// Research
A Framework for Rapidly Developing and Deploying Protection Against LLM Attacks Production-grade defense system integrating threat intelligence, data platforms, and rapid deployment for evolving LLM threats. 2025 arXiv →
LLM Cyber Evaluations Don't Capture Real-World Risk Position paper proposing a risk assessment framework that incorporates threat actor behavior and impact potential. 2025 arXiv →
Death by a Thousand Prompts: Open Model Vulnerability Analysis Security assessment of open-weight LLMs revealing 2-10× higher attack success in multi-turn scenarios. 2025 arXiv →
Vigil Detection system for prompt injections, jailbreaks, and other risky LLM inputs. Layered defense approach. Python GitHub →
Cascade Facilitates conversations between two LLMs with optional human-in-the-loop for alignment research. Python GitHub →
Qubit Minimalist blogging platform. Simple, fast, focused on writing. Python GitHub →
deadbits.org

adam m. swanda

Security Researcher
Focus Areas
  • AI safety & security
  • threat intelligence
  • detection engineering
  • malware analysis
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