Enterprise video SDK integrations frequently expose critical security vulnerabilities. Client-side secrets, unvalidated webhooks, and bypassed authentication layers create attack vectors that persist in production systems. These implementations typically function correctly during development, but fail security audits and present significant risks in enterprise environments. We’ve built a real-time
WebRTC is a foundational technology behind many real-time communication applications, including telehealth platforms handling sensitive health data and enterprise collaboration tools exchanging confidential business information. While WebRTC offers strong security by design, building a secure application requires more than just relying on its built-in protocols. This WebRTC
Voice AI applications are changing how businesses handle customer interactions and how users navigate digital interfaces. These systems process spoken requests, understand natural language, and respond with generated audio in real time. Building a voice AI application requires understanding speech processing, language models, and real-time communication infrastructure.
AI-powered voice agents are transforming communications across industries like telecom, healthcare, and enterprise customer service. But delivering low-latency, natural-sounding AI responses in real time at low costs remains a major challenge. Leveraging the “lightweight AI” of Small Language Models (SLMs) and free open-source stacks can help overcome
