Arkose Labs Fraud and Abuse Prevention
6.3#13 in fraud detection softwareAndroidiOSWebAPI
Visit| Fact | Arkose Labs Fraud and Abuse Prevention | Fingerprint |
|---|---|---|
| AI agent detection | Arkose describes detecting and classifying AI agents using API patterns, behavioral analysis and proof-of-work validation, including agents that do not identify themselves. | AI Agent Detection identifies and verifies agents using Web Bot Auth cryptographic signing to distinguish signed agents from spoofed ones. |
| Headquarters | Arkose Labs says it is headquartered in the San Francisco Bay Area. | Chicago, Illinois, United States |
| Integrations | Integration options include open APIs, SIEM and SOAR connectors, CDN deployments, IAM, and analytics; featured partners include Okta, Auth0, Microsoft Azure, Cloudflare, Fastly, Akamai, SAP and Amazon CloudFront. | Official integrations include Cloudflare, AWS CloudFront, Fastly VCL, Fastly Compute, Segment, Akamai, Google Tag Manager, and Azure. |
| Purpose | Arkose Titan combines risk assessment and dynamic response to stop malicious bots, AI agents and human fraud networks across sign-up, sign-in and in-platform activity. | Fingerprint identifies web visitors and mobile devices to help stop fraud, detect bots and AI agents, and support smoother customer experiences. |
No prices published.
Arkose positions Titan for enterprises across sectors including financial services, fintech, gaming, travel, retail, social media, and telecommunications. It may suit organizations seeking adaptive fraud controls across account access, payments, and other digital activity.
Fingerprint suits teams that need persistent visitor identification across web and mobile to address fraud, bots, or AI agents. It also fits developers seeking APIs, SDKs, and integrations for security workflows.