
Hive
Enterprise-grade AI models for content moderation, media understanding, and generative AI detection.

Protect your content with forensic watermarking for provenance, leak protection, and deepfake security.

Steg.AI offers a comprehensive suite of forensic watermarking tools leveraging in-house trained deep learning models. The platform is designed to protect various media types, including videos, images, documents, and audio, from misuse. It provides both visible and imperceptible watermarks to trace leaks, protect against deepfakes, and verify content origin. Steg.AI's architecture supports integration via APIs, web applications, third-party integrations, and on-premise deployments, ensuring flexibility across different workflows. The core value proposition is to safeguard sensitive media, deter unauthorized sharing, and maintain content integrity. Use cases include copyright protection, provenance verification, and brand safety against generative AI manipulation. The platform's deep learning models are continuously refined to enhance watermark robustness and detection accuracy, offering a robust defense against evolving threats.
Steg.
Explore all tools that specialize in deepfake detection. This domain focus ensures Steg.AI delivers optimized results for this specific requirement.
Embeds imperceptible watermarks using deep learning models, allowing for discreet tracing of content leaks without affecting the user experience.
Detects and prevents deepfake manipulations by authenticating media and verifying its origin using cryptographic signatures.
Allows enterprises to define specific data retention periods to comply with regulatory requirements and internal governance policies.
Combines visible and forensic watermarks for enhanced protection. Visible watermarks deter casual misuse, while forensic watermarks enable precise leak tracing.
Provides the option to deploy Steg.AI solutions on-premise, ensuring data never leaves the secure location and meeting stringent security requirements.
Sign up for an account or choose an appropriate pricing plan.
Access the Steg.AI platform via the web application or integrate via the API.
Upload the digital content (image, video, document, audio) to be watermarked.
Configure watermarking parameters, selecting visible or forensic watermarks and specifying ownership details.
Deploy the watermarked content and monitor for potential leaks or unauthorized use.
Utilize Steg.AI's tracing capabilities to identify the source of any content leaks if detected.
For API users, follow the documentation to integrate watermarking into existing workflows.
All Set
Ready to go
Verified feedback from other users.
"Customers praise Steg.AI for its robust watermarking capabilities and ease of integration, citing improved content security and leak detection."
Post questions, share tips, and help other users.

Enterprise-grade AI models for content moderation, media understanding, and generative AI detection.

The swiss-army knife of digital forensics for debunking fake news and synthetic media.

Pindrop provides voice security and authentication solutions to detect fraud and protect against deepfakes in contact centers and meetings.

State-of-the-art synthetic media engine for high-fidelity face replacement and temporal consistency.
A large-scale dataset for real-world face forgery detection.
A large-scale challenging dataset for deepfake forensics.