GraphIDE
Autonomous, Verifiable AI Security for Modern Software. Closing the AI "Vibe Coding" Credibility Gap by merging the reasoning power of LLMs with the absolute precision of Graph-Based Code Property Graphs.
GraphIDE In Action
A quick visual tour of the detection, triage, and remediation flow inside the extension.
Deterministic analysis logs and vulnerability details stay visible beside active code context.
The Hybrid Architecture
We bypass the limitations of generic LLMs by grounding every security claim in a physical Graph Slicing model. No hallucinations, only verifiable logic.
Static Layer
Code Property Graph generation via Joern. Every function, variable, and data flow is mapped into a traversable graph structure.
Query Generation
LoRA-optimized Cypher queries generated specifically for the target codebase's vulnerability patterns.
Joern Slicing
Deterministic sub-graphing that isolates only the relevant code paths, reducing noise by 95%.
Gemini Reasoning
Google Gemini Pro validates findings against the code context, generating human-readable remediation plans.
8-Phase Neural Pipeline
Repo Access
OAuth & SSH Secure Ingress
Joern Layer
CPG Generation (L0)
Rule Slicing
Deterministic Sub-graphing
Query Gen
LORA-Optimized Cypher
Sigma.js
High-fidelity Node Traversal
Vuln Slice
Context Extraction for LLM
Remediation
Verified Patch Suggestions
Deployment
Git Commit & Push (Verified)
Future Node Expansion
AST-Validated Agents
Self-healing patch deployments with full AST compatibility checks.
Multi-Language Support
Go, Rust, and Carbon support arriving in Q4.