SentryGraph AI unifies code ASTs, organizational topology, and persistent memory in a FalkorDB graph to power a multi-agent swarm that cuts zero-day resolution time from days to seconds, delivering a 39.7x speedup.

The demo package includes a judges’ UI, an exploit simulator, SPDX SBOM generation, and transparent access to a live FalkorDB Cloud instance for verification.

Production-ready openCypher queries demonstrate reachability, attack routes, blast radius, memory recall, and on-call governance checks with millisecond latency.

One-click ingestion (ingest_new_data) expands topology, highlights cross-service impact, and updates ownership and ADR bindings (e.g., ADR-007) as data arrives.

The architecture shifts from vector RAG to FalkorDB Graph RAG, emphasizing deterministic path traversal, exact line-level reachability, and persistent multi-session memory.

FalkorDB Cloud operates with three interconnected tracks: Track 01 Connected Data (code AST & lineage), Track 02 Tri-Tier Agent Memory (multi-session learning), Track 03 Company Brain (governance and on-call ownership), built around 10 core node types and associated attributes including Vulnerability, Dependency, SourceFile, Function, PublicEndpoint, Developer, Team, DecisionRecord, EpisodicIncident, and ProceduralPatch.

Engineering emphasizes zero-hallucination AST extraction via a native Python AST visitor, a RAM-efficient deployment feasible on 4GB RAM laptops, and cloud-based graph computations to minimize local resource use.

Empirical benchmarks show a 39.7x overall speedup in incident resolution when comparing cold and warm runs, with details on lineages, patch synthesis time, pytest sandbox results, memory usage, and latency.

An agent swarm of seven agents operates under a Model Context Protocol (MCP), using deterministic openCypher queries for multi-hop reachability, shortest attack vector, blast radius, episodic memory recall, and governance lookups.

The article argues that enterprise security requires a graph-native, topological approach, and that FalkorDB Graph Memory enables autonomous triage of zero-days beyond traditional vector-based methods.