GetReal Security

High-Level Overview

GetReal Security is a cybersecurity company specializing in detecting and mitigating threats from malicious generative AI content, such as deepfakes and synthetic media.[1][3][4] It offers a unified platform with products like GetReal Prepare (readiness assessments and training), Inspect (on-demand forensic analysis), Protect (real-time alerts), and Respond (expert incident handling), serving enterprises, governments, financial institutions, media, and social platforms to authenticate images, audio, video, and streams.[1][3][6] The platform solves the growing problem of AI-powered deception that undermines identity trust in critical interactions like video calls, payments, and executive communications, using multi-layered AI, statistical, and forensic methods.[2][5] Backed by a $17.5M Series A in March 2025 from Forgepoint Capital, Ballistic Ventures, Evolution Equity, Cisco Investments, IQT, and Capital One, GetReal shows strong growth momentum with product launches like GetReal Inspect in February 2025.[2][4][6]

Origin Story

GetReal Security was founded on November 30, 2022, and incubated by Ballistic Ventures, a cybersecurity-focused VC firm, alongside UC Berkeley professor Dr. Hany Farid, a pioneer in digital forensics known as the "godfather of digital forensics" for his 25+ years in image analysis and deepfake detection.[4][6][7] Ted Schlein, Co-founder and General Partner of Ballistic Ventures, co-founded the company (initially GetReal Labs) to address the rising threats from democratized AI tools enabling malicious synthetic content.[6][7] The idea emerged from Farid's frontline experience combating AI-generated deception and Schlein's recognition of existential risks to economies and societies.[7] Key milestones include launching from stealth, appointing cybersecurity veteran Matt Moynahan as CEO in August 2024, debuting GetReal Inspect in February 2025, and securing Series A funding in March 2025 to scale go-to-market and technology.[6]

Core Differentiators

GetReal stands out through its multi-modal, multi-layered detection approach combining digital forensics, cybersecurity, and machine learning, resistant to adversarial attacks unlike single-technique competitors.[2][3][5]

• Multi-Dimensional Analysis: Examines content credentials (C2PA/watermarks), pixels/artifacts, physics violations, provenance, semantics, biometrics, behavior, and environment for robust deepfake detection.[2][3]
• Unified Platform: Web UI, API, and integrations for automated real-time analysis across media types, plus expert services for complex cases.[1][3]
• World-Class Expertise: Led by Dr. Hany Farid (Chief Science Officer) and Matt Moynahan (CEO), blending academic forensics with industry cybersecurity.[2][4][6]
• Proactive Defense: Three-phase strategy—detect early (Inspect/Protect), disrupt spread, and discredit fakes—infused into workflows like video conferencing.[3][5]

Role in the Broader Tech Landscape

GetReal rides the explosive rise of generative AI and synthetic media, which disrupts identity trust in digital interactions despite MFA and passwords, as bad actors exploit deepfakes for fraud, impersonation, and manipulation.[2][7] Timing is critical amid AI democratization, with much online content soon AI-generated, targeting enterprises, governments, and media amid escalating threats.[1][7] Market forces like regulatory pressures for content authenticity (e.g., C2PA) and demand for verifiable media favor GetReal's forensic "DNA test" for content.[3][5] It influences the ecosystem by redefining cybersecurity for AI-era threats, partnering with investors like Cisco and Forgepoint to integrate detection into platforms, restoring confidence in high-stakes decisions.[1][2][4]

Quick Take & Future Outlook

GetReal is poised to lead deepfake defense as synthetic threats proliferate, expanding its platform with AI advancements and go-to-market scaling from recent funding.[2][6] Trends like multimodal GenAI evolution and physics-exploiting detections will shape its edge, while integrations into collaboration tools and real-time streaming will drive adoption.[1][3] Its influence may grow through ecosystem partnerships, potentially setting standards for media trust and attracting acquisitions by hyperscalers. As the authority on AI deception, GetReal anchors cybersecurity in an era where distinguishing real from fake defines digital reliability.[4][7]