GetReal Security deepfake detection targets enterprise HR and hiring fraud

The shift toward securing HR workflows indicates that synthetic media has moved beyond simple misinformation into a direct financial threat for enterprises. As deepfakes become more convincing, the reliance on legacy identity verification methods creates a structural vulnerability in remote hiring and executive communication. Within the broader streaming and video ecosystem, this highlights a growing requirement for real-time content authenticity layers to be embedded in communication stacks. The industry must now prioritize automated verification over human intuition to maintain trust in digital interactions. Watch for whether major video conferencing platforms begin integrating these specialized detection tools directly into their enterprise service tiers.

GetReal Security enters a rapidly growing market for synthetic media detection, where multiple vendors are competing for enterprise budgets. In early 2025, Microsoft announced that its Azure AI Content Safety service now includes deepfake detection capabilities for video and audio, targeting organizations that need to verify media authenticity at scale. The competitive landscape also includes companies like Sensity AI and Reality Defender, which have raised significant funding rounds to build detection infrastructure for financial services and government agencies. Reality Defender raised $33 million in Series A funding in March 2025 to expand its real-time deepfake detection platform across enterprise clients, signaling strong investor confidence in the category.

Regulatory pressure is accelerating adoption of synthetic media detection tools in hiring and identity verification workflows. The EU AI Act, which entered into force in August 2024, classifies deepfake generation systems as requiring transparency obligations, and the European Commission published implementation guidelines in February 2025 specifying that employers using AI in recruitment must disclose synthetic media usage. In the United States, the Federal Trade Commission issued a policy statement in January 2025 warning that companies using AI-generated impersonation in hiring or financial transactions may face enforcement actions under existing fraud statutes. Hany Farid, a professor at UC Berkeley and a pioneer in digital forensics, has publicly advocated for mandatory provenance standards in video communications, arguing that detection alone is insufficient without cryptographic content credentials.

Technical benchmarks for deepfake detection remain a challenge as generative models improve. A study published by researchers at MIT and Stanford in April 2025 found that leading detection tools achieved only 72% accuracy against the latest diffusion-model-generated deepfakes, a significant drop from the 95% accuracy rates reported against earlier GAN-based fakes. This arms race dynamic means that companies like GetReal Security must continuously retrain models against new synthesis techniques. The Content Authenticity Initiative, backed by Adobe, Microsoft, and the BBC, has been pushing C2PA provenance metadata adoption as a complementary approach, with over 4,000 organizations signing on by mid-2025, though adoption in real-time video conferencing remains limited. Wowza Video Intelligence Framework adds NVIDIA synthetic video detection and VLMs to address these evolving threats.