Artificial Intelligence & Machine Learning

Threat actors are always on the prowl for another victim. Luckily the tools used to detect and defeat those attacks are constantly evolving. Join us to learn more about how data from artificial intelligence and machine data can give security professionals the advantage.

Artificial Intelligence & Machine Learning

Darktrace Innovation: Protecting the Dynamic Workforce

Justin Fier - Darktrace • •

The future of work remains unpredictable, and organizations must rethink their approach to security to achieve much-needed adaptability and resilience. In this session, learn how the Darktrace Immune System addresses the challenges our next normal will bring with AI augmentation, Autonomous Response, and unified...

Start this Session

Securing the Future of Work

Justin Fier - Darktrace • •

Though parts of the world are slowly transitioning back to 'normal', cyber-attackers have not slowed down and may even be waiting to take advantage of new business challenges. Join, Justin Fier - Director of Cyber Intelligence & Analytics, as he discusses how traditional cyber security tools are ill-equipped to...

Start this Session

Smarter Threat Management with Machine Learning and Artificial Intelligence

George Nastasi - IBM • •

Threats continue to evolve in complexity at unprecedented rates, making it a challenge to identify legitimate threats and respond timely. Having a threat management approach is key and infused with AI and Machine Learning, we can make decisions faster, identify threats earlier, perform investigations better, and begin...

Start this Session

Defending Your APIs Against Industrialized Cybercrime

Ameya Talwalkar - Cequence Security • •

With APIs pervasive across your organization, powering apps, and enabling digital transformation, you need to consider whether your existing infrastructure and security tools can identify security gaps before they become incidents and if they can withstand an industrialized attack. API coding errors and malicious bots...

Start this Session

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...

Start this Session

Malicious Bot Attacks: The New #1 Cyber Threat

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...

Start this Session

AI Disruption of Cybersecurity

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?

Start this Session

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...

Start this Session

The Ethics of ML and AI

Diana Kelley - Microsoft • •

Start this Session

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...

Start this Session

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...

Start this Session

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...

Start this Session

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...

Start this Session

The Ethics of ML and AI

Diana Kelley - Microsoft • •

Start this Session

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...

Start this Session