Interview

Outtake raises $40M Series B to fight AI-driven impersonation and fraud at internet scale

Jan 28, 2026 with Alex Dhillon

Key Points

  • Outtake raises $40M Series B to expand detection and removal of AI-driven impersonation and fraud, with 20 million investigations conducted last year.
  • The company's competitive edge lies in institution-specific risk models that platforms at billion-user scale cannot finely tune, enabling faster takedowns that collapse attacker ROI.
  • Outtake is shifting from removing fakes to authenticating the real, exploring cryptographic email signing and iris-scan partnerships to position itself as an internet trust layer.
Outtake raises $40M Series B to fight AI-driven impersonation and fraud at internet scale

Summary

Outtake, a platform for detecting and removing AI-driven digital impersonation and fraud, raised $40M in Series B funding led by Iconic. Founder and CEO Alex Dhillon describes the company's mission as making fake things on the Internet very expensive and real things very obvious.

Outtake conducted 20 million investigations last year, with roughly 80-90% of that volume compressed into Q4 alone, approximately 17-18 million investigations in three to four months. That pace reflects both the severity of the threat and the limits of platform-native moderation.

Dhillon frames the shift in cybersecurity as fundamental. Attack economics have collapsed to near-zero, and institutions are no longer preparing for periodic breaches but operating under constant siege. The old wall-building paradigm no longer applies. Instead, the competitive dynamic turns on reducing time-to-takedown. A fraudulent account impersonating a public figure and selling AI-generated products stays profitable for ten days before removal. Taken down in hours, the ROI collapses.

Meta, Google, X, and TikTok care about the problem but face structural incentive misalignment. Operating at a scale of billions of users, they must balance fraud prevention against free speech and growth. They cannot finely tune detection models to specific institutional risk profiles the way a third party can.

Outtake's advantage lies in narrower focus. Rather than protecting 3 billion accounts globally, the company works with Fortune 2,000 enterprises, federal agencies, and state and local governments. That allows Outtake to build institution-specific models accounting for risk variations not just between organizations but within them. A bank assesses risk differently on social platforms than on websites.

The company's reporting confidence comes from using AI agents to conduct full cybersecurity investigations on every flagged item before surfacing it to platforms or domain registrars. That high-confidence signal allows platforms to trust and act on Outtake's reports quickly.

Dhillon is exploring a second layer beyond takedowns: proving authenticity. Verifi, a partnership with World ID, integrates iris scanning into enterprise workflows. Outtake is also working on cryptographic email signing, allowing institutions to attach passkey-backed signatures to outbound emails that prove the sender is a real, verified human. That shifts positioning from removing fakes to authenticating real.

Dhillon frames that evolution as the long-term prize: becoming a trust layer for the internet. By mapping and removing what is fake, Outtake positions itself as the canonical source of truth for what is real. The Series B and the velocity of investigations, especially the Q4 acceleration, suggest the company is tracking toward public markets.