The document describes an agenda for a Neo4j GraphTalks event on identity and access management. The event will include an introduction to graph databases and Neo4j, a demo and experience report on identity and access management at an insurance company, and a session on new ways to succeed with identity and access management using graphs. There will also be a Q&A session.

1. Herzlich Willkommen!
Graphtalks
Identity & Access Management
1
bruno.ungermann@neo4j.com

2. Neo4j GraphTalks
Network & Application Management
• Einführung in Graphdatenbanken und Neo4j (9.30-10.00)
Bruno Ungermann
• Neue Herangehensweisen für Network und Application Mgt mit Graphen (10.00-11.00)
Stefan Kolmar
• Wie werden Graphdatenbank-Projekte mit Neo4j zum Erfolg? (11.00-11.30)
Stefan Kolmar
• Q&A
Objective

3. Neo4j GraphTalks
Identity & Access Management
• Frühstück & Networking
• Einführung in Graphdatenbanken und Neo4j
Bruno Ungermann, Neo4j
• Identity & Access-Management bei einem Versicherungsunternehmen
Demo und Erfahrungswerte
Fabian Broszat, CEO – muutto
• New ways to succeed with IAM with Graphs, Building intelligent solutions with Graphs
Kees Vegter, Neo4j
• Q&A (12 Uhr)

4. Complexity

5. Connectedness

6. Domain Model Logistics Process

7. Traditional Approach: Fixed Schema, Tables

8. Graph Model: Nodes & Relationships
Container
Load
USING ROUTE
Depart 2014-04-15
Arrive 2014-04-28
USING_CARRIER
Vessel
Physical
Container
Shipment Carrier
Emission
Class A
Shipment:
ID 256787
Carrier:
DHL
Route
10520km
Route:
823km
Fueling
Max Wgt
80
Type Gas
B
Town:
Tokyo
Town:
Hong
Kong
Town:
Hamburg
Container
LoadContainer
LoadContainer
Load
Parcel
Weight
15.5kg
Container
Load

9. Intuitiveness

10. Flexibility

11. Flexibility & Agility

12. “We found Neo4j to be literally thousands of times
faster than our prior MySQL solution, with queries
that require 10-100 times less code. Today, Neo4j
provides eBay with functionality that was previously
impossible.” - Volker Pacher, Senior Developer
“Minutes to milliseconds” performance
Queries up to 1000x faster than other tested database types
Speed

13. Graph Based Success

14. Neo4j - The Graph Company
500+
7/10
12/25
8/10
53K+
100+
250+
450+
Adoption
Top Retail Firms
Top Financial Firms
Top Software Vendors
Customers Partners
• Creator of the Neo4j Graph Platform
• ~250 employees
• HQ in Silicon Valley, other offices include
London, Munich, Paris and Malmö
(Sweden)
• $160M in funding from Morgan Stanley,
Fidelity, Sunstone, Conor, Creandum, and
Greenbridge Capital
• Over 10M+ downloads,
• 250+ enterprise subscription customers
with over half with >$1B in revenue
Ecosystem
Startups in program
Enterprise customers
Partners
Meet up members
Events per year
Industry’s Largest Dedicated Investment in Graphs

15. 15
• Record “Cyber Monday” sales
• About 35M daily transactions
• Each transaction is 3-22 hops
• Queries executed in 4ms or less
• Replaced IBM Websphere commerce
• 300M pricing operations per day
• 10x transaction throughput on half the
hardware compared to Oracle
• Replaced Oracle database
• Large postal service with over 500k
employees
• Neo4j routes 10M+ packages daily at peak,
with peaks of 5,000+ routing operations per
second.
Handling Large Graph Work Loads for Enterprises
Real-time promotion
recommendations
Marriott’s Real-time
Pricing Engine
Handling Package
Routing in Real-Time

16. Discrete Data
Minimally
connected data
Neo4j is designed for data relationships
Other NoSQL
Relational
DBMS
Neo4j Graph DB
Connected Data
Focused on
Data Relationships
Development Benefits
Easy model maintenance
Easy query
Deployment Benefits
Ultra high performance
Minimal resource usage
Use the Right Database for the Right Job

17. How Neo4j Fits — Common Architecture Patterns
From Disparate Silos
To Cross-Silo Connections
From Tabular Data
To Connected Data
From Data Lake Analytics
to Real-Time Operations

18. Graph
Transactions
Graph
Analytics
Data Integration
Development
& Admin
Analytics
Tooling
Drivers & APIs Discovery & Visualization
Developers
Admins
Applications Business Users
Data Analysts
Data Scientists

19. Neo4j Bloom Features
19
• Prompted Search
• Property Browser &
editor
• Category icons and
color scheme
• Pan, Zoom & Select

20. Kettle
20

21. 21
Common Graph Technology Use Cases
Network & IT
Operations
Application
Management
Meta Data
Management
Real-Time
Recommendations
Identity & Access Mgt.
Security
Knowledge
Management
Fraud Detection,
AML
Compliance, GDPR

22. 22
Hierarchical Directories (static, internal) & The Real World (complexity, speed)

23. 23
A Property Graph is very applicable to IAM

25. 25
Problem Statement from a Fortune 50 Customer
„Our IAM analysts are unable to accurately identify and manage security risks in an
acceptable timeframe using tools that rely on our existing Active Directory implementation“
Sample Questions:
• „How many accounts have „Local Admin“ access to a particular resource at a particular time?“
• „How can i define and determine which groups, acccounts and servers have the highest risk“
• „What is the most efficient way a assign access to a particular resource?“
• „How can i understand the impact of pruning groups from domains?“

26. 26
Person belongs to 1512 groups
Server has 159 local admin accounts
Group has local admin rights for 27239
servers
Nested Groups: 151 local admin accounts ...
Results based on a few hours of graph based analysis

27. Background
• Oslo-based telcom provider is #1 in Nordic
countries and #10 in world
• Online, mission-critical, self-serve system lets
users manage subscriptions and plans
• availability and responsiveness is critical to
customer satisfaction
Business Problem
• Logins took minutes to retrieve relational
access rights
• Massive joins across millions of plans,
customers, admins, groups
• Nightly batch production required 9 hours
and produced stale data
Solution and Benefits
• Shifted authentication from Sybase to Neo4j
• Moved resource graph to Neo4j
• Replaced batch process with real-time login
response measured in milliseconds that delivers
real-time data, not yesterday’s snapshot
• Mitigated customer retention risks
SUBSCRIBED_BY
CONTROLLED_BY
PART_OFUSER_ACCESS
Account
Customer
CustomerUser
Subscription

28. Background
• Top investment bank with $1+ trillion in assets
• Using a relational database and Gemfire to
manage employee permissions to research
document and application-service resources
• Permissions for new investment managers and
traders provisioned manually
Business Problem
• Lost an average of 5 days per new hire while
they waited to be granted access to hundreds
of resources, each with its own permissions
• Replace an unsuccessful onboarding process
implemented by a competitor
• Regulations left no room for error
Solution and Benefits
• Store models, groups and entitlements in Neo4j
• Exceeded performance requirements
• Major productivity advantage due to domain fit
• Graph visualization ease permissioning process
• Fewer compromises than with relational
• Expanded Neo4j solution to online brokerage

29. Secure Collaboration: protecting data using Neo4j

30. White Board Session

31. Bootcamp