Introducing Cloakscreen: The Digital Veil Between Your Content and AI

Today marks a significant shift in how organizations protect their digital assets. We're launching Cloakscreen, a solution born from necessity: a direct response to the growing threat of unauthorized AI content extraction. Cloakscreen makes your critical content visible to human users while rendering it completely unreadable to AI vision systems.
A New Threat Landscape
The rapid advancement of AI vision models has created an urgent security challenge. These systems can now extract, process, and replicate virtually any digital content they can "see." For organizations that rely on the confidentiality and integrity of their digital assets, this represents a fundamental vulnerability that traditional security measures weren't designed to address.
This isn't theoretical. Educational institutions are seeing unprecedented levels of AI-assisted cheating through tools explicitly designed to circumvent assessment security. Financial firms are finding their reports analyzed by unauthorized AI systems. Healthcare providers are discovering patient data extracted by vision models. Software developers are having proprietary code captured through screenshots.
Closing the Vision Gap
Cloakscreen addresses a critical blind spot in digital security: what happens when content is legitimately displayed on screen. While access controls determine who can view content, they can't prevent AI systems from processing what's displayed.
Our approach is elegantly simple in concept yet sophisticated in execution. Cloakscreen creates content that exploits the fundamental differences between human and machine perception, allowing humans to read and interact normally while AI systems encounter only noise.
// 1. Import the library
import { Cloakscreen } from '@cloakscreen/shield';
// 2. Initialize with your API key
const shield = new Cloakscreen('YOUR_API_KEY_HERE');
// 3. Protect your content from AI
shield.protect('#your-content-selector', {
// Your protection configuration
...protectionOptions
});
Technically Sound, Practically Effective
Cloakscreen builds upon established principles in visual perception and digital display technology. By understanding how AI vision systems process and interpret visual information, we've developed techniques that specifically target their vulnerabilities without compromising human readability.
Our solution has been tested against the following major AI vision models:
- GPT-4 Vision
- Claude Vision
- Gemini Vision
- Other prominent systems
The results are definitive: content protected by Cloakscreen remains inaccessible to these systems while maintaining full functionality for human users.
Real Solutions for Real Problems
- Educational Institutions: Protect exam integrity while avoiding complex proctoring systems. Secure proprietary curriculum from unauthorized distribution.
- Financial Organizations: Shield confidential data from unauthorized AI analysis while adhering to regulations like GDPR and CCPA.
- Healthcare Providers: Secure patient information from AI-driven data extraction, supporting HIPAA compliance for on-screen content.
- Technology Companies: Safeguard source code, technical documentation, and IP displayed in presentations against visual AI capture.
Practical Implementation
We've designed Cloakscreen with practicality through these key implementation advantages:
- Minimal Integration: Easy setup with minimal code changes (often less than 10 lines).
- Zero Performance Overhead: Performance impact below 0.2% in most implementations.
- Cross-Platform Compatibility: Works effectively on all major browsers and mobile platforms.
- Enterprise-Ready Architecture: Designed for seamless scaling to organizations of any size.
The Beginning of Content Sovereignty
The introduction of Cloakscreen represents more than just a new product; it marks the beginning of a necessary movement toward content sovereignty in the age of AI. Organizations should have the right to determine not just who accesses their content, but what systems can process it.
In an era where tools like Interview Coder openly market themselves as AI cheating solutions for technical assessments, Cloakscreen stands as a critical countermeasure, ensuring that hiring platforms and educational institutions can maintain the integrity of their evaluation processes.
We invite forward-thinking organizations to join us in establishing this new standard of digital protection. See it work with your own content. Evaluate your current AI extraction vulnerabilities. Implement a customized protection strategy.
Moving Forward
As AI vision capabilities evolve, so will Cloakscreen. We're committed to staying ahead of emerging threats and providing organizations with effective protection for their digital assets.
The line has been drawn. With Cloakscreen, you decide what AI can and cannot see.
References & Acknowledgements
This work acknowledges the foundations laid by early explorations such as Mihai Parparita's 2012 work on screenshot-proof images, while advancing these concepts to address today's sophisticated AI challenges.