Core DisciplineDEFYRA Assurance
AI Security Validation & Assurance
Move beyond subjective evaluations. DEFYRA executes calibrated, authorized security tests to mathematically prove whether your AI systems remain bounded, isolated, and resilient under adversarial conditions.
RAG & Memory Validation
Retrieval-Augmented Generation (RAG) introduces massive unvalidated data streams into the LLM context. We validate:
- •Indirect Prompt Injection in retrieved web content, PDFs, and database chunks.
- •Cross-Tenant ACL Filtering Bypass in multi-tenant vector databases.
- •Persistent Semantic Memory Poisoning across agent conversation threads.
Tool Execution & API Authorization
When LLMs invoke code and APIs, standard security boundaries can break down. We test:
- •Sandbox Breakouts in Python REPL, Bash execution, and container wrappers.
- •SSRF Probing via web-fetching and scraper tools toward internal metadata.
- •Server-Side Capability Enforcement vs relying on LLM to obey instructions.
Continuous AI Security Assurance
Automated Regression Gates for Model & Prompt Updates
AI vulnerabilities often re-emerge whenever a model weight updates, system prompts change, or new tools are added. DEFYRA creates continuous validation gates ensuring every deployment is regression-tested against previously proven threat vectors.