Outtake provides an autonomous AI platform that continuously scans open‑source channels—including text, image, video, and audio—for brand‑related threats. Its LLM‑driven classification engine prioritizes incidents and triggers automated remediation actions such as domain takedowns and fraudulent account removal via integrated provider APIs, while a browser extension cryptographically signs outbound emails. The solution integrates with existing SIEM/SOAR tools for unified incident management.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face a rapidly expanding attack surface where AI‑generated phishing, deep‑fake impersonation, and automated brand abuse appear across websites, social media, domain registrations, mobile apps, and digital advertisements. Traditional security tools rely on manual OSINT and signature‑based detection, which cannot keep pace with the volume, speed, and multi‑modal nature of these threats.
Solution
Outtake delivers an autonomous, agentic AI platform that continuously monitors open‑source information channels—including text, image, video, and audio—for any mention of a customer’s assets. Its fleet of specialized agents performs real‑time threat classification using large‑language‑model inference and graph‑based correlation to prioritize incidents. When an impersonation campaign is detected, remediation agents automatically execute takedown actions—such as disabling fraudulent domains, removing malicious social‑media accounts, and disabling rogue applications—through integrated APIs with DNS providers, social platforms, and ad networks. A complementary browser extension, Outtake Verify, cryptographically signs outbound emails and enables employees to flag brand‑abuse domains, extending protection to the email channel. All data flows through encrypted pipelines and can be ingested by existing SIEM/SOAR solutions for unified incident management.
Features
- Autonomous AI agents for continuous multi‑modal scanning of the open web, social platforms, domain registries, and app stores.
- LLM‑driven threat classification engine that scores and clusters incidents using graph analytics for rapid prioritization.
- Automated remediation workflows that invoke provider APIs to suspend impersonation accounts, seize malicious domains, and block fraudulent ads.
- Outtake Verify browser extension employing passkey‑based authentication and Merkle‑tree hashing to cryptographically sign emails and display a verified badge to recipients.
- Employee‑driven brand‑abuse reporting portal that feeds directly into the agentic remediation pipeline.
- Native integrations with SIEM and SOAR platforms via RESTful APIs and webhook connectors for end‑to‑end security orchestration.
- End‑to‑end encryption and role‑based access controls complying with zero‑trust principles for data at rest and in transit.