A system for detecting content and behaviour generated or assisted by artificial intelligence. It analyses language patterns, repetitiveness, activity rate and context to identify bots, account farms and attempts to circumvent moderation. The solution learns from real incidents occurring in Discord communities.

Proprietary, closed databases used to correlate events, identify links between accounts, and analyse breach history. The data is used solely for security purposes and to continuously improve protection systems. Access to the databases is strictly controlled and limited to authorised processes.

A multi-layered protection mechanism that responds to abuse in real time. It combines automatic preventive actions with manual control, limiting the escalation of incidents before they become a threat to the community. The system operates according to clearly defined risk thresholds and response scenarios.

A set of current security solutions including activity monitoring, digital user footprint, fraud protection, and regular procedure updates. The systems are adapted to changing threats rather than maintained ‘once and for all.’ Each implementation is preceded by a risk analysis specific to the community in question.

Ongoing cooperation and communication with Discord teams regarding reporting violations, responding to incidents, and complying with applicable platform rules. This allows for quick action and reduces systemic risks. As a result, Compact's activities remain consistent with Discord's policies and tools.

Verification of user age using mobile devices, designed to restrict minors' access to inappropriate content. The process minimises interference with privacy while maintaining the effectiveness of age verification. The mechanism protects both users and community administrators.