imper.ai provides impersonation detection and prevention technology designed to protect organizations from social engineering attacks across digital communication channels. The company was founded by cyber intelligence experts to address AI-driven social engineering threats targeting modern workforces. The platform uses multi-layered identity detection that analyzes network, device, and digital identity markers rather than message content, preserving privacy while identifying threats. The technology operates in an agentless manner, requiring no software downloads or workflow disruptions. It monitors various communication channels including calls, messages, video conferences, candidate interviews, and help desk interactions to verify identities in real time. The detection engine examines metadata and digital breadcrumbs to identify impersonation attempts without reading the actual content of conversations. This approach allows the system to spot red flags that attackers cannot hide while maintaining data privacy for organizations. The platform integrates with existing communication tools and collaboration systems used by distributed workforces. imper.ai targets enterprises with geographically dispersed teams that need to verify identities across multiple communication channels. The company addresses threats including deepfakes, impersonation attacks, and various forms of social engineering that exploit digital communications. The founders bring experience from cyber intelligence backgrounds, applying knowledge of attacker tactics to develop detection capabilities.