IV-AEGIS

Invisible shield, Visible trust

AEShield is your invisible defense in the AI fraud era. We proactively arm your images against unauthorized AI scraping, deepfake synthesis, and identity theft.

Discover How It Works

Our Product - AEShield

Using adversarial example technology in reverse, we embed imperceptible perturbations that disrupt AI feature extraction, keeping your images safe and your visual experience intact. Unlike traditional defenses(watermark, blurring) which are easy to remove or passive AI detection engines, our product protects images proactively, making data inherently unreadable to malicious AI.

Human-Imperceptible

Adversarial perturbations are strategically embedded in target images, ensuring zero loss in visual quality for human observers.

AI-Ineffective

Embedded interference disrupts the feature extraction consistency of machine learning models,hence making it unreliable and unstable for AI models to process accurately.

Multi-Modal Protection

Simultaneously safeguards faces, digits, and text on images containing complex features like IDs, passports, licenses, etc.

Experience the Basic Process of AEShield Protection

Upload your own images to see how AEShield creates human-imperceptible shields against AI misuse.

Try Our Product Demo

About Our Mission

We are a research-driven team founded on the principle of using AI's own strengths to create a more secure digital ecosystem.

Research indicates that approximately 22% of AI-generated faces are now convincing enough to fool human observers, and surveys show that 75% of the public is concerned about AI-driven scams. In a landscape where AI-generated fraud is growing exponentially, traditional defensive measures are reactive and insufficient. Our team of specialists in adversarial machine learning and computer vision has pioneered a proactive solution—turning a vulnerability into the ultimate shield.

Vision & Future

Our roadmap extends beyond static images. We are actively developing protection for video streams and audio data, and exploring applications in creative media, healthcare, and autonomous systems to set new standards for data provenance.

Meet the Minds Behind the Shield

Meet Our Team
Back to About Us

Our Team

Nathan Liao

Nathan Liao

CEO

Sets our strategic vision and leads the core research that redefines AI security, shifting the industry paradigm from detection to proactive control at the source.

Tiger Liu

Tiger Liu

CTO

Spearheads all technical development and innovation for the AEShield project, building its complete architecture and driving the core research that makes it work.

Dora Zhu

Dora Zhu

CFO

Architects our commercial foundation, enabling scalable deployment through a sustainable business model that integrates security seamlessly into platform operations.

Kaitlyn Xu

Kaitlyn Xu

CMO

Defines our market narrative, connecting deep technology to the urgent needs of platforms facing exploding deepfake fraud and identity leakage risks.

Back to Product

Try Our Product

Experience how AEShield protects your images. Upload your own and adjust parameters to see the effect.

Digital Protection Demo

Protect sensitive numbers (like IDs, credit cards) from OCR systems. Adjust perturbation strength to balance invisibility and protection.

Click or drag to upload an image containing numbers

Supports JPG, PNG formats. For best results, use images with clear text like IDs or documents.
0.01 0.20
1 50

Facial Protection Demo

Protect facial images from recognition and deepfake systems. Frequency-domain perturbations disrupt AI feature extraction.

Click or drag to upload a facial image

Supports JPG, PNG formats. Front-facing, well-lit photos work best.
0.1 0.8
Y Cr/Cb

Contact Us

Interested in integrating AEShield, partnering with us, or learning more? Reach out.