GAIN ACTIONABLE INSIGHTS FROM INDUSTRY LEADERS

Over two days, the Ai4 Cybersecurity conference brings together business leaders, data practitioners, and AI pioneers who are applying artificial intelligence to solve problems and create opportunities in the cybersecurity industry. Thanks to the convergence of modern computing power and data science, the cybersecurity industry is leveraging AI to create entirely new value.

Industry leaders will highlight the most valuable insights by delivering specific use cases. Whether you hold a technical, non-technical, or hybrid role, Ai4 is focused on helping you along on your AI journey, at whichever stage you may be.

A New Kind of Conference

Cybersecurity Industry Specific

A conference built just for you

Practical Use Case Driven

Real insights that you can apply today

Application Only

To ensure quality connections

Curated 1:1 Meetings

Cut to the chase. Meet the right people.

A New Kind of Conference

Cybersecurity Industry Specific

A conference built just for you

Application Only

To ensure quality connections

Practical Use Case Driven

Real insights that you can apply today

Curated 1:1 Meetings

Cut to the chase. Meet the right people.

what you'll learn

Our goal at Ai4 Cybersecurity is to provide a common framework for thinking about what AI means to the industry.

See the below diagram for the AI use cases that we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today. The modern use of AI is less about automating human roles and more about augmenting them.

what you'll learn

Our goal at Ai4 Cybersecurity is to provide a common framework for thinking about what AI means to the industry.

See the below diagram for the AI use cases that we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today. The modern use of AI is less about automating human roles and more about augmenting them.

Tracks

You’ll encounter two distinct tracks that differentiate between technical and non-technical discussions. See below to determine which track best fits your interests and goals.

Both tracks will cover all topics listed above either from the perspective of the business exec (Business Track) or data practitioner (Data Track). These include company-wide cyber health monitoring, modeling corporate cyber risk, vulnerability management, data security and data loss prevention, automated classification of data, identifying corrupted training data, combating advanced AI threats and zero-day attacks, optimization of alerts, orchestration and incident response, incident response storytelling, cloud security, identity and access management (IAM), DevOps security, and insider threats.

TRACK 1                             TRACK 2                            

DATA TRACK

This track was designed for our technical audience. You can expect a deep dive into the specifics of the machine learning models. Most talks during this track will be in a longer 50-minute format. Hear topics including:

  • Dealing with Legacy Systems
  • Unstructured Data
  • Cloud v Local Environment
  • Infrastructure Needs
  • Data Privacy and Security
  • Scaling to Big Data
  • Software & Tools
  • Dealing with Biased Data Sets
  • Productionizing Your Model
  • Model Interpretability
  • Deep Learning
  • Reinforcement Learning
  • AI Ethics
  • And More!

BUSINESS TRACK

This track was designed for attendees holding non-technical and hybrid job functions seeking to understand the business value of specific AI projects. Most talks during this track will be in a 30-minute format. No technical expertise required. Hear topics including:

  • Understanding AI Capabilities
  • Top Use Cases For AI & ML
  • Modeling Corporate Cyber Risk
  • Scoping & Budgeting Your Project
  • Pilot Programs & Proof of Concept
  • Building Your Data Science Team
  • Building vs Buying
  • Data Democratization & Access
  • ROI & Measuring Success
  • Automation vs Augmentation
  • Preparing The Human Workforce
  • Compliance & AI
  • AI Ethics
  • And More!

Tracks

You’ll encounter two distinct tracks that differentiate between technical and non-technical discussions. See below to determine which track best fits your interests and goals.

Both tracks will cover all topics listed above either from the perspective of the business exec (Business Track) or data practitioner (Data Track).

TRACK 1                            

DATA TRACK

This track was designed for our technical audience. You can expect a deep dive into the specifics of the machine learning models. Most talks during this track will be in a longer 50-minute format. Hear topics including:

  • Dealing with Legacy Systems
  • Unstructured Data
  • Cloud v Local Environment
  • Infrastructure Needs
  • Data Privacy and Security
  • Scaling to Big Data
  • Software & Tools
  • Dealing with Biased Data Sets
  • Productionizing Your Model
  • Model Interpretability
  • Deep Learning
  • Reinforcement Learning
  • AI Ethics
  • And More!
TRACK 2                            

BUSINESS TRACK

This track was designed for attendees holding non-technical and hybrid job functions seeking to understand the business value of specific AI projects. Most talks during this track will be in a 30-minute format. No technical expertise required. Hear topics including:

  • Understanding AI Capabilities
  • Top Use Cases For AI & ML
  • Modeling Corporate Cyber Risk
  • Scoping & Budgeting Your Project
  • Pilot Programs & Proof of Concept
  • Building Your Data Science Team
  • Building vs Buying
  • Data Democratization & Access
  • ROI & Measuring Success
  • Automation vs Augmentation
  • Preparing The Human Workforce
  • Compliance & AI
  • AI Ethics
  • And More!

who should attend

Business leaders & data practitioners who are seeking to improve their business using AI.

Common Business Roles:

– COO, Partner, CEO

– SVP, EVP, VP, Director

– Head of IT, Head of Risk

– Consultant

Common Technical Roles:

– CISO, CTO, CIO, CITO, CAIO

– Security Analyst, Engineer, Architect

– Data Scientist, Head of Platform

– Cybersecurity Doctorate

Join Applicants From:

Decision-makers from leading companies who are seeking to improve their business using AI.

Common Business Roles:

– COO, Partner, CEO

– EVP, SVP, VP, Director

– Head of IT, Head of Risk

– Consultant

 

 

Common Technical Roles:
– CISO, CTO, CIO, CITO, CAIO

– Security Analyst, Engineer, Architect

– Data Scientist

– Cybersecurity Doctorate

Join Applicants From:

2019 SPEAKERS

45+ speakers from leading cybersecurity companies, cybersecurity teams from Fortune 500 firms, and top government agencies will take stage over the two days to share their AI initiatives.

Below are confirmed speakers. Please note that in the event of a speaker cancellation, we will do our best to find a suitable replacement. Refunds will not be granted for speaker cancellations.

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Wayne Chung

Chief Technology Officer, FBI

Talk Title: Artificial Intelligence and Cybersecurity – Math Not Magic

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Nicole Eagan

Chief Executive Officer, Darktrace

Talk Title: AI: Defense or Threat?

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Eugene Levin

Global Head of Quality Management & Project Governance, Credit Suisse

Panel: The AI Vendor Landscape

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Ricardo Lafosse

CISO, Morningstar

Talk Title: A Choose Your Own Adventure Into Modular Automation

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Erin Kenneally

Portfolio Manager, Cyber Security Division, Science & Technology Directorate, US Department of Homeland Security

Talk Title: Responsible Innovation for Cybersecurity AI

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Michele Guel

Distinguished Engineer, Cisco

Talk Title: Romancing the Data – The Practicalities of Privacy Engineering in the Marriage of AI and IOT

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Tina Posey

Former Program Manager - Cyber Security Operations, Condé Nast

Talk Title: How AI Can Inform Your Security Posture and Improve Alignment to Your Organizational Objectives

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David Billeter

CISO, CA Technologies

Panel: CISO Perspective on AI

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Eliezer Kanal

Data Science Team Lead, CERT

Talk Title: Secure Your Code via AI

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Christopher Novak

Director of Threat Advisory Research, Verizon

Talk Title: Leveraging AI in Cybersecurity Risk Modeling and Mitigation

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Vernon Habersetzer

Senior Enterprise Technical Expert, Walmart

Talk Title: Threat Hunting at Walmart

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Parthasarathi Chakraborty

Director of Infrastructure Security Architecture, BMO Financial Group

Talk Title: AI for Solving Security Challenges with Microservices & Serverless Technology

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Justin Vermillion

Head of Application Security, Los Alamos National Laboratory

Talk Title: The Future of Application Security

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John Prokap

CISO, HarperCollins

Panel: The AI Vendor Landscape

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Nicholas Sikora

Cyber Security Engineer, Booz Allen Hamilton

Talk Title: Removing Data Silos: The Role of Organizational Leadership in Enabling Secure and Effective Data Lakes

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Shing-Hon Lau

Senior Cybersecurity Engineer, CERT

Talk Title: Exploring Keystroke Dynamics for Insider Threat Detection

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Ravi Mani

IBM Distinguished Engineer, CISO & Director IBM Watson and Cloud Platform Security

Panel: CISO Perspective on AI

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Hussein Syed

CISO, RWJBarnabas Health

Talk Title: AI and ML Use in Cyber Security

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Omer Khan

CEO, VividTech, Inc.
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Pramod Prakash

Dynamic Defense Engineer – Cybersecurity Analytics, Walmart

Talk Title: Threat Hunting at Walmart

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Vijay Ganti

Head of Product and AI/ML Research for Security Products, VMWare

Talk Title: The Role of AI/ML in Cybersecurity

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Raffael Marty

VP of Research and Intelligence, Forcepoint

Panel: AI For Detection & Incident Response

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Lars McCarter

Director Network Operations & Security Center (NOSC), US Coast Guard

Panel: The AI Vendor Landscape

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Matthew McFadden

Cyber Director, General Dynamics Information Technology

Panel: The AI Vendor Landscape

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Serge Vilvovsky

CYBERSECURITY & BIG DATA EXPERT, ALTASTATA PROJECT, MIT STARTUP EXCHANGE

Talk Title: Securing Personal Data for ML/AI Computing in the Cloud

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Aaron Blackstone

CISO, Texas Department of Public Safety

Talk Title: Coordinating Across Multiple Agencies to Assist in a Ransomware Recovery

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Mark Sherman

Director, Carnegie Mellon, Cyber Security Foundations

Talk Title: Using AI to Build More Secure Software

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Raghu Dev

Director of Identity and Access Management, BNY Mellon

Talk Title: AI Techniques for Managing Identity and Access Management to Manage Cyber Risk

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Salvador Mandujano

Security Engineering Manager, Android Security, Google

Talk Title: Identifying PHA with ML in the Context of Google Play Protect

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John Shegerian

Executive Chairman, ERI

Panel: Data Protection & Security

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Saman Taghavi Zargar, Ph.D.

Member of Technical Staff - Security Business Group, Cisco

Talk Title: Building a Fast Data Pipeline Using VPP

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Jason Bonds

General Manager - PingIntelligence, Ping Identity

Panel: Data Protection & Security

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Hemanth Jayaraman

Director - Cloud Center of Excellence, Nieman Marcus

Talk Title: Centralized Automated Security Governance in the Cloud

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Anju Chopra

SVP - Cyber Technologies, Kroll

Panel: Data Protection & Security

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Pradeep Patel

Software Engineer, Cisco

Talk Title: Building Fast Data Pipeline Using VPP

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Dustin Hillard

CTO, eSentire

Panel: AI For Detection & Incident Response

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Sam Curry

CSO - Cybereason

Panel: AI For Detection & Incident Response

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Erinmichelle Perri

CISO, MultiPlan

Panel: CISO Perspective on AI

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Prashil Kumar

Head of IT Operations & Infrastructure, Fiji Airways

Panel: Data Protection & Security

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Peerzada Omar Shabir

Cloud Security Architect, Neiman Marcus

Talk Title: Centralized Automated Security Governance in the Cloud

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Mark Ostrowski

Head of Engineering - US East, Check Point

Panel: CISO Perspective on AI

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Dr. Krishnamurthy Vemuru

Principal Machine Learning Scientist, Riverside Research

Talk Title: Machine Learning for Hybrid Threat Modeling

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Prateek Agrawal

MD - Head of Global Business Continuity Management, Citi

Panel: Data Protection & Security

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Scott Scheferman

Senior Director of Global Services, BlackBerry Cylance

Panel: AI For Detection & Incident Response

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Mike Krygier

Deputy CISO - Urban Technology, NYC Cyber Command

Panel: The AI Vendor Landscape

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Giora Engel

Vice President of Product Management, Palo Alto Networks

Panel: AI For Detection & Incident Response

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Nasir Memon

Professor of Computer Science & Engineering, NYU Tandon

Talk Title: Seeing is Believing? Media Integrity in a Post-Truth World

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Michael Makovoz

Chief Data Scientist, NYC Cyber Command

Talk Title: An Enterprise Approach to Data Science for Cyber Security

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Dr. Mark E. Segal

Chief of Computer and Analytic Sciences Research, National Security Agency

Talk Title: AI@NSA: From Artificial Intelligence to Signals Intelligence and Cybersecurity

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Wilson Lin

Managing Director for Cyber NYC, NYC Economic Development Corporation

Talk Title: Cyber NYC | A Plan to Turn New York Into a Capital of Cybersecurity

AGENDA AT-A-GLANCE

Below is the high level agenda so you can know timing for travel arrangements. You’ll find a detailed agenda that includes speaker session times, abstracts, and bios by clicking the button below.

APRIL 29TH

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:15AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:50PM      Lunch
1:50PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
5:30PM        Evening Networking
6:00PM        Conference Hall Closes
6:30PM        AI After Dark Event: Data For Dinner

APRIL 30TH

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:15AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:50PM      Lunch
1:50PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
5:30PM        Evening Networking
6:00PM        Conference Hall Closes
6:30PM        AI After Dark Event: Bar Crawl

APRIL 29TH

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:15AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:50PM      Lunch
1:50PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
5:30PM        Evening Networking
6:00PM        Conference Hall Closes
6:30PM        AI After Dark Event: Data For Dinner

APRIL 30TH

8:00AM        Registration, Morning Networking & Coffee
9:00AM        Morning Content Sessions
11:15AM      Morning Break & Networking
11:30AM      Morning Content Sessions
12:50PM      Lunch
1:50PM        Afternoon Content Sessions
4:00PM        Afternoon Break & Networking
4:30PM        Afternoon Content Sessions
5:30PM        Evening Networking
6:00PM        Conference Hall Closes
6:30PM        AI After Dark Event: Bar Crawl

DATA FOR DINNER

MONDAY, APRIL 29, 6:30-8:30PM

Join us for curated 12 person group dinners after Day 1 of the conference ends! We’ve made reservations at a handful of New York favorites for you to choose from. Experience great food and continue to build lasting relationships with other attendees.

*Please note that the cost of dinner is included in your conference pass. Spaces are available on a first-come, first-served basis. Only registered ticket holders will have the opportunity to attend.  

Ai4 OFFICIAL COCKTAIL

TUESDAY, APRIL 30, 6:00pm-10:00pm

Can you think of a better way to make connections? Neither could we! After the conference ends on Tuesday, you’ll have a chance to recharge and join us for a night out in New York! We’ll provide an open bar and light appetizers. Sign ups are available to registered attendees only.

CONFERENCE VENUE

Convene

117 W 46th Street, New York, NY 10036

This brand new venue is located conveniently in Midtown West, featuring close proximity to major transportation hubs, Times Square, and Rockefeller Center.

BOOK YOUR HOTEL

Hyatt Centric | Times Square New York

135 West 45th Street New York, New York 10036

As the venue is not located within a hotel, we reserved a room block at a nearby Hyatt. There are many other hotels in the area for a variety of different tastes and budgets.

Click here to reserve a room within the Ai4 block.

Or call 646-364-1234 to book and mention Ai4 Cybersecurity.

About

Artificial intelligence could be the last invention that humankind needs to make. As such, we think it’s pretty important we get it right. In 2019, Ai4 conferences will educate 1500+ top executives & data practitioners at the world’s largest companies about how they can responsibly leverage AI today. Confusion is still commonplace when discussing AI for the enterprise; from basic definitions all the way to implementation. Through our conferences and content, we aim to provide a common understanding for what AI means to the enterprise. Visit our homepage to learn about each of our conferences: Ai4 Finance, Ai4 Healthcare, Ai4 Cybersecurity, and Ai4 Retail.