Trusona provides an Identity Impersonation Detection (IID) platform that continuously validates the true identity of users interacting with enterprise helpdesks and support channels. By analyzing voice, video, text, device fingerprints, and behavioral cues with AI, it flags and blocks sophisticated impersonation attempts—including deepfakes—in real time, integrating seamlessly with existing ticketing, MFA, and SIEM systems.
Funding
$20M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
4OFounders
Product
Problem
Enterprise helpdesks are increasingly targeted by cybercriminals who use social engineering, credential theft, and generative‑AI deepfakes to impersonate employees and gain unauthorized access to internal systems. Traditional multi‑factor authentication and identity verification tools often fail to detect these sophisticated impersonation attempts, leading to account takeover and data loss.
Solution
Trusona delivers an Identity Impersonation Detection (IID) platform that continuously validates the true identity of users interacting with helpdesk and support channels. The service monitors behavioral cues, device fingerprints, and AI‑analyzed voice or video inputs to flag suspicious impersonation attempts in real time. When a potential fraud event is detected, Trusona triggers additional verification steps or blocks the request, preventing unauthorized access before it compromises systems. The solution integrates with existing ticketing, authentication, and security information platforms, allowing security teams to maintain a unified view of impersonation risk without disrupting legitimate user workflows.
Target Audience
Primary customers are large enterprises and mid‑size organizations that operate internal helpdesks, IT support centers, or customer service teams and need to protect against account takeover and impersonation threats.
Features
- AI‑driven analysis of voice, video, and textual cues to detect deepfake and synthetic identity attacks
- Continuous behavioral profiling and device fingerprinting for real‑time risk scoring
- Seamless integration with helpdesk ticketing systems, MFA providers, and SIEM tools via APIs
- Automated escalation to secondary verification methods (e.g., push notifications, biometric checks) when risk thresholds are exceeded
- Dashboard with live alerts, incident timelines, and actionable remediation recommendations for security operators