Doppel provides an AI-native platform that unifies threat intelligence, automates takedowns, simulates attacks, and trains employees against multi-channel deception campaigns. It addresses AI-transformed social engineering threats, including impersonation, fraud, and phishing across web, social, messaging, ads, app stores, email, and dark web. The platform uses a Threat Graph to connect spoofed domains, fake profiles, and malicious ads into coordinated campaigns for infrastructure disruption. It pairs AI detection with expert analysis, continuously learns from attacks, and integrates with existing security systems for scalable protection of brands, executives, employees, and individuals.
Detects and disrupts impersonation threats faster than traditional methods.
Automates takedowns at infrastructure level to reduce analyst workload.
Correlates signals across channels for complete threat visibility.
Requires integration with existing security systems for full functionality.
Depends on continuous data from attacks for optimal AI adaptation.
Hybrid model involves both AI and human expertise, potentially increasing operational complexity.
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