deepfake detection
GetReal Security is positioning itself at the intersection of digital identity verification and deepfake protection as enterprise demand for synthetic media defenses surges across industries.
deepfake detection
A new approach combines blockchain-based decentralized oracles with AI detection models to create tamper-resistant deepfake verification systems that don't rely on any single authority.
deepfake detection
At RSAC 2025, enterprise security leaders shared strategies for combating deepfake attacks targeting organizations, from real-time detection tools to zero-trust verification protocols.
deepfake detection
Orange Business integrates deepfake detection into its enterprise security portfolio, signaling growing demand for AI-powered authenticity tools in corporate communications and fraud prevention.
deepfake detection
At RSA Conference 2025, CISOs revealed how they're restructuring security operations to combat deepfake attacks targeting enterprise authentication and communications.
deepfake detection
Modulate launches Velma Deepfake Detect, a tool focused on identifying AI-generated synthetic voices in real time, addressing growing concerns about voice cloning fraud and audio deepfakes.
Voice AI
A technical breakdown of modern voice AI architecture reveals a three-layer 'sandwich' of ASR, LLM reasoning, and TTS synthesis — the same pipeline powering voice cloning and real-time conversational AI.
deepfake detection
As deepfake technology advances, unified communications platforms face growing risks from AI-generated voice and video impersonation, forcing enterprises to rethink security strategies.
deepfake detection
As real-time deepfake video calls become more convincing, people are turning to surprisingly simple verification tests to catch AI-generated imposters before falling victim to fraud.
AI Security
Palo Alto Networks CEO Nikesh Arora warns that expanding frontier model capabilities demand AI-powered defenses, signaling a new era where cybersecurity must match the pace of generative AI threats.
deepfake detection
As deepfake threats escalate, enterprises need rigorous frameworks to evaluate detection tools. Key criteria include accuracy benchmarks, latency, modality coverage, and integration capabilities.
deepfake detection
A new UK government report identifies significant challenges facing companies developing deepfake detection technology, including evolving generative AI capabilities, market fragmentation, and trust gaps.