neo4j.com Open in urlscan Pro
2600:9000:225e:f000:6:ae26:4c0:93a1  Public Scan

Form analysis
2 forms found in the DOM

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  data-eventlabel="Cybersecurity: Combating Modern Threats with Graph Databases 2023" id="" novalidate="novalidate" data-styles-ready="true">
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          <option value="Germany">Germany</option>
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          <option value="Liechtenstein">Liechtenstein</option>
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Register for Connections:
Cybersecurity: Combating Modern Threats with Graph Databases 2023
If you’re unable to make the full day of talks, that’s okay! All talks will be
sent out to registered attendees after the event.


JOIN US FOR A DAY OF


CYBERSECURITY: COMBATING MODERN THREATS WITH GRAPH DATABASES 2023


WEDNESDAY, MARCH 22, 2023 7:30 A.M. - 10:30 A.M. PT | 14:30 - 17:30 GMT

“Defenders think in lists. Attackers think in graphs. As long as this is true,
attackers win.” – John Lambert, Distinguished Engineer and General Manager,
Microsoft Threat Intelligence Center

Ransomware-related data leaks are up by 82 percent, with a 40 percent overall
increase in ransomware attacks during the pandemic. Identity theft increased by
42 percent in 2020 compared to 2019. In 2021, the healthcare industry spent $6
trillion due to security breaches where 700 million records were exposed from
one social media giant within three months.

Is your organization’s cybersecurity measures up to snuff when it comes to data
protection?

Organizations have the responsibility to serve and protect an individual’s data.
To ensure your data is truly secure, you need a solution that connects disparate
data points from equally disparate sources to simultaneously identify
vulnerabilities, analyze network health, and visualize its unpredictable
patterns. Neo4j – the foundational stack for data analytics and AI and the
world’s most secure, performant, and scalable graph database – is an excellent
match for connecting this data.

Cybersecurity: Combating Modern Threats with Graph Databases is an inspiring
half-day virtual event featuring graph database thought leaders and leading
organizations sharing their insight and deep practical experiences with graph
technology and the role it plays in cybersecurity. Whether you’re a developer,
security professional, or tech leader looking to create value from your data
relationships, this event has something for everyone.

Sign up to get more info on Neo4j presentation topics and speakers, as it
becomes available. If you’re unable to attend the entire event, that’s okay! You
can view these talks on-demand after the event – register today!

Register for Connections:
Cybersecurity: Combating Modern Threats with Graph Databases 2023


SPEAKERS


CHANDRA RANGAN

Chief Marketing Officer
Neo4j

 * 


DR. JIM WEBBER

Chief Scientist
Neo4j

 * 


HAYS HUTTON

Cloud Architect
Palo Alto Networks

 * 


ALEXANDER SMART

Enterprise Account Executive
Neo4j

 * 


LEON GOLDBERG

Chief Architect
Cider Security

 * 


NARIMAN MAMMADLI

Director & AI Architect, Joint Security Operations Center
Royal Bank of Canada

 * 


GAL BELLO

Senior Pre-Sales Engineer
Neo4j

 * 

--------------------------------------------------------------------------------


AGENDA

Subject to Change

 * 7:30 – 7:45
   
   Chandra Rangan, Chief Marketing Officer, Neo4j
   
   Welcome

 * 7:45 – 8:05
   
   Dr. Jim Webber, Chief Scientist, Neo4j
   
   Keynote: Cyber Threats and Resiliency Landscape

 * 8:05 – 8:45
   
   Hays Hutton, Cloud Architect, Palo Alto Networks
   
   Digital Twinning the Cloud for DevSecOps

 * 8:45 – 9:05
   
   Xander Smart, Enterprise Account Manager, Neo4j
   
   The Role of Graphs in Cybersecurity

 * 9:05 – 9:30
   
   Leon Goldberg, Chief Architect, Cider Security
   
   The CI/CD Graph – An Attacker’s Perspective

 * 9:30 – 10:05
   
   Nariman Mammadli, Director & AI Architect, Royal Bank of Canada
   
   From Cyber Events to Cyber Stories

 * 10:05 – 11:35
   
   Gal Bello, Sr. Pre-Sales Engineer, Neo4j
   
   Modeling Cybersecurity with Neo4j, Based on Real-Life Data Insights

Register for Connections: Cybersecurity: Combating Modern Threats with Graph
Databases 2023
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