Real Life Examples of Cybersecurity with Neo4j
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The document discusses graph databases as a solution for cybersecurity challenges. It presents real-life examples of how graph databases can be used by law enforcement to connect suspect data and by banks to detect fraud rings. The document concludes by demonstrating how a company's IT infrastructure and employees could be modeled as a graph to help with cybersecurity monitoring.
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Real Life Examples of Cybersecurity with Neo4j
- 1. Real Life Examples of Graph Cybersecurity Gal Bello Field Engineer, Neo4j
- 2. Agenda ❏ Hello! ❏ Cyber Security ❏ The Problem, Solution ❏ Numbers ❏ Graph Data Model for CS ❏ Real Life Example ❏ Q&A ❏ Goodbye! 2
- 3. 01 Gal Bello Neo4j Field Engineer, Israel @gal_bello Linkedin.com/in/galbello/ 3 What’s the thing you like most about Neo4j? “Neo4j is not just only one of the most innovative companies around the globe, it also leads a positive cultural approach to its employees, customers, partners and community members: Diversity & inclusion, open minded, acceptance & positiveness assumption.”
- 6. “Cybersecurity is the practice of defending computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks.” What is Cybersecurity? Cyber Security Cyber Security
- 7. 01 Around is expected to be spent on CS by 2021 $6T
- 8. 01 Every seconds there is a hacker attack 39
- 9. 01 of malware is delivered using email 92%
- 10. 01 of Cyber attacks target Enterprise companies 57%
- 11. 01 experienced phishing & social engineering attacks 62%
- 12. What is the Problem?
- 13. Cybersecurity analysts have to capture, store, analyze and potentially share vast amounts of rapidly evolving information. The Problem:
- 14. Cybersecurity analysts have to capture, store, analyze and potentially share vast amounts of rapidly evolving information. The Problem:
- 15. Cybersecurity analysts have to capture, store, analyze and potentially share vast amounts of rapidly evolving information. The Problem:
- 16. Cybersecurity analysts have to capture, store, analyze and potentially share vast amounts of rapidly evolving information. The Problem:
- 17. Cybersecurity analysts have to capture, store, analyze and potentially share vast amounts of rapidly evolving information. The Problem:
- 18. Graph Database could assist them secure their data, by leveraging connections in data. The Solution:
- 19. Graph Database could assist them secure their data, by leveraging connections in data. The Solution:
- 21. Law Enforcement Use Case: Information and Data Synchronization in Law Enforcement Law Enforcement Agencies use Neo4j to model the information into graphs to improve efficiency and make direct and implicit patterns readily apparent in real time. A suspect often appears in several different databases Financial records Convictions Adresses Vehicles Traffic cameras Arrests Police Reports Appears_in Has H a s H a s Owns Registered SUSPECT Has
- 22. 01 ACCOUNT HOLDER 2 ACCOUNT HOLDER 1 ACCOUNT HOLDER 3 CREDIT CARD BANK ACCOUNT BANK ACCOUNT BANK ACCOUNT ADDRESS PHONE NUMBER PHONE NUMBER SSN 2 UNSECURED LOAN SSN 2 UNSECURED LOAN Banking Use Case: Modeling Fraud Rings as Graphs Organizing a fraud ring in the real world is relatively simple. A group of people share their personal information to create synthetic identities. For example with just 2 individuals sharing names and social security numbers can create 4 different identities. This can be discovered with connected analysis.
- 23. 01 01 Government • Better Services • More Consistency • Saves Time • Coordinates Efforts MARRIED_TO L I V E S _ A T LIVES_AT FATHER_OF ENROLLED_IN OWNS OWNS ID# PHONE EMAIL H A S HAS HAS MOTHER_OF ID# PHONE EMAIL
- 24. Building a Real Life Graph Data Model
- 25. 01 Employee A Employee B Employee C Employee D Employee Z DEPARTMENT 100
- 26. 01 Employee A Employee B Employee C Employee D Employee Z DEPARTMENT 100 BANK ACCOUNT ADDRESS
- 27. 01 Employee A Employee B Employee C Employee D Employee Z DEPARTMENT 100 BANK ACCOUNT ADDRESS PROJECT A PROJECT B PROJECT C DEPARTMENT 200 DEPARTMENT 300
- 28. 01 Employee A Employee B Employee C Employee D Employee Z Department 100 Bank Account Address Project C Documents Documents
- 29. 01 Employee A Employee B Employee C Employee D Employee Z Department 100 Bank Account Address Project C Documents Documents PRODUCTION SERVERS
- 30. 01 Employee A Employee B Employee C Employee D Employee Z Department 100 Bank Account Address Project C Documents Documents PRODUCTION SERVERS :PUBLISHED_ON :SAVED_ON :WORKS_AT :MANAGES
- 31. Cybersecurity 01 Employee A Employee B Employee C Employee D Employee Z Department 100 Bank Account Address Project C Documents Documents PRODUCTION SERVERS :PUBLISHED_ON :SAVED_ON :WORKS_AT :MANAGES PHISHING EMAILS Hacker
- 32. 01 Employee Z HACKER PROJECT A DEPARTMENT 22 BANK ACCOUNT ADDRESS DOCUMENTS PRODUCTION SERVERS Cybersecurity PHISHING EMAIL PHISHING EMAIL PUBLISHED ON Employee A Employee B Employee C DEPARTMENT 4 PROJECT B PROJECT C
- 33. Recommendations ❏ Try It: Neo4j.com/download/ ❏ Learn It: Neo4j.com/graphacademy/ ❏ Join Us: neo4j-users.slack.com ❏ Contact Us: Neo4j.com/contact-us/ ENJOY IT! 33
- 35. Thank you! Gal Bello Field Engineer, Neo4j