
Application Security
Arkose Titan
Stops malicious bots, AI agents, and fraud farms while letting verified good agents through.
Arkose Titan Overview
What it does
Arkose Titan is a Bot Management platform that classifies every visitor, whether human, automated bot, or delegated AI agent, and enforces a graduated response based on session risk. Its distinguishing mechanism scores intent rather than automation alone, so the same agent fingerprint can be allowed, monitored, or blocked depending on behavior. Detection draws on more than 225 risk signals and the Arkose Global Intelligence Network to separate genuine customers from credential-stuffing bots, fraud farms, and malicious automation.
How it works
The platform combines behavioral and device signals with a global intelligence network to score sessions in real time, then applies adaptive challenges that change dynamically to defeat automated solvers while passing genuine users. Named modules include Bot Manager and Agent Trust Manager, which sorts AI agents into self-disclosing good, non-disclosing good, or adversary categories and re-classifies them continuously as behavior drifts. Arkose Edge adds server-side protection at the content delivery network (CDN) edge for APIs, and Scraping Protection defends pricing data and content against unauthorized large language model (LLM) data harvesting. Findings surface through dashboards and reporting integrations.
Credentials and traction
ISO/IEC 27001, ISO 27018, and ISO 27701 certified, with a SOC 2 Type II report audited annually by an independent third party and available under NDA. Named a Strong Performer in The Forrester Wave: Bot And Agent Trust Management Software (Q2 2026). Arkose Titan protects large business-to-consumer (B2C) and Fortune 500 platforms, including Adobe, Microsoft, Roblox, and Sony, across banking, gaming, travel, e-commerce, and technology.
Key Capabilities
mapped to solution categoriesProtects account creation, login, and session flows against credential stuffing, account takeover, and fake-account abuse, building per-account trust from user, device, and session signals.
Establishes and manages trusted relationships with legitimate AI agents: an out-of-the-box library of known agents plus granular per-agent permissions and policies governing what each agent may access and do.
Detects automation through layered client-side and server-side detection models - behavioral, device, network, and challenge signals - resilient to AI-driven evasion and CAPTCHA-solving services.
Determines and surfaces the intent behind automated traffic - distinguishing malicious bots, benign automation, LLM crawlers, and human-delegated AI agents - so policy decisions rest on what the traffic is trying to do, not only whether it is automated.
Detects and governs content scraping, including LLM training and retrieval crawlers: blocking value-damaging scrapers while permitting or monetizing sanctioned automated access.
Explains why traffic was classified as bot, agent, or human in human-readable terms (reason codes, telltales, AI-generated detection summaries) so customers can audit and tune decisions.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on August 2, 2026
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