Real-time call analysis
Evaluates incoming audio and video throughout a live interaction, rather than relying on a single convincing moment or only analyzing a recording afterward.
Diopter AI
Freemium
Diopter AI is a deepfake and AI social engineering detection platform for organizations handling high-trust calls involving payments, access, identity verification, and hiring. It analyzes audio, video, participant identity, conversation behavior, and policy alignment to surface risks while an interaction is still live.
O que é Diopter AI?
Diopter AI is a real-time defense platform for deepfakes and AI-enabled social engineering. It analyzes audio and video streams during calls and evaluates the interaction as a structured conversation event rather than treating it as a single media artifact. The system is designed to identify synthetic voices, manipulated video, AI-generated identities, and behavioral patterns associated with fraud.
Its purpose is to help teams assess whether a caller is genuine and whether a request follows the organization’s required process before money, credentials, access, or an identity record changes hands. Diopter checks participants against a directory and meeting platform, watches for authority, urgency, isolation, and escalation, and flags requests that conflict with corporate, security, or finance policies.
The product is aimed at high-trust workflows such as financial approvals, help desk credential resets, remote interviews, vendor interactions, and executive communications. Alerts can include evidence and a recommended action for security teams while the call is in progress. Diopter also offers media analysis outside live calls through its detector tools and a Claude connector for checking linked images, video, and audio.
O que Diopter AI pode fazer?
Synthetic voice and video detection
Looks for indicators of cloned speech, AI-generated audio, face swaps, and manipulated video, including vocal, facial, spectral, timing, lighting, and boundary signals.
Participant identity checks
Compares participants with the organization’s directory and meeting platform to flag an outsider presenting themselves as an internal person or trusted role.
Social engineering pattern detection
Tracks authority claims, urgency, isolation, escalating pressure, secrecy, and requests that emerge at the end of an attack sequence.
Policy enforcement alerts
Identifies requests that violate company security, finance, or other approval processes and warns users not to act without independent verification or the proper process.
Media tools and Claude connector
Supports image, video, and audio checks through detector tools. In Claude, users can submit a direct, publicly reachable HTTPS media link and receive a verdict, confidence score, and full-report link.
Casos de uso
“Financial wire and payment approvals”
Finance or deal teams can receive warnings when an apparent executive, vendor, or other participant combines identity anomalies, pressure tactics, and a request to change bank details or release funds.
“Help desk and access recovery”
IT support teams can use signals around an impersonated employee, unusual urgency, or a request for an MFA reset or credentials before restoring access.
“Remote hiring and candidate verification”
Recruiting and security teams can assess remote interviews for synthetic candidates, stand-ins, manipulated video, and other indicators relevant to employment and system-access risk.
“Executive and vendor communications”
Organizations can scrutinize high-trust calls where an attacker may rely on a familiar role, cloned voice, or plausible story to redirect a payment or bypass an approval control.
“Media verification in Claude”
Users or teams can ask Claude to check a linked image, video, or voice clip for AI generation or manipulation, then review the resulting Diopter report in the dashboard.
Perguntas frequentes
What does Diopter AI detect?
Diopter detects synthetic voice calls, deepfake video, AI-generated identities, and social engineering patterns. Its analysis includes audio and video manipulation signals as well as behavioral indicators in the conversation.
Can Diopter detect deepfakes in real time?
Yes. The product analyzes incoming audio and video streams while a call is in progress and can issue alerts as evidence develops. Its site also describes alerts with evidence and recommended actions for the security team.
Who is Diopter AI designed for?
It is intended for organizations where a convincing impersonation could move money, grant access, or change an identity record. Relevant users include financial services, KYC and identity verification providers, media organizations, enterprise hiring teams, help desk agents, finance staff, recruiters, and security or fraud teams.
How does the Claude integration work?
After creating a Diopter account and connecting it in Claude, a user shares a direct HTTPS link to an image, video, or audio file and asks Claude to check it with Diopter. The connector returns a verdict, confidence score, and link to the full report; longer scans can be checked later using the request ID.
Does Diopter replace independent verification?
No such replacement is stated. Live-call alerts recommend independent verification or following the proper process when a request appears fraudulent or violates policy, so results should be used as decision-support signals within the organization’s controls.
Informações rápidas
- Category
- Cybersecurity; deepfake detection; fraud prevention
- Primary users
- Security and fraud teams, finance teams, help desk agents, recruiters, and organizations running remote identity checks
- Core media types
- Audio, video, and images
- Main workflow
- Real-time analysis of calls and structured conversation events
- Claude integration
- Direct HTTPS media links can be analyzed from Claude; results are saved to the Diopter dashboard
- Website
- diopter.ai
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