[Video Interview] The Cyber Year in Review: Ian Glover, President, CREST

As organizations are forced to adapt to the world around them, the amount and severity of threats continues to increase. In order to ensure security in the cloud, it is vital to protect and maintain IT systems and devices in the office and remotely. Join this panel of industry experts as they discuss cloud cyber hygiene strategies and solutions, including:

- Cloud security protocol best practices
- Strategies for cloud security success
- IT Security hygiene in real time
- Tools and technology to ensure cloud hygiene

Moderator:
- Ed Moyle, General Manager and Chief Content Officer, Prelude Institute
Speakers:
- Nathan Burke, CMO Axonius
- Raef Meeuwisse, ISACA Expert Speaker & author Cybersecurity for Beginners

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Cyber-attacks have cost the financial services industry more than any other sector, especially due to the extremely sensitive data and assets that they are gatekeeping.

Join this panel to learn:
-What is the current state of the cybersecurity in financial services?
-Why is cybersecurity more of a business risk than a technology issue?
-Best practices for detecting and preventing threats

Robert Prigge, President, Jumio
Tony Fish, Founder, AMF Ventures
Dearg OBartuin, CTO, Founders Bank
Steven Holt, Practice Lead - EMEIA FS Cybersecurity, EY
Cheri McGuire, Group Chief Information Security Officer, Standard Chartered Bank

The interplay of Humans and Machines in AI-based Automation

Machine learning systems are now routinely performing complex tasks at unparalleled levels of performance across a wide range of applications. However, mission-critical applications such as those in financial services have a minimum tolerance for errors and error correction. Resultantly, the design of machine learning-based systems for such applications requires unprecedented levels of oversight and adaptability.

An optimal system has the right level of interplay between humans and machines. Onfido employs a large number of machine learning models to deliver scalable, secure and frictionless identity verification for their clients, whilst giving clients accurate data they need to remain KYC compliant—so ensuring their models deliver real-world results is business-critical. In this interview we talk with Mohan Mahadevan, VP of Research at Onfido, to learn about how the constraints on these applications, the tradeoffs in an optimal system, and what the future looks like.

Mohan Mahadevan, VP of Research, Onfido
Tony Fish, Founder, AMF Ventures


About Mohan

Mohan is an expert in computer vision, machine learning, AI, data and model interpretability, previously leading research efforts at Amazon as Head of Computer Vision and Machine Learning for Robotic Applications. He has over 15 patents in areas spanning optical architectures, algorithms, system design, automation, robotics and packaging technologies. As Onfido’s VP of Research he leads Onfido’s team of specialist machine learning engineers and is focused on ensuring their systems work both in the lab and the real world.

In this session, we'll discuss various approaches to managing multi-cloud security,

Presented by:
Jeremy Snyder, VP Business Development & International Strategy
Jeremy has been in SaaS since 2002 and in the cloud since 2010. His career has been 5 startups (3 co-founded) and Amazon Web Services. Jeremy's been with DivvyCloud since 2016 and has worked with cloud customers in 4 continents to improve their security posture. Jeremy has a BA in Linguistics from the UNC and an MBA from GMU. Jeremy has lived in 5 countries and speaks more than 5 languages. Jeremy once went 3 days without seeing another human (although he saw dozens of reindeer) and another time got kicked off a train in central Sweden.

Join Sonrai Security CTO & Co-Founder Sandy Bird present why a zero-trust security program is critical to public cloud platforms like AWS, Azure, & GCP

Applications built on a public cloud requires a security model based on trust relationships between consumers of data and the data itself. Public clouds like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) all provide the ability to build applications with strong Identity and Access Management (IAM) policies.

Unfortunately, the numerous IAM configuration options can quickly turn a unique opportunity to build security into applications into a security nightmare. Enterprises building in public cloud must ensure their security programs tightly control trust relationships to ensure adherence to the principles of least privilege and the segregation of duties. During this webcast you will learn:

- A historical perspective on zero trust
- Why the foundation of zero trust is critical for applications built in a public cloud
- The potential risk that can be introduced by public cloud IAM configuration options
- The importance of baselining and monitoring trust relationships in public cloud
- Highlights of different public cloud IAM models

World of kubernetes and cloud is very different from traditional data center world. This talk will address the differences between the two worlds for security professionals.

The information about what security architects need to think about when designing overarching security architecture will be explored. Important foundational comparisons of different cloud-native architecture design and data center architecture will be reviewed. Distributed and centralized characteristics of the two different environments will be considered for security architecture design.

Architecture attributes of cloud-native security architecture versus legacy data center security architecture will be reviewed. Ideas on how to alter security architecture models to meet dynamic nature of cloud technologies will be explored.

This session will equip security architects with facts that will help them design future security implementations.

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According to Forrester's Cloud Security Solutions Forecast 2018 to 2023 report, the global spend for cloud security technologies will reach $12.7 billion by 2023, mostly driven by financial services organizations. This spend likely won't flow into a single vendor, as organizations are increasingly relying on several options for securing their clouds.

Join this keynote panel of experts to learn more about the biggest trends in cloud security, as well as the best practices for securing your multi clouds:
- Crucial steps companies should be taking as they move data and processes to multiple cloud environments
- Understanding the shared responsibility model in the context of infrastructure-as-a-service (IaaS), software-as-a-service (SaaS), and platform-as-a-service (PaaS)
- Protecting and planning for the future


Moderator:
- Jo Peterson, Vice President, Cloud and Security Services, Clarify360

Panelists:
- Manon Buettner, CEO & Co-Founder, Nuvalo
- Michelle Ruyle, CEO & Founder, Optimized Channel
- Fred Streefland, Chief Security Officer,, North and North East Europe, Palo Alto Networks
- John Aarsen, Benelux & Nordics Solutions Architect, SonicWall

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With email security breaches constantly making headlines, it is crucial for organisations to be ahead of the curve. Join this interactive panel of industry experts as they discuss the latest trends in email security and how to prevent becoming the next international headline.

Join this Q&A panel to learn more about:

-Emerging trends in email attacks
-How to stay on top of the latest threats
-Best solutions to protect your organisation

Machine learning platforms are one of the fastest growing services of the public cloud. ML, an approach and set of technologies that use Artificial Intelligence (AI) concepts, is directly related to pattern recognition and computational learning. Early adopters of AI have now rolled out cloud-based services that are bringing AI to the masses.

How are AI, deep learning, machine learning, big data, and cloud related? Can machine learning algorithms enable the use of an individual’s comprehensive biological information to predict or diagnose diseases, and to find or develop the best therapy for that individual? How is Quantum Computing in the Cloud related to the use of AI and Cybersecurity?

Join this webinar to learn more about:
- Machine Learning, Data Discovery and Cloud
- Cloud-Based ML Applications and ML services from AWS and Google Cloud
- How to Automate Machine Learning

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