

Doppel is the Frontier AI-native Social Engineering Defense (SED) platform that helps organizations protect their brands, executives, employees, customers, and digital environments from modern social engineering attacks.
Founded in 2022, Doppel was built to address a fundamental shift in the threat landscape: attackers increasingly operate across multiple channels and use AI to create convincing impersonation, phishing, fraud, deepfake, and other social engineering campaigns at a scale and speed that traditional security tools were not designed to handle.
Doppel brings Digital Risk Protection (DRP), Human Risk Management (HRM), and Email Security together on a unified platform, enabling security teams to detect threats, connect related activity into coordinated campaigns, disrupt attacker infrastructure, and strengthen employee resilience against the same techniques being used in real-world attacks.
Doppel's Digital Risk Protection capabilities continuously identify and disrupt external threats across domains, social media, messaging platforms, paid advertising, marketplaces, the dark web, and other digital channels. Brand Protection helps organizations detect and remove impersonation, phishing infrastructure, fraudulent accounts, fake applications, malicious advertisements, and other threats targeting their brands and customers. Executive Protection extends this visibility to high-risk individuals, helping organizations identify impersonation, doxxing, deepfakes, and other threats targeting executives and VIPs.
Doppel Human Risk Management helps organizations measure and reduce human risk using realistic, threat-informed simulations and security awareness training. Instead of relying only on traditional email phishing tests and click rates, Doppel can simulate modern social engineering techniques across channels such as email, voice, SMS, messaging applications, and deepfakes. Real threats identified through Doppel's Digital Risk Protection capabilities can also inform employee simulations and training, helping organizations prepare their workforce for the tactics attackers are actually using.
Doppel Email Security extends the platform into the inbox. AI agents analyze messages using content, sender behavior, and external attacker infrastructure intelligence to identify sophisticated phishing and social engineering attacks. Doppel can trace malicious messages back to the infrastructure and broader campaigns behind them, allowing organizations to move beyond simply blocking an individual email and disrupt the attack at its source. Doppel Phishing Triage also helps automate the investigation and remediation of employee-reported suspicious messages.
At the center of the platform is the Doppel 360° Layer and Threat Graph, which connect signals across external infrastructure, email, employee behavior, and other digital channels. Rather than treating a suspicious domain, impersonation account, phishing email, or deepfake as an isolated event, Doppel correlates related signals to provide campaign-level context and enables coordinated action across the social engineering attack chain.
Doppel uses agentic AI to automate detection, correlation, investigation, prioritization, takedowns, phishing triage, simulations, and other security workflows. This approach helps security teams respond to growing attack volumes while reducing repetitive manual investigation and remediation work.
Organizations can use Doppel for a range of social engineering defense use cases, including:
By connecting external threat intelligence, human risk, and inbox protection through a shared intelligence layer, Doppel gives organizations a more complete view of social engineering activity across the full attack chain—from the infrastructure attackers create, to the messages and impersonations they launch, to the people they ultimately target.
Doppel's mission is to protect the world from social engineering attacks every day by helping organizations move from fragmented, reactive defenses to a unified approach that detects, disrupts, and defends against modern social engineering.
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