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Generative AI
Moderation Solution

As generative AI reshapes how content is created and distributed, platforms face unprecedented risks — from deepfake fraud and synthetic CSAM to election manipulation and regulatory liability. DeepCleer gives you the detection infrastructure to stay ahead.

The Threat Landscape Has Fundamentally Changed

Generative AI has lowered the cost of creating harmful, deceptive, or illegal content to nearly zero. US platforms are caught at the intersection of technical complexity, legal exposure, and public trust.

Deepfakes & Non-Consensual Imagery

AI-generated deepfake pornography — including NCII — is rapidly proliferating. The DEFIANCE Act (2024) expands federal civil liability for platforms that knowingly host non-consensual intimate imagery. State-level laws in California, Texas, and Virginia impose additional obligations.

DEFIANCE Act · SHIELD Act

AI-Generated CSAM

Synthetic child sexual abuse material is a federal crime under PROTECT Act and CIPA regardless of whether a real child was involved. The DOJ and NCMEC are actively pursuing enforcement. Platforms face criminal exposure for hosting or failing to detect AI-generated CSAM.

PROTECT Act · CIPA · NCMEC

Copyright & IP Liability in AI Outputs

The Copyright Office's 2024 guidance and ongoing litigation (e.g., Getty v. Stability AI) have created uncertainty around AI-generated content and IP rights. Platforms enabling AI content creation may face contributory liability exposure without proper provenance controls.

Copyright Act · DMCA

Three Modules. One Integrated Platform.

Purpose-built for the complexity of modern AIGC — deployed as a unified API or à la carte by capability.

AI-Generated Content Detection

Identify whether text, images, audio, or video was generated or manipulated by AI — with per-model attribution where possible. Goes beyond watermarks to use statistical and spectral analysis resilient to compression, re-encoding, and adversarial perturbation.

Text / LLM output
Images & Graphics
Voice & Audio
Video & Livestream

Real-Time Content Moderation

Policy-driven content classification across all modalities — hate speech, violence, misinformation, and platform-specific custom categories. Supports pre-publication screening and live-stream monitoring with sub-second latency, ensuring harmful AIGC is intercepted before it reaches users.

IP & Copyright Infringement Detection

Detect AI-generated content that infringes on copyrighted works — including style mimicry, near-duplicate generation, and brand asset reproduction. Designed to help platforms navigate emerging copyright liability exposure under US law, including DMCA obligations and ongoing litigation (e.g., Getty v. Stability AI).

Purpose-Built for Production Scale

Not a research demo. A hardened production system processing billions of content items annually.

Best-in-Class Accuracy

Trained on one of the largest proprietary datasets of AIGC-specific content globally — including the latest generation models (GPT-4o, Sora, Midjourney v6, DALL-E 3).

Real-Time at Any Scale

Cloud-native architecture handles elastic workloads — from a startup's 1,000 daily uploads to a major platform's 100M+ per day. Auto-scaling with SLA-backed uptime.

Continuously Updated Models

New AI generation models are tracked and added to detection within weeks of public release. You don't need to manage model updates — we do it automatically.

Simple, Flexible Integration

REST API with client libraries for Python, Node.js, Java, and Go. Webhooks, stream connectors, and pre-built integrations for major platforms and CMSs.

US Regulatory Expertise

Our policy and legal team works directly with trust & safety leads to interpret new regulations and translate them into platform-specific moderation policy configurations.

Enterprise-Grade Security

SOC 2 Type II certified. GDPR & CCPA compliant. Optional on-premise and private cloud deployment. Data residency in US regions. No content retention after processing.

Ready to Secure Your Platform?

Get a personalized demo with your content types and use cases