Gaming Giant
15x
Reduction in fraud for a gaming giant, saving the company millions.
Read the Case Study →When attackers target your sign-in workflows, they're betting you can't tell them from real consumers. Arkose Titan makes that bet unprofitable — stopping credential stuffing, malicious AI agents and every ATO variant in between before unauthorized access occurs, while real customers and trusted AI agents sign in without friction.
AI agents are changing account takeover. Where legacy bots followed predictable patterns, malicious agents mimic human behavior, solve traditional challenges and rotate infrastructure to evade detection, while other agents sign in on behalf of real customers.
The 2026 Agentic AI Security Report finds 97% of enterprise leaders expect a material AI-driven incident within 12 months, yet 72% question whether their defenses will scale as AI-driven attacks continue to evolve. Telling a trusted agent from a malicious one — and deciding what each is allowed to do — is now part of protecting every sign-in.
Agents now pass the identity checks built for humans.
Consumers hand their agents every login factor: the password, the one-time codes, the inbox they arrive in, the saved card. The agent logs in as the customer. Password, MFA and step-up all pass. Device trust misreads it: new hardware, new IP, new geography looks like a takeover when it is the customer's own agent.
MFA proves someone had the factors. It no longer proves a human was there.
An agent holds the customer's credentials for every service it manages. Compromise the agent and every linked login falls with it.
Attack traffic now exits through the same residential pools as legitimate agents, with replayed biometrics that look human. IP reputation and behavior alone no longer separate them.
A customer's own agent on a cloud machine trips every device-trust rule you have. Blocking it is a locked-out customer who doesn't know why.
Detect the agent, not the credential. Device, compute and network signals expose a cloud agent even when every credential is valid. Agent ID recognizes a returning agent instead of reading it as a takeover. Score login, money movement and credential changes separately, and block every agent at the steps that matter.
Arkose Titan combines real-time detection with adaptive mitigation, forcing attackers to waste resources while legitimate consumers and trusted agents sign in without friction.
Real consumers sign in without friction, and you set the rules for which AI agents can access accounts on their behalf.
Nearly 1,000 detection signals identify suspicious sign-in attempts, recognizing AI agents and bots by their behavior even when they don't identify themselves.
Proof-of-Work validation and LLM-resistant challenges force attackers to burn through costly resources on every attempt, with difficulty scaling based on risk to keep friction minimal for legitimate consumers.
True/false API results and rich session data allow for immediate action as attack patterns evolve, meaning defenses keep pace with attacker innovation.
Arkose Labs has proved to be a long-term deterrent to fraudsters attacking our website, allowing us to stamp out account takeover attacks and keep our customers protected.
Account takeover fraud occurs when someone gains unauthorized access to a legitimate user's account, often to drain funds, make purchases or steal personal information.
Credential stuffing is one of the most common ways account takeover happens: attackers test stolen username-password pairs from past data breaches until they find matches that unlock real accounts.
Arkose Titan analyzes signals such as device, behavioral and credential-risk data at sign-in, then routes suspicious sessions to adaptive challenges and invisible Proof-of-Work, stopping unauthorized access before an account is compromised.
The strongest solutions combine signals such as device, behavioral and credential data with real-time adaptive enforcement rather than a single static check.
Yes. Attackers can use AI agents to test stolen credentials and mimic real sign-in behavior at scale, while other agents sign in on behalf of real customers. Arkose Titan identifies AI agents at sign-in so you can decide which to allow and which to block.
Passing the password and MFA no longer proves a human is there, because customers hand their agents every login factor. Arkose Titan looks past the credential: device, compute and network signals expose a cloud agent even when every credential is valid, and Agent ID recognizes a returning agent instead of reading new hardware or a new location as a takeover. You can then score login, money movement and credential changes separately and block agents at the steps that matter.
Defend against credential stuffing, malicious AI agents and other ATO attacks across every authentication workflow.
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