Remote / USA

Gavin Black, PhD

Principal research scientist and solutions architect focused on AI/ML security, agentic systems, fuzzing, and model hardening.

LLM Security Agentic Systems Fuzzing Model Hardening
17+
Years Experience
Active
Clearances
5+
1st‑Author Pubs
700+★
iMAS Stars
  • LLM code security, prompt‑injection mitigation, and secure code generation
  • Resource‑aware fuzzing (RUFF) and model‑hardening research
  • Agentic AI for red/blue ops; RAG security & evaluation
  • Led cross‑functional teams delivering prototypes in AF/AWS environments
Gavin Black Outline
Selected Work

Open-source systems with security depth.

Projects spanning mobile application security, LLM evaluation, and early computational art experiments.

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Encrypted Core Data (MITRE iMAS)

Core Data store with full‑database encryption via SQLCipher; 700+ stars and 200+ forks.

Objective‑CSQLCipheriOSSecurity
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securePrompts (DSU)

Evaluation harness and secure prompting patterns for commercial LLMs; analyzes code correctness & risks.

PythonLLM SecurityEvaluation
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wolframAutomata (Undergrad)

Wolfram‑style cellular automata that adapt rulesets to music FFTs; a playful, early exploration.

JavaCreative Coding
Research

Publications and applied security research.

Focused on code generation security, fuzzing, dataset augmentation, and robust evaluation of ML systems.

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LLM-Driven Seed Generation

IEEE Access (2025)

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Security Dataset Augmentation: Invariance & Distribution Independence

ICNC 2024

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RUFF: Resource Usage Fuzzing Framework

PhD Dissertation (2024)

Let’s connect

Open to collaborations, speaking, and research partnerships.

Highlights
  • Agentic AI & LLM Security
  • Fuzzing & RL‑driven testing
  • RAG security evaluations