security · 1 min read
Content Filtering for User-Generated AI Inputs
AI features that accept user content invite abuse. Here is how Bhogar AI filters CSAM, violence, harassment and self-harm content at multiple layers.
BABhogar AI TeamProduct & Engineering
Any AI feature that accepts user content will be tested by abuse - accidentally and deliberately. Trust-and-safety controls are non-negotiable.
Why it matters
Filtering needs to cover multiple modalities (text, image, audio), multiple categories (CSAM, violence, self-harm, harassment) and multiple languages. Single-vendor coverage is rarely sufficient.
How Bhogar AI approaches it
Bhogar AI ships a layered T&S stack: vendor-provided modality filters, platform-managed category policies, and per-tenant override. CSAM and similar absolute prohibitions cannot be overridden.
- Multi-modal filtering (text, image, audio)
- Major category coverage (CSAM, violence, self-harm, harassment)
- Per-tenant policy with platform-floor enforcement
- Multilingual coverage
- Reporting and escalation hooks
What you get
Customer-facing AI surfaces ship with T&S coverage that meets app-store and major-platform policy requirements.