Doppel is a San Francisco-based cybersecurity company that builds an AI-native platform to detect and dismantle social engineering attacks. The platform watches domains, social media, marketplaces, paid ads, and the dark web, then removes fraudulent content before it reaches customers. Its tooling pairs large language model reasoning with human analysts. This is a breakdown of Doppel AI- Features Explained for security teams evaluating the platform.
What Is Doppel AI and What Does It Do
Doppel runs an agentic AI system that classifies threats, confirms attacker intent, and pushes takedowns across digital channels. The company raised $70 million in Series C funding in November 2025 at a $600+ million valuation, bringing total funding to $124 million. CEO Kevin Tian leads the company, with Bessemer Venture Partners leading the latest round.
The platform ingests millions of domains, URLs, and accounts daily. According to OpenAI’s case study, Doppel uses reinforcement fine-tuning (RFT) to teach its models how to make consistent, explainable decisions on suspected attacks. The same approach security teams apply to secure coding practices on Linux shows up here: layered defense, with automation handling scale and humans handling edge cases.
Doppel AI Features Explained: Core Modules
The product splits into three main pillars: Doppel Vision for detection, Doppel Simulation for training, and an AI Content Builder for security awareness material. Each module solves a different stage of the attack lifecycle.
Doppel Vision: AI-Driven Threat Detection
Vision is the detection engine. It scans websites, social media, mobile apps, gaming platforms, paid ads, the dark web, and digital marketplaces for impersonation, phishing kits, and brand abuse. The LLM-driven pipeline runs targeted reasoning tasks at each stage: signal filtering, feature extraction, intent confirmation, and classification.
For domain threats, the system handles near-complete automation on phishing and impersonation domains. Madduluri, an engineering lead at Doppel, told OpenAI that domains were the hardest channel because signals shift constantly across surfaces. Investigators can also run manual whois lookups when verifying registration data on suspect lookalike domains.
Doppel Simulation: Social Engineering Training
Simulation lets security teams test employees against the exact attacks Doppel Vision detects in the wild. The product includes three sub-features released in September 2025: DRP Clone, Vishing Simulation, and Conversational Attack Simulation.
DRP Clone turns a real-world phishing kit into a training scenario in minutes. Vishing Simulation uses ElevenLabs-style voice cloning to generate realistic phishing calls, sometimes from as little as a few minutes of recorded audio. Conversational Attack Simulation runs multi-step social engineering across channels, mirroring how attackers actually escalate from email to phone to chat.
Deepfake and Voice Detection
Doppel identifies manipulated audio and video content that imitates executives or brand spokespeople. The detection layer analyzes generative adversarial networks (GANs) and text-to-speech model outputs to flag synthetic media. Voice cloning tools now need only a 10-second sample to replicate a person’s voice, which is why this feature became a separate product line. Other AI avatar and voice tools have made this attack surface cheap and fast to exploit.
AI Content Builder for Security Awareness
Released March 2026, the AI Content Builder generates custom security awareness training in minutes instead of weeks. It produces multistep vishing simulations, QR-code-based phishing tests, and personalized user risk reports. The module sits inside Doppel’s Security Awareness Training platform and pulls live threat intel to keep content current.
How Doppel AI Works Behind the Scenes
The detection stack sits on top of an LLM-driven reasoning pipeline trained with reinforcement fine-tuning. Human feedback becomes graded training data, which teaches the model to handle edge cases without analyst review on every flag. Doppel reports that this approach reaches near-complete automation on phishing and impersonation domains.
The platform integrates with existing security systems and scales horizontally. Cross-channel monitoring covers domains, social platforms, marketplaces, and app stores in continuous mode. Customers can connect it to email gateways, SIEM tools, and SOAR playbooks. Strong AI governance frameworks matter here because the system makes autonomous takedown decisions on flagged content.
Doppel AI Customers and Market Position
Doppel reported 400% growth in its enterprise customer base since 2024 and serves dozens of Fortune 500 customers. Key sectors include financial services, technology, retail, and pharmaceuticals where executive impersonation and brand abuse hit hardest.
The Series C investor list includes CrowdStrike CEO George Kurtz, NTT DOCOMO Ventures, Aurum Partners, and Andreessen Horowitz. The presence of CrowdStrike leadership signals where enterprise security buyers are moving budget next.
| Metric | Value |
|---|---|
| Total funding | $124 million |
| Valuation (Nov 2025) | $600M+ |
| Customer growth since 2024 | 400% |
| Fortune 500 customers | Dozens |
| CEO | Kevin Tian |
FAQs
What is Doppel AI used for?
Doppel AI detects and removes social engineering threats including phishing, deepfakes, executive impersonation, and brand abuse across domains, social media, apps, marketplaces, and the dark web for enterprise security teams.
Who founded Doppel AI?
Kevin Tian co-founded Doppel and serves as CEO. The company is based in San Francisco and has raised $124 million total across multiple funding rounds, with the latest Series C closing in November 2025 at over $600 million valuation.
How does Doppel detect deepfakes?
Doppel analyzes audio and video for manipulation artifacts produced by GANs and text-to-speech models. It tracks generative model behavior, compares content against brand assets, and flags synthetic media impersonating executives or spokespeople.
What is Doppel Simulation?
Doppel Simulation trains employees against realistic social engineering attacks. It includes DRP Clone for converting live threats into training, Vishing Simulation for AI-generated phishing calls, and Conversational Attack Simulation for multi-step scams.
Is Doppel AI enterprise only?
Yes. Doppel targets enterprise security teams, CISOs, and brand protection groups. It serves dozens of Fortune 500 customers and integrates with existing SIEM, SOAR, and email security stacks rather than offering self-serve plans.
