Anybrain

Anybrain is an AI anti-cheat and anti-fraud service for game developers and publishers that need behavior-based evidence across live games. It suits studios that want SDK and server-side deployment without kernel-level access, especially when fraud decisions remain with an internal review team. The main trade-off is custom pricing and the operational responsibility of deciding what action follows an alert.

Overview

Founded in 2015 and headquartered in Braga, Portugal, Anybrain analyzes player interactions with machine-learning models and patented human-computer-interaction algorithms. Its cloud service is designed to adapt to different gaming scenarios rather than rely on invasive client access. Anybrain reports analysis of more than 60 million unique players across over 120 games and processing of 7.6 million fraud events.

Studios can review live monitoring, reports and player insights in a web dashboard. Webhook notifications can send fraud alerts to a system of the studio’s choice, which makes the product more suitable for teams with an existing moderation or security workflow than for teams seeking a completely automatic enforcement service.

Key features

Behavior-based detection: The models examine player behavior and can identify aimbots, AI-based cheats, pixel-bots and DMA cheats. That coverage addresses several modern attack types, although the studio must still interpret each result in its own game context.

SDK and inference API: A lightweight SDK can be embedded in a game, or the studio can send player inputs to Anybrain through an inference API. The two routes accommodate different technical architectures: the SDK provides an in-game integration path, while server-side inference can suit teams that prefer not to deploy a client component.

Evidence for review: Explainable detections include player data, visual evidence and a probability score. This gives reviewers more than a binary flag and can help document why an account was escalated.

Real-time operations: The dashboard supplies live fraud monitoring, reports and player insights, and webhooks can forward alerts into another system. These features are useful when investigations and response need to happen alongside existing tools.

Studio-controlled enforcement: Anybrain does not ban players itself. The product supplies signals and investigation material, leaving ban decisions to the customer; its team can provide deeper investigations and explanations for extreme ban appeals.

Non-invasive design: Anybrain says it operates without kernel-level or other invasive access. It also claims detection above 99% with minimal game-performance impact. Those are meaningful goals for studios concerned about client trust and overhead, but they remain claims to evaluate against a particular title’s requirements.

Pricing

Anybrain uses paid, custom pricing, with pricing supplied on request. That makes it a natural fit for developers and publishers prepared to discuss scale, integration and support needs directly, but it prevents a small team from budgeting from a published rate card. There is no stated free plan, trial term, seat allowance or usage quota. Studios should clarify those commercial terms before committing, particularly if they need to estimate costs across multiple games or large player populations.

Platforms

Anybrain is delivered as a cloud service and supports Android, iOS, macOS, Windows and web environments, with an API for server-side integration. It is cross-platform, supports multiple game engines, and offers both a developer SDK and server-side detection. The absence of a kernel-level client can simplify deployment where invasive anti-cheat software is unacceptable.

Who it's for

Anybrain is aimed at game developers and publishers seeking anti-cheat and anti-fraud protection with a reviewable evidence trail. It is particularly well matched to studios that want to combine an SDK or API with their own moderation decisions, route alerts into internal systems, and support difficult appeals with additional investigation. It is less suitable for a buyer that requires automatic bans, transparent self-serve pricing, or a simple consumer-facing package with no security workflow to operate.

Pros and cons

Pros

Two integration models: SDK and inference API options let teams choose between in-game and server-side collection.

Broad stated cheat coverage: Aimbots, AI-based, pixel-bot and DMA cheats are all within the product’s claimed scope.

Reviewable detections: Player data, visual evidence and probability scores support investigations and appeals.

Non-kernel approach: Avoiding kernel-level access can reduce invasiveness and deployment concerns.

Cons

Custom pricing: Buyers cannot compare a published plan or calculate costs without contacting Anybrain.

Enforcement remains internal: Studios must supply the ban policy, review process and final action.

Performance and accuracy are claims: The above-99% detection rate and minimal-impact statement need to be assessed for each game.

Alternatives

Browse the Game Anti-Cheat Software category for a wider comparison. Choose Easy Anti-Cheat if a freemium option with a free plan and broad desktop, mobile and web platform coverage is more important than custom enterprise terms. Epic Online Services suits studios seeking free-to-use anti-cheat-related services with no royalty or hosting fees, subject to service restrictions.

AGINUZ Anti-Cheat Infrastructure is worth considering when a freemium model and a protected free tier for single-player or offline games fit the project. GuardingPear Anti-Cheat is the alternative for buyers wanting a one-time paid Pro plan. RoSentry offers a free web-based tier for small games, capped at 100 concurrent players and one active game.

Byteria Game Anti-Cheat, OZeroSecurity Anti-Cheat SDK and BattlEye are other paid anti-cheat options; each should be assessed against the project’s required platforms, deployment model and budget.

Verdict

Choose Anybrain when a game studio wants cross-platform behavior detection, flexible SDK or API integration, and evidence that supports human review without a kernel-level client. Look elsewhere if you need published pricing, automatic enforcement, or a fully managed ban system; Anybrain’s value depends on the studio’s ability to operate the review and decision process around its alerts.