BNGuard
Agentic AI content moderation
BNGuard evaluates media and copy together with the brief, brand guidelines, and restricted topics, then returns a unified assessment reviewers and creators can act on. One agent. Complete content analysis. Actionable results.
What it is
Multimodal AI that reasons like your best reviewer
One agent, one verdict
A single agentic AI evaluates every dimension of content in one pass: visuals, audio, text, brand guidelines, and restricted topics. No fragmented tools or handoffs.
Multimodal reasoning
Images, video frames, audio tracks, on-screen text, and captions are analyzed together, not in isolation. Context that spans modalities is never missed.
Actionable output
Every assessment includes a clear verdict, evidence-based rationale, and specific suggested edits that creators can act on immediately.
The process
How BNGuard works
Inputs
Agentic BNGuard
Multimodal AI agent reasons across every input simultaneously
Returns
The shift
From fragmented checks to unified intelligence
Before: Separate systems
Each system evaluated disconnected signals, blind to the others. Risks that spanned modalities were invisible.
With BNGuard: One connected assessment
A single agent reasons across every input and returns one connected assessment with actionable next steps.
Example: Video review
Catching what humans miss in a 16-second montage
The content
A coffee-retail “Day in my life” video. 16-second opening-shift montage submitted for a branded campaign.
BNGuard remediation for creator
Issues were spread across the timeline and spanned visual, operational, and creative-brief dimensions. BNGuard surfaced all four in a single pass.
Example: Background risk detection
Finding what traditional moderation cannot see
The content
A fast, heavily edited retail video featuring mannequins and summer fashion. Cannabis-adjacent packaging visible on shelves from approximately 0:03 through 0:57, including marijuana-leaf graphics and slogans like “HIGH LIFE” and “HUSTLE LIKE A BOSS.”
Why traditional moderation missed it
BNGuard read the whole scene
Traditional moderation checks captions and prominent subjects. BNGuard analyzed every frame, detected the background packaging across the full duration, and flagged the cannabis-adjacent content that was incidental, fast-moving, and invisible to keyword and caption-based systems.
Capabilities
What BNGuard can do
Brand safety and campaign fit in one pass
No separate tools or handoffs. BNGuard evaluates compliance and creative alignment simultaneously, returning a single verdict.
Multimodal understanding
Images, video, audio, and text analyzed together. The agent reasons across modalities the way a human reviewer would, but at scale.
Client-specific rules and restricted topics
Every brand has different requirements. BNGuard loads your rules, restricted topics, and revision history into every evaluation.
Background detection
Objects, packaging, logos, and on-screen text in the background are identified even when they are incidental, fast-moving, or out of focus.
Timestamped findings
Video issues are pinpointed to specific moments so creators know exactly what to fix and where.
Transcription and translation
Spoken content is transcribed and translated from any language, ensuring nothing in the audio track is missed.
Music identification
Audio tracks are identified for licensing concerns before content goes live, preventing costly takedowns.
Revision analysis
When creators resubmit, BNGuard confirms whether requested changes were actually made, closing the feedback loop.
Powered by
Built on xAI's Grok
BNGuard is powered by xAI's Grok, a frontier multimodal model that reasons across video, images, audio, and text simultaneously. Grok's ability to evaluate an entire piece of content in context — not just individual signals in isolation — is what makes BNGuard's unified assessment possible.
AI platform agnostic
BNGuard is built on xAI's Grok by default, but our architecture is model-agnostic. We can integrate with any frontier AI provider upon request to meet your organization's security, compliance, or vendor requirements.
Why Grok for brand safety
Multimodal native
Processes video frames, audio, on-screen text, and captions in a single pass — no separate pipelines stitched together
Long-context reasoning
Evaluates full-length videos against detailed brand guidelines and campaign briefs without truncation
Nuanced judgment
Distinguishes between intentional content and incidental background elements that traditional systems miss
Speed at scale
Returns detailed assessments with timestamped findings fast enough to keep creator workflows moving
Part of a larger system
BNGuard is built into BN's Creator Platform
BNGuard powers the brand safety layer of BN's creator platform, the leading technology for employee advocacy and employee-generated content. Every piece of content created, reviewed, and published through the platform is protected by BNGuard automatically.
BNGuard is Brand Networks' agentic AI brand safety system for content moderation. It uses multimodal reasoning to evaluate media, copy, brand guidelines, and restricted topics in a single pass, returning a unified verdict with evidence-based rationale, timestamped video findings, transcription and translation, background object detection, music identification, and actionable suggested edits. BNGuard is built into BN's creator platform, the leading technology for employee advocacy and employee-generated content (EGC), and is trusted by Fortune 100 brands. Brand Networks was founded in 2007 and is headquartered in Rochester, NY, a subsidiary of Augeo.
Ready to see what your content really contains?
See how BNGuard catches what traditional moderation misses, from background risks to cross-modal compliance gaps.
Trusted by Fortune 100 brands • Multimodal AI • Agentic content moderation