophy, a sentiment echoed by its CEO, Matthew Moynahan. "AI-powered identity attacks have evolved beyond the point where deepfake detection alone is enough," he stated in the company's announcement. "Organizations need a broader platform that can continuously verify identity, apply forensic intelligence, and enable automated response in real time. That's the vision GetReal has been building toward from day one."

This vision translates into a multi-pronged platform that moves far beyond what the industry has traditionally considered 'identity security.' While conventional tools focus on authenticating user accounts and devices, GetReal secures what it calls the 'content layer'—the voice, video, and digital interactions where trust is forged and critical decisions are made. Its platform combines four key capabilities:

• Multimodal Deepfake Detection: Analyzing voice, video, and other digital workflows for signs of manipulation.
• Continuous Identity Verification: Ensuring the person on the other end of the line is who they claim to be, not just at the start of a conversation but throughout.
• Forensic-Grade Threat Intelligence: Providing detailed evidence and context around a detected threat, not just a simple red flag.
• Real-Time Security Policy Enforcement: Allowing organizations to automatically block or flag high-risk interactions as they happen.

The necessity of this approach is starkly illustrated by recent events. In one high-profile case, a finance director at a multinational firm was duped into transferring $25 million after a video call where every participant, including the supposed CFO, was a deepfake. With deepfake fraud attempts surging over 2,000% in the last three years and costing U.S. firms over $1 billion in 2025 alone, the threat is no longer theoretical.

The Race to Restore Trust

The market GetReal Security is helping to shape is expanding at a breakneck pace. Projections show the deepfake detection market soaring from several hundred million dollars today to well over $5 billion by 2034, with some estimates predicting a 40% jump in spending in 2026 alone. This growth is fueled by the alarming democratization of AI-powered attack tools, which can now generate convincing deepfakes in minutes for less than the cost of a movie ticket.

This escalating threat landscape has forced a reckoning within the security community. Experts agree that the future of enterprise defense lies in integrated platforms that link detection, identity assurance, and automated enforcement. According to recent industry analysis, the focus is shifting from perimeter-based security to an identity-centric model, where access itself is the new battleground.

As AI agents become more prevalent in business workflows, governing them with the same rigor as human identities is paramount. GetReal’s platform is an early but powerful answer to this challenge. By embedding verification and policy directly into communication channels, it aims to do more than just stop attacks.

"We're pleased to help shape this emerging market and to continue building the technology enterprises need to establish trust in the age of AI," Moynahan concluded. For businesses navigating a world of synthetic media, that quest to restore trust is the most critical growth signal of all.