The Doppel platform addresses one of the most urgent challenges in modern cybersecurity: defending enterprises against large-scale, AI-driven impersonation and social engineering campaigns that threaten revenue, reputation, and regulatory standing.
As attackers exploit brand identity through fake domains, social media accounts, paid advertisements, messaging channels, and deepfakes, organizations face fraud losses, customer churn, reputational damage, and compliance risk. Traditional digital risk protection tools generate fragmented alerts that require manual triage, and security awareness tools check compliance boxes without meaningfully shaping behavior. Doppel takes a fundamentally different approach.
The Doppel platform unifies Digital Risk Protection and Human Risk Management, closing the loop with end-to-end detection, takedown, simulation, and training. At the center, Doppel’s Threat Graph uses agentic, AI-correlated intelligence to map and dismantle entire attack campaigns. It connects spoofed domains, fake profiles, malicious ads, and messaging infrastructure into a unified graph, identifying shared infrastructure and prioritizing threats based on reach and reuse. Rather than surfacing alerts, Doppel then executes autonomous takedowns across providers: domains, registrars, ad networks, social platforms, and telcos.
Doppel leverages OpenAI’s latest reinforcement-learning fine-tuning models to refine large language models using thousands of analyst-led cybersecurity decisions. By learning from real-world adjudication patterns, the platform automates complex security operations end-to-end. This work was featured in an OpenAI case study highlighting early use of reinforcement fine-tuning to operationalize AI-driven cybersecurity workflows at enterprise scale.
Using Doppel Simulation, a multi-channel, AI-powered social engineering engine that mirrors modern adversary tactics across email, voice, messaging platforms and deepfake scenarios, Doppel strengthens organizational resilience. It replaces outdated phishing tests with realistic simulations and threat-informed training content that measure true social engineering readiness and reinforce secure behavior.
By delivering campaign-level visibility, sophisticated human risk management, and automated disruption, Doppel enables security teams to act within the narrow time window required to prevent fraud and brand damage. Customers achieve a median response time of 4.82 minutes, a median phishing URL mitigation time of 18 minutes, and a median takedown time under 10 hours across domains, social media, and paid ads.
Delivered as a fully managed SaaS platform, Doppel reduces analyst burden, lowers total cost of ownership, and strengthens readiness for frameworks such as SOC 2, ISO 27001, and PCI.
By unifying campaign intelligence, autonomous disruption, reinforcement-trained AI, and human risk validation, Doppel delivers enterprise-grade protection built for the speed and scale of modern AI-driven attacks.
