Securing Fintech: Threats, Challenges & Best Practices
Cyber attacks have increased in frequency and severity, and financial institutions are particularly interesting targets to cyber criminals. Join this presentation to learn the latest cybersecurity threats and challenges plaguing the financial industry, and the policies and solutions your organization needs to have in place to protect against them.
Viewers will learn:
• Current trends in Cyber attacks
• FFIEC Cyber Assessment Toolkit
• NIST Cybersecurity Framework principles
• Security Metrics
• Oversight of third parties
• How to measure cybersecurity preparedness
• Automated approaches to integrate Security into DevOps
About the Presenter:
Ulf Mattsson is the Chief Technology Officer of Security Solutions at Atlantic BT, and earlier at Compliance Engineering. Ulf was the Chief Technology Officer and a founder of Protegrity, He invented the Protegrity Vaultless Tokenization, Data Type Preservation (DTP2) and created the initial architecture of Protegrity's database security technology. Prior to Protegrity, Ulf worked 20 years at IBM in software development and in IBM's Research organization, in the areas of IT Architecture and Security, and received a US Green Card of class ‘EB 11 – Individual of Extraordinary Ability’ after endorsement by IBM. Ulf is the inventor of more than 45 patents in the areas of Encryption, Policy Driven Data Encryption, Internal Threat Protection, Data Usage Control and Intrusion Prevention.
RecordedMay 18 201760 mins
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Discover the latest in RegTech and stay up-to-date on compliance tools and best practices The move to digital has meant that many organizations have had to rethink legacy systems. They need to put the customer first, focus on the Customer Experience and Digital Experience Platforms. They also need to understand the latest in RegTech and solutions for hybrid cloud. We will discuss Regtech for the financial industry and related technologies for compliance.
We will discuss new International Standards, tools and best practices for financial institutions including PCI v4, FFIEC, NACHA, NIST, GDPR and CCPA. We will discuss related technologies for Data Security and Privacy, including data de-identification, encryption, tokenization and the new API Economy.
Elena Kozhemyakina, Fintech4Funds | Igor Tesinsky, intelliBONDS | Parag Samarth, Magic Finserv
Regulatory Reporting and Credit Risk Management on the Buy-Side: How FinTech Can Assist with Upcoming Challenges
Over the past 3-4 years the avalanche of new Regulations has exceeded all our expectations and created a new challenging environment for market participants. EMIR, MIFIDII, the upcoming SFTR and other Regulations all require both buy and sell side clients to report to regulators in a timely manner. Banks and other larger institutions have faced these challenges by dramatically increasing their Compliance, Operations and IT departments and introducing a lot of manual work arounds while they were developing internal technical solutions that allowed them to automate the processes and meet new criteria. Buy-Side clients, especially the small to medium sized ones, have never had the luxury of expanding their compliance personnel nor did they have budgets to develop solutions internally. Order Management Systems Providers were not able to respond from their side on time and those of them that were not CLOUD based had to spend months developing new upgraded versions. However, each upgrade of the systems needs to be integrated separately into the environments of individual clients. As a result, smaller clients are suffering at the expense of larger buy-side clients who bring the larger contracts and cash flows to the Providers.
Sarah Peaston, Director, Regulatory Governance Consulting Limited
Post trade execution operations’ processing flows have experienced a technology evolution over the past two decades and have been significantly streamlined, often to the lowest common denominator. When we consider this against the often highly intricate regulatory processing requirements, what do we find?
During this session we will consider:
− Operational processing efficiencies
− Regulatory precision requirements
− Whether the two strategies crossover and easily co-exist
− Whether operational efficiency and regulatory precision are mutually exclusive?
Jaime Bolivar | Begoña Rubio | Javier Carrallo | TechRules
This webinar will cover the following areas:
Digital Wealth Management and customer centric solutions
Artificial Intelligence: emerging new combinations of science and human based advisory models
How to cover regulation with technology easily
Client expectations, no static info anymore, personalizing experiences
Empower partners to achieve goals
Jaime Bolivar, Managing Director TechRules | Bergoña Rubio, International Partners & Managing Director, TechRules | Javier Carrallo, Sales Development Manager, TechRules
Shahnawaz Backer, Principal Security Advisor, F5 Labs
With increased competition and changing customer preferences, Financial Institutions (FIs) must walk a fine line between improving customer experiences and preventing fraud. On the other hand, cybercriminals are changing their tactics to outwit these defenses and putting extra pressure on IT departments that already have to juggle multiple priorities.
At the session, we will explore the advances in the user identification process and how the tactics and techniques used of cybercriminals have evolved detailing some attack campaigns.
When it comes to investing in AI, Machine Learning and the cloud in financial services, there is a balance between investing in a service that will Increase revenue and reduce costs without adding more complexity.
So, how do you ensure that you are getting the return you expect?
Join this webinar with Scott Bewley, MD at Enterprisesaas.co to learn:
- How to define value
- How to measure value
- How to ensure enduring value
Claudia Bate, FleishmanHillard Fishburn | Philipp Pointner, Jumio
COVID-19 is testing fintech. With the accelerated adoption of digital technologies, the resulting user growth challenges platforms and increases the chances of vulnerabilities in the systems, which has an effect on customer security. What can fintechs do to ensure client onboarding is swift yet safe and effective?
This webinar will discuss:
- the measures fintechs can put in place to ensure their systems are effective and customer privacy is not sacrificed.
- How to balance onboarding and risk monitoring.
- Advances in AI and Machine learning that underpin identity verification
According to Capgemini’s World Payments Report 2017, global digital payments are expected to rise to roughly 726 billion transactions in 2020. The growth of digital financial services offers innumerable opportunities, expanding access to financial services products and allowing for essentially instantaneous feedback loops. With these opportunities, however, also come risks, including fraud. The threat of fraud requires financial services organizations to act proactively to minimize losses due to fraud. Analysis of data surrounding their customers and transactions is an essential effort to ensure the benefits of the digital payments space continue to outweigh the risks.
In this webinar, Kayla Hartman will discuss the various ways data is used in fraud prevention. As a Data Analyst at Alloy, a fintech company that provides identity verification APIs for clients’ KYC (know your customer) and AML (anti-money laundering), she has firsthand experience in enhancing fraud prevention efforts through data analysis. She will dive into the ways the use of data is currently advantageous to fraud prevention, as well as the challenges that are presented in this quickly changing space.
Karnika E. Yashwant (Mr. KEY), Founder & CEO, KEY Difference Media
Fintech industry is changing rapidly and now faces a question if the technology growth is forcing the fintech to evolve or if the needs of fintech urge the technology to step up? And in the process, a lot of competitors, many branches of solutions, most of which go not more than half of the way and all these lead to immense confusion, mistakes, and rollbacks. This cannot be changed unless time can be reversed. But an apt solution to this can be explored. That's the premise of this webinar.
Melanie Turek VP of Research and Fellow, Connected Work, Frost & Sullivan
With the rise of mobile and social technologies, customers are more knowledgeable and empowered than ever before. Their ability to access and share information gives them enormous control—and they know it.
As a result, they expect data-driven, personalized interactions at every stage of the customer experience. Frost & Sullivan research shows that one of the clearest trends in customer engagement is the shift from traditional to digital interactions. Buyers like self-service, automated channels because they want easy access to information, on their time line, from anywhere. At the same time, agents want to discard the routine tasks that lower job satisfaction and lead to boredom and churn.
AI and ML help companies leverage real-time and historical information to deliver a contextual, relevant and highly personal customer experience while improving agent morale. This webinar will show you how.
Join our live webinar to learn which elements of AI are driving value for risk and compliance? (i.e. ML, NLP, RPA). Also learn about AI in practice - how regulated financial institutions are utilizing AI today, why
why AI is the only answer to addressing big data compliance challenges, at scale. We will also go over what happened when RegTech met SupTech – how are regulators are applying AI to ease and accelerate compliance processes.
There’s much hype and excitement around how AI and machine learning could transform the world of finance. But a key area of development growing behind the scenes of talking robots and automated assistants is how these new technologies will have a seismic impact on Anti-Money Laundering (AML) and Counter-terror Financing (CTF) back-end compliance processes. AI can dramatically improve AML risk data collection; spotting new risks faster and digging deeper for hidden risks.
It will also shift customer onboarding & KYC processes from ‘name matching’ to contextual ‘identity matching’ to reduce false positives and false negatives. Unlike other industries, the training data required to make this a reality with machine learning techniques are available today.
AI-driven compliance will ultimately have an enormous impact on how financial services will work - increasing automation, reducing manual overheads and helping prevent financial crime.
Presented by Charles Delingpole, CEO & Founder ComplyAdvantage
Charles Delingpole founded ComplyAdvantage in 2014, and as CEO leads the product development and growth of the company. Charles set up his first company, The Student Room Group, now the world’s largest student discussion forum, when he was 16. After completing his MA in Politics at Trinity College Cambridge, and then an MSc in Management, Strategy and Finance from the LSE, he became an associate at J.P. Morgan Cazenove. He then went on to co-found FinTech firm MarketInvoice, a peer -to - peer financing company which uses customer data to digitise the approach to financial risk analysis.
Jonathan Williams (Mk2 Consulting Ltd), Rowenna Fielding (Protecture), Sarah Rutherford (FICO)
Legislation is placing an increasing burden on the financial services industry both to know its customers and to minimise personal data held. How do providers resolve that apparent contradiction and ensure that their accounts are safe, both for consumers and businesses? What are the key approaches and how can financial service providers keep up with the rate of technological progress and criminals?
With large-scale data breaches in the news almost every month, financial institutions are becoming increasingly vulnerable to synthetic identity fraud, account takeovers and other types of malicious activity.
Fraudsters today have access to powerful computing resources and tools, giving them the ability to launch large-scale sophisticated attacks. This has led to an increasing number of businesses turning to more advanced methods for identifying suspicious activity and mitigating risk.
Tune into this session to learn about new fraud trends and to also find out how AI and big data technology can be applied to uncover new fraud patterns early before they have time to do serious damage.
Machine learning can help process the enormous volume of data that is overwhelming traditional IT security infrastructure and human researchers. It automates and scales cybersecurity to meet these
Leveraging the capabilities of machine-learning enabled systems is critical for organizations that are highly targeted for cyberattacks. This presentation will examine the benefits machine learning provides to reduce fraud and manage risk.
Paul Crichard (BT Security), Saso Mickov (Sparkasse Bank), Melike Belli (Cybertonica Ltd), Seema Khinda Johnson (Nuggets)
Data breaches have risen 480% within Financial Services firms in the UK. With the Financial Services industry being plagued by constant risks and regular threats, professionals need to be at the top of their game to thwart criminals.
Join this panel where our experts will discuss:
-What is the current state of Financial Services security?
-How can organisations prevent and detect threats?
-What are the key questions FIs should be asking their security teams?
-Are new regulations doing enough to keep FIs and their customers safe?
With every transaction, merchants are learning more and more about their customers. And with those learnings come data and lots of it - a breach of that payments data is a nightmare for any merchant. Consumers are trusting you with their sensitive data, and losing that trust also equates to lost business. Is security simply a must-do, or can you turn it into a competitive advantage for your business? Listen in to information security and cybersecurity experts in the payments space as they discuss the minimum requirements as well as the next steps you can take to create a better customer experience while maintaining the highest levels of security.
Some questions we'll answer:
- What is the burden on merchants to maintain compliance?
- How are current security measures causing friction in the payments experience?
- What are some tokenization options for merchants?
- What are other measures past the minimum security requirements that will elevate your business?
Moderator to come*
Panelists: Matt McBride, CISO at Modo
John Brown, Solutions Consultant, NS8
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