Arkose Labs Fraud and Abuse Prevention is a cloud platform for assessing risk and responding to malicious activity across sign-up, sign-in, payments, SMS or OTP verification, and in-platform activity. Its Arkose Titan offering combines risk assessment with adaptive enforcement against bots, AI agents, and human fraud networks. Listed targets include fake account creation, SMS toll fraud, account takeover, credential stuffing, payment and loyalty fraud, and scraping. Customers can choose responses from silent pass-through and step-up checks to adaptive challenges, hard enforcement, and blocking. Arkose describes identifying AI agents through API patterns, behavioral analysis, and proof-of-work validation, including agents that do not self-identify. Challenge options include LLM-resistant and multimodal reasoning tasks. Integrations include open APIs, CDN deployments, SIEM and SOAR tools such as Splunk, Sumo Logic, and Microsoft Azure Sentinel, IAM providers including Okta, Ping, and Microsoft, and analytics tools. Arkose lists website, iOS, Android, and server-side API setup paths. It says onboarding may take only a few days and offers integration assistance. Pricing is on request.
Who it is for
Arkose positions Titan for enterprises across sectors including banking, fintech, gaming, travel, retail, social media, sharing economy, and telecommunications. It may suit organizations seeking adaptive controls across multiple user and transaction channels.
What is good
- Covers sign-up, sign-in, payments, and in-platform activity.
- Offers configurable enforcement from checks to blocking.
- Describes detection of AI agents, including unidentified ones.
- Integrates with APIs, SIEM/SOAR, IAM, and analytics tools.
- Lists a $1 million warranty for specified losses.
What to know first
- Pricing is available on request.
- SOC reports are available under NDA.
- Listed warranties apply to specified attack categories.
Verdict
Arkose Titan combines risk assessment with adjustable responses across several fraud and abuse scenarios. Prospective customers should confirm how its listed integrations and warranty terms apply to their use cases.
Compared on fraud detection software
- Deployment
- cloud
- Decisioning speed
- real_time
- Machine learning
- Yes
- Case management
- Yes
- Coverage channels
- sign-up, sign-in, payment, SMS/OTP verification, and in-platform activity
