Jennifer Reif
Cyber Sleuth: Finding Hidden Connections in Cyber Data
#1about 6 minutes
Understanding the complexity of modern cybersecurity threats
Cybersecurity involves diverse domains and multi-step attack chains that require compiling data from multiple sources to prevent breaches.
#2about 6 minutes
Why attackers think in graphs, not lists
Attackers exploit interconnected pathways to hop between systems, while defenders often focus on static lists of permissions, creating a strategic disadvantage.
#3about 6 minutes
Modeling connected data with graph databases
Graph databases use nodes, relationships, and labels to create a holistic view of a network, making it easier to surface hidden connections.
#4about 6 minutes
Getting started with Neo4j and the Cypher query language
Learn how to load data into Neo4j using dump files or the APOC library and write basic `CREATE` and `MATCH` queries with the Cypher language.
#5about 7 minutes
Investigating a user's direct and indirect access
A live demo shows how to use Cypher to trace a user's access from direct machine permissions to multi-hop group memberships.
#6about 5 minutes
Visualizing threats with rule-based styling in Bloom
Use Neo4j Bloom to visually explore the graph with natural language queries and apply rule-based styling with algorithms like PageRank to highlight critical assets.
#7about 5 minutes
Analyzing the blast radius of a compromised account
Discover how to find the shortest attack path to a high-value target and visualize the full blast radius of a single compromised account.
#8about 3 minutes
Resources for learning more about Neo4j
Find resources to continue learning, including a GitHub repository with the dataset, Neo4j sandboxes, and the Graph Academy.
#9about 16 minutes
Q&A on graph databases for cybersecurity
The speaker answers audience questions about required skills, tracking malware, and integrating machine learning with graph databases for threat detection.
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Matching moments
01:43 MIN
Understanding graph databases and the Cypher query language
Putting the Graph In GraphQL With The Neo4j GraphQL Library
36:24 MIN
An introduction to graph analytics for software systems
Data Science on Software Data
09:27 MIN
Understanding the fundamentals of graph databases
Martin O'Hanlon - Make LLMs make sense with GraphRAG
05:11 MIN
Querying connected data with Cypher in Neo4j Browser
Putting the Graph In GraphQL With The Neo4j GraphQL Library
15:35 MIN
Modern cybersecurity challenges for developers
Cyber Security: Small, and Large!
24:17 MIN
Shifting security left with collaborative threat modeling
We adopted DevOps and are Cloud-native, Now What?
00:39 MIN
Introducing Neo4j as a graph database company
Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j
01:58 MIN
Cybersecurity is a foundational necessity not a passing trend
Decoding Trends: Strategies for Success in the Evolving Digital Domain
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