Solutions

Content Generation & Moderation

Create and moderate multimedia without unleashing deepfakes, copyright baggage, or surprise policy misses.

Studios and trust & safety teams now depend on diffusion models and multimodal classifiers. One rogue deepfake, Getty watermark, or missed extremist meme can cost distribution deals, sponsorships, and regulator trust.

Typical deployments

Brand teams spinning up spokespeople, AR loops, or hero imagery from curated prompt packs and asset libraries.
Streaming platforms muting policy violations, blurring disallowed scenes, and queuing human review before a clip goes live.
Marketplaces and UGC communities triaging millions of uploads for CSAM, gore, or extremist propaganda before publishing.

Incidents we prevent

Field report

Deepfake campaigns and harassment

A viral deepfake depicted Martin Luther King Jr. endorsing a candidate, one in six congresswomen report non-consensual AI porn, and scammers cloned CEO voices to steal $243k—all eroding trust in synthetic media.

The Hill The Markup Forbes

Field report

Copyright ghosts in AI output

Getty sued Stability AI after its watermark reappeared in generations, and newspapers ran AI-generated reading lists full of made-up books and author bios, forcing retractions.

Reuters Philadelphia Inquirer

Field report

Unmoderated glitches went viral

Snapchat's My AI posted a random Story before freezing, and Brave researchers showed that hidden text in images could hijack Perplexity's Comet browser—demonstrating how fast visual exploits or bugs become memes.

TechCrunch Brave

How General Analysis helps

General Analysis

AI Security Asset Management

Scan training sets, prompt templates, and RAG indexes for poisoned instructions, PII, or unlicensed work so generators never learn from material they cannot legally output.

General Analysis

AI Runtime Protection & Observability

Enforce style guardrails, watermark/NSFW/extremist detectors, and human review gates for sensitive prompts or live streams while logging provenance metadata.

Playbook highlights

Locks generators to approved templates, subject matter, and invisible watermarks so off-policy prompts or undisclosed AI media are blocked before rendering.
AI Security Asset Management maintains blacklists of artists, trademarks, and sensitive datasets; similarity scanning catches Getty-style regurgitation or deepfake attempts.
Dual-model moderation reviews every frame for nudity, violence, extremism, and bias, routing borderline assets to human moderators with explainability notes.
Prompt and usage analytics flag repeated jailbreak attempts, throttle abusive accounts, and feed new adversarial examples back into filters for continuous hardening.

FAQ

Runtime guardrails apply brand palettes, composition limits, and banned themes at prompt time, plus post-render filters. High-impact creatives can require dual human approvals before publishing.

Asset Management blocks ingestion of real-person biometrics without consent, and runtime detectors automatically blur faces, license plates, or offices unless authorized.

Observability chains multiple detectors (audio, video, metadata, adversarial tests like Brave's Comet attack) so manipulated assets are quarantined before they spread.

Observability stores prompts, sources, reviewer notes, disclosures, and takedown history so you can answer rights inquiries or appeals with a single export.

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