Diopter provides AI‑powered, multi‑modal protection that monitors phone and video calls to detect social‑engineering tactics, AI impersonation, and deepfake media. The platform verifies caller identity and payment instructions, flags fraud signals such as brand‑new email domains or SIM‑swapped numbers, and consolidates four detection signals into a single recommended action for security and fraud teams in large enterprises and private‑equity firms.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face increasing fraud from voice phishing, deepfake video scams, and sophisticated social engineering that manipulate callers into authorizing high‑value wire transfers or credential changes. Traditional security controls often miss these attacks because they focus on email or static media and lack real‑time verification of caller identity and intent during live calls.
Solution
Diopter provides an AI‑driven, multi‑modal defense platform that monitors voice and video calls in real time. It simultaneously verifies the caller’s identity, validates payment instructions, detects conversational manipulation patterns, and identifies synthetic audio or video media. The system aggregates these four signals into a single verdict and recommends an action—allow, flag for review, hold for verification, or block—tailored to the organization’s policy. Deployable on‑premise or in hybrid environments, Diopter integrates with existing communication stacks and can be rolled out via MDM without requiring caller‑side software. The platform continuously scores calls, reduces false alarms, and keeps sensitive media within the organization’s perimeter.
Target Audience
Primary customers are security and fraud teams at private equity funds, large enterprises, and other organizations that handle high‑value wire transfers or sensitive access changes via voice and video communications.
Features
- Real‑time AI analysis of voice and video streams to detect deepfake or synthetic media throughout the call
- Identity and payment instruction verification that flags anomalies such as new email domains or SIM‑swapped numbers
- Conversational‑arc monitoring that identifies pressure tactics, urgency framing, and out‑of‑policy requests
- Policy enforcement engine that maps detection results to recommended actions (allow, flag, hold, block)
- Continuous scoring and verdict matrix combining AI detection and conversation risk axes
- On‑premise and hybrid deployment options with MDM rollout, no caller‑side installation, and configurable media retention
- Integration hooks for security and fraud consoles, supporting automated workflow routing of verdicts