Cyber threats hide in the relationships between systems, accounts, and behaviors. Memgraph lets threat analysts traverse those connections in real time to identify patterns, trace sources, and find vulnerabilities before attackers exploit them.
A single login attempt, a single API call, a single file access looks normal. The threat only appears when you connect the dots: the same user, the same IP, the same behavior repeated across systems over time.
Modern attacks move laterally through systems, using legitimate credentials and trusted pathways. Finding the origin means following a chain of connections that can span dozens of nodes and multiple hops.
A vulnerability in one library can propagate through every system that depends on it. Without a graph of your software dependencies, the blast radius of any exposure is impossible to calculate quickly.
Three capabilities that change how threat detection works.
Analyzing suspicious behavior across your network lets you predict similar actions with accuracy. Graph databases surface the relational patterns that signature-based systems miss, enabling proactive defense instead of reactive response.
From a security incident, Memgraph lets you traverse backwards through pathways and connections to find the source. Understanding how an attack entered and moved through your systems lets you block future attempts at the root.
Model your software architecture as a graph to map dependency chains and identify which vulnerabilities affect which systems. Prioritize upgrades based on actual exposure, not guesswork.
Learn how Saporo uses Memgraph to quickly and effectively anticipate and mitigate cyber threats using real-time data analysis and performance.Read story
Built for real-time, write-heavy security workloads.
Traditional AI and security tools fall short because they lack relational context. GraphRAG combines large language models with graph-based retrieval to deliver the dimension that makes AI-powered security actually work.
