Practical research at the intersection of AI safety, security, and content authenticity. We
build things that work, then share what we learn.
Research Focus
01
AI Safety & Alignment
We focus on the interface layer—how humans communicate intent to AI systems and how those systems can better preserve that intent. This is where misalignment often starts.
→Human-AI communication patterns
→Intent preservation across interactions
→Prompt injection and adversarial robustness
→Safe defaults for children and vulnerable users
02
AI-Powered Security
Developing intelligent security systems that leverage machine learning for threat detection, monitoring, and response.
→Intelligent surveillance systems
→Automated threat detection
→Physical-digital security integration
03
Content Verification
Building tools and techniques to authenticate digital content and detect AI-generated or manipulated media.
→AI content detection
→Digital provenance
→Authentication systems
Active Projects
01
Child AI Safety Platform
In Development
Developing protective AI systems designed specifically for children's interactions with AI technology.
02
Prompt Injection Detection
Ongoing Research
Research into detecting and preventing adversarial attacks on language models through prompt manipulation.
03
AI Content Fingerprinting
Collaborative Project
Techniques for identifying and verifying the source and authenticity of AI-generated content.
Interested in Our Research?
We're always open to discussing our work and exploring collaboration opportunities.