About
DeepTrust is an AI-powered security platform designed to detect social engineering attacks, voice impersonation, and deepfakes during live phone and video calls. It analyzes calls in real time, identifying behavioral cues and audio/visual anomalies that indicate fraudulent or manipulative activity, helping organizations defend against increasingly sophisticated vishing, pretexting, and AI-generated impersonation threats. The platform operates on two levels: it delivers real-time on-screen guidance and alerts to employees during suspicious calls, coaching them on how to respond or escalate; and it provides security teams with automated detection workflows, incident logging, and response tooling to investigate and act on threats quickly. This dual-layer approach addresses both the human and operational sides of call-based attacks. DeepTrust is built for enterprise security and risk teams, particularly those in industries targeted by social engineering fraud such as finance, healthcare, and critical infrastructure. It integrates into existing communication and security workflows, enabling organizations to add a protective layer over voice and video channels without disrupting normal operations.
Key Features
- Live Call Deepfake Detection: Analyzes audio and video streams in real time to identify AI-generated voices or synthetic media used to impersonate individuals during calls.
- Social Engineering & Impersonation Alerts: Detects behavioral and linguistic patterns associated with social engineering tactics such as vishing, pretexting, and authority manipulation.
- Real-Time Employee Guidance: Provides on-screen prompts and recommendations to employees during live calls, helping them recognize red flags and respond appropriately without interrupting the conversation.
- Automated Security Team Response: Triggers automated workflows for security teams when threats are detected, including incident logging, escalation, and response actions.
- Enterprise Security Integration: Designed to integrate with existing communication infrastructure and security tooling, adding a protective layer over voice and video channels at scale.
Pros
- Addresses a Growing Threat Vector: Voice and video call-based attacks using AI-generated deepfakes are rapidly increasing; DeepTrust targets a gap that most traditional security tools do not cover.
- Dual-Layer Protection: Simultaneously supports frontline employees with real-time guidance and security teams with automated incident response, covering both human and operational defense layers.
- Real-Time Detection: Operates during live calls rather than post-hoc analysis, enabling intervention before fraud or data exfiltration occurs.
Cons
- Enterprise-Focused Pricing: As a specialized enterprise security product, it is likely cost-prohibitive for small businesses or individual users.
- Potential for False Positives: Real-time deepfake and social engineering detection on live calls is a technically challenging problem, and detection errors could disrupt legitimate business communications.
- Limited Public Information on Integrations: Detailed documentation on supported communication platforms, CRMs, or SIEM integrations is not broadly publicized, which may complicate procurement evaluation.
