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DeepTrust

DeepTrust AI develops advanced synthetic media detection and verification solutions to combat sophisticated deepfakes and manipulated content. Their platform utilizes proprietary machine learning models to analyze digital media authenticity across various formats. This technology provides enterprises and media organizations with reliable tools for content provenance and trust assurance in the digital landscape.

Traction 6/10
San Francisco, United States · HQ
Founded 20238700+ followers
  • Artificial Intelligence
  • Cybersecurity
  • Enterprise Software
  • Software Only
Updated 1 month ago

Funding

Raised to date

$3.7MRaised 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.

across 1 round

MI

Incomplete round history. $3.7M of the $3.7M reported total isn’t matched to a known round (1 known round has an undisclosed amount).

Founders

2 founders

Aman Ibrahim

CEO and Co-founder

Hichem El-mohri

Founding Machine Learning Engineer

Product

Problem

The increasing sophistication of social engineering tactics, including deepfakes and coercion, poses a significant threat to organizational security, particularly within voice and video communications. Traditional security measures are often insufficient to detect these evolving threats in real-time, leaving businesses vulnerable to fraud and data breaches.

Solution

DeepTrust provides a real-time conversational security platform designed to protect voice and video communications across various business applications. The platform employs advanced AI to detect social engineering, coercion, and deepfake threats during live calls. It offers immediate, in-call security training for employees, providing actionable guidance to mitigate risks as they occur. For security teams, DeepTrust streamlines incident response with summarized threat data and recommended actions, enhancing overall security posture and compliance.

Target Audience

The primary target audience includes contact centers, help desks, and organizations that rely heavily on voice and video communications for internal and external interactions, particularly those concerned with fraud and employee security.

Features

  • Real-time detection of social engineering, coercion, and deepfake threats within voice and video calls.
  • In-call, personalized security alerts and guidance for employees.
  • Streamlined incident response capabilities with threat summaries and recommended actions for security teams.
  • Customizable privacy, compliance, and configuration options tailored to organizational policies.
  • Integration with popular VoIP and communication platforms including Google Meet, Zoom, Microsoft Teams, RingCentral, and NICE.
  • On-premises deployment options available for organizations with specific data residency requirements.
  • Ability to fine-tune threat detection models using an organization's specific data upon request.
  • Adjustable sensitivity levels for threat detection to match organizational risk tolerance.
This profile is AI-generated and may contain inaccuracies.