Artificial Intelligence & Machine Learning

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...

Resolve and Evolve: Machine Learning for Email Threat Protection

Session In Development  • 

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. Join this session to discuss: How machine learning is being used to detect threats Latest advancements in machine learning for cyber...

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 Yet most cities and counties rely on an outdated approach to defending their networks: relying on...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...

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...

Mitigating Insider Threats Using Artificial Intelligence: A CISO's Hands-on Approach

Session In Development  • 

Sridhar Govardhan - Wipro Ltd  •   • 

The recent breach incidents at Union Bank, Cosmos Bank and Punjab National Bank reveal interesting insights about insider fraud and how insiders can evade both deterrent and detection controls. This sessions offers insights from a CISO on how to detect and prevent insider fraud, as well as how to map insider threat...

Automate Threat Hunting with Security Analytics & Machine Learning

Ryan Stolte - Bay Dynamics  •   • 

Multi-stage attacks use diverse and distributed methods to circumvent existing defenses and evade detection - spanning endpoints, networks, email and other vectors in an attempt to land and expand. Meanwhile, individual tools including DLP, EDR, CASBs, email security and advanced threat protection are only designed to...

Finding Fraud Using Machine Data: It Works!

Jim Apger - Splunk  •   • 

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 the past year. Learning to onboard new data at the speed of the business will ensure your fraud team can...

Seeing Beyond the Hype: The Power of AI and ML to Detect Advanced Threats

Mustafa Rassiwala - Lastline  •   • 

In a recent Ponemon survey on cyber resilience, respondents reported that both the time to respond to attacks and the severity of the attacks have increased. They also reported that the number one barrier to cyber resilience is the "lack of investment in new cybersecurity technologies, including artificial...

Shift to Self-Learning, Self-Defending Networks

Session In Development  • 

Nicky Dewhurst - Darktrace  •   • 

With machines fighting machines and increasingly sophisticated human attackers, we are now entering a new era of cyber-threats. The battle is no longer at the perimeter but inside of our organisations, and no security team can keep up with its speed. Cyber-attackers are quickly becoming silent and stealthy, and cyber...

How to Contain Insider Threats Through User-Centric Machine Learning and AI

Mark Bower - Egress Technologies  •   • 

Despite increasing investment in cyber security tools, there has been a significant increase in in data breaches, compliance violations and their related costs, specifically those relating to insider threats: accidental loss, misdirected content, and the malicious insider. These types of incidents contribute up to 80%...

Finding Fraud Using Machine Data

Matthew Joseff - Splunk  •   • 

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 the past year. Learning to onboard new data at the speed of the business will ensure your fraud team can...

AI and Machine Learning: More Than Buzzwords?

Sam Curry - Cybereason  •   • 

Artificial Intelligence, Machine Learning and Data Science are among the many disciplines abused by cybersecurity marketing and snake oil salesman alike. But how do you separate snake oil from reality? Where do you turn for practical insight on emerging technologies that truly can improve your cybersecurity defensive...

Analyzing Human & Machine Behavior to Mitigate Account Takeover

Ryan Wilk - NuData Security  •   • 

99% of account takeover attacks begin with automation, and they pave the way for future ATO. Today's sophisticated scripts can bypass traditional measures that rely purely on device intelligence or static data. Learn how to block sophisticated attacks with behavioral biometrics before they create fraud losses. You...