Artificial Intelligence & Machine Learning

AI Disruption of Cybersecurity

Session In Development  • 

Chris Calvert - Respond Software  •   • 

In this exclusive one-on-one discussion, we will hear from Chris Calvert, Co-Founder and Product VP for Respond Software, to get his insights on: Is AI falling short? How do we successfully balance human and machine approaches to security? How do we get on the right path?

Malicious Bot Attacks: The New #1 Cyber Threat

Session In Development  • 

Eric Bucher - Cequence Security  •   • 

in this session we'll first examine the current state of bot automation and the different attack modalities currently conducted through machine automation. We'll then dive into attacker tools, their infrastructure, and compromised credentials to demonstrate how they were used against a major retailer in a real-world...

Fraud Prevention - How to Correctly Mix AI and Cyber Intelligence for Impact

Shaked Vax - IBM Security  •   • 

Join us for a behind the scenes tour of the largest anti-fraud provider research operation. We discuss how to interlace Machine Learning, cyber threat intelligence, and fraud analysis into agile and accurate fraud prevention. Taking a use case approach, we will demo a behavioral biometrics detection technology and...

The Ethics of ML and AI

Diana Kelley - Microsoft  •   • 

AI will enable breakthrough advances in areas like healthcare, agriculture, education and transportation; it's already happening in many ways. But new technology also inevitably raises complex questions and broad societal concerns. As we look to a future powered by a partnership between computers and humans, it's...

Resolve and Evolve: Machine Learning for Email Threat Protection

Dena Bauckman - ZixCorp  •   • 

As email threats become more advanced, machine learning is being used to detect these attacks. Learn the latest about machine learning & how it is changing the threat landscape. This session discusses: How machine learning is being used to detect threats Latest advancements in machine learning for cyber...

Reducing Risk Now

Christopher Bontempo - IBM Security  •   • 

Health organizations face a wide range of new cyber security threats like crypto-jacking and IoT vulnerabilities while still facing the heavy load of compliance and basic security blocking and tackling. Security requires an end to end framework based approach to manage well against a constantly evolving threat...

Diagnose and Defeat Application Fraud with the Latest AI

Shirley Inscoe - Aite Group , Alex Niu - DataVisor  •   • 

Application fraud losses are projected to top $1.3B in the US by 2020. Understanding the trends behind these staggering numbers is critical if institutions are to prevent crippling financial and reputational losses. Join Aite's Senior Analyst, Shirley Inscoe, and DataVisor's Director of Solution Engineering, Alex...

Law Enforcement in Cyberspace: How AI Defends Today's Cities

Justin Fier - Darktrace , Michael Sherwood - City of Las Vegas  •   • 

Entrusted with protecting the personal information of their residents, with securing critical infrastructure, and with overseeing fair elections, local governments face few challenges more pivotal than cyber security. Yet most cities and counties rely on an outdated approach to defending their networks: relying on...

The Ethics of ML and AI

Diana Kelley - Microsoft  •   • 

AI will enable breakthrough advances in areas like healthcare, agriculture, education and transportation; it's already happening in many ways. But new technology also inevitably raises complex questions and broad societal concerns. As we look to a future powered by a partnership between computers and humans, it's...

Malicious Bot Attacks: The New #1 Cyber Threat

Eric Bucher - Cequence Security  •   • 

Join us as we first examine the current state of bot automation and the different attack modalities currently conducted through machine automation. We will dive into attacker tools, their infrastructure, and compromised credentials to demonstrate how they were used against a major retailer in a real-world attack. This...

Finding Fingerprints of Fraud with Machine Data

Jade Catalano - Splunk  •   • 

Organizations and people's security hygiene can be poor, and criminals know it. Fraudulent activity costs are in the billions worldwide across industries, and over 16 million consumers in the US were victims of identity theft or fraud in 2016. Learning to analyze data at the speed of the business will ensure your...

Digital Transformation and the State of E-Fraud

Session In Development  • 

Claire Hatcher - Kaspersky  •   • 

In this presentation, hear about the recent history and the future of technology and consumer patterns and drivers. This session explores the continued proliferation of social media, IoT and artificial intelligence and the implications of this technology. The huge rise in cybercrime and fraud highlights the challenges...

Session: Zero Trust and IT, IoT and OT - How to Start and How to be Sure

Session In Development  • 

Steven Hunter - Forescout Technologies  •   • 

The Zero Trust model of information security has become a fixture in both the strategies of enterprise security teams and the roadmaps of security solution developers and for good reason. Perimeter-focused security architectures that default to high trust levels on the internal network continue to fail disastrously...

Fireside Chat: Harnessing AI and Machine Learning for Banking Innovation: The Security Challenge

Session In Development  • 

 • 

Moderator: Pinaq Dudhwala, National Manager, Financial Crime, ICICI Bank Speaker: Sameer Ratolikar, CISO, HDFC Bank How can banks leverage artificial intelligence and machine learning to drive innovation while ensuring that the project is secure and would not make the data vulnerable? How important is it to...

How Biometrics Power Modern Fraud Prevention Strategies

Session In Development  • 

Antonio Moreno - Nuance  •   • 

Join this session to hear from Antonio Moreno, Global Business Director, Security and Biometrics at Nuance as he discusses: How fraud is moving beyond telephony in the contact center to web, mobile and other digital channels Enterprises' readiness to prevent fraud across channels The importance of cross-channel...