Security & AI Researchfor Modern Systems
Twenty Eight Labs explores emerging attack surfaces across applications, infrastructure, and AI-powered systems.
AI SecurityLLM TestingAppSec
Research Focus
- • AI misuse & adversarial workflows
- • LLM threat modeling
- • Modern application attack paths
- • Security engineering for AI systems
Focus Area
AI Security & LLM Threat Modeling
Approach
Research-driven, exploit-focused, real-world systems
Status
Independent · Ongoing Research
Areas of Focus
AI & LLM Security
Prompt injection, model misuse, insecure AI workflows, and real-world exploitation paths in AI systems.
Advanced Application Security
Deep testing of modern web, API, and cloud-native applications with a focus on exploitability.
Tooling & Frameworks
Building internal tools and research frameworks to analyze new classes of vulnerabilities.
Security Engineering
Helping teams design and validate secure architectures for AI-enabled products.