Arkose Labs offers a defense‑in‑depth platform that combines multi‑layered device fingerprinting, behavioral biometrics, and cross‑industry threat intelligence to identify and block bots, fraud, and account‑takeover attacks on web, mobile, and API endpoints. The solution provides adaptive, AI‑resistant challenges, automated response actions, and a cloud‑hosted analytics console with SDKs and RESTful APIs for integration into existing security stacks.
Funding
$70M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SVFounders
Product
Problem
Online services face increasingly sophisticated bot attacks and fraud vectors—including account takeover, credential stuffing, API abuse, and large‑scale data scraping—that overwhelm traditional security controls and degrade legitimate user experiences.
Solution
Arkose Labs delivers a single, defense‑in‑depth platform that combines cross‑industry threat intelligence, multi‑layered device fingerprinting, and real‑time behavioral analysis to identify and block malicious activity. The system deploys AI‑resistant, risk‑based challenges that adapt to the attacker’s sophistication while preserving frictionless access for genuine users. Detected threats are neutralized through automated response actions, and detailed telemetry is streamed to a cloud‑hosted analytics console for continuous monitoring and incident response. The platform integrates with existing authentication flows, APIs, and security stacks via SDKs and RESTful APIs, enabling rapid deployment across web, mobile, and API endpoints.
Target Audience
The solution is aimed at security, fraud‑prevention, and product teams at large enterprises in banking, fintech, e‑commerce, online gaming, travel, media streaming, and other digital platforms that require high‑scale protection of user accounts and APIs.
Features
- Multi‑layered device fingerprinting that aggregates hardware, network, and browser signals to generate a unique, tamper‑resistant device ID.
- Behavioral biometrics and interaction analytics that assess mouse movements, keystroke dynamics, and touch patterns to distinguish humans from bots.
- Threat‑intel network that aggregates real‑time attack data across industries, enriching detection models with global attacker behavior.
- AI‑resistant challenge engine that serves adaptive puzzles, CAPTCHAs, and frictionless verification steps calibrated to risk scores.
- Automated response orchestration (challenge escalation, session termination, IP blocking) with configurable policies for account registration, login, and API calls.
- Integrated email intelligence and phishing protection modules that validate sender reputation and block credential‑phishing attempts.
- Cloud‑based analytics dashboard offering real‑time alerts, trend visualizations, and API endpoints for SIEM or SOC integration.
- SDKs and language‑agnostic APIs for seamless embedding into web, mobile, and server‑side applications, supporting FHIR and other industry standards.