Name: Tech Talks: A Modern Approach to Fighting Fin Crimes: Fraud, KYC, & AML
Start: 2024-11-13T15:00:00Z
End: 2024-11-13T15:00:29.000Z
Location: BrightTALK

Duality is the leader in privacy enhanced secure data collaboration, empowering organizations worldwide to maximize the value of their data without compromising on privacy or regulatory compliance.  Founded and led by world-renowned cryptographers and data scientists, Duality operationalizes privacy enhancing technologies (PETs) to accelerate data insights by enabling analysis and AI on encrypted data, while preserving data privacy, compliance and protecting valuable IP. 

On our channel, we'll be featuring our team of world-renowned cryptographers and data scientists and exploring 3 key areas relating to PETs: the vision (how data is changing as a concept), the business side (practical applications), and technical walkthroughs. Enjoy!

Digital sovereignty is reshaping global defense strategy, forcing nations to rethink how they protect and activate sensitive data and AI systems while still enabling the coalition-driven operations modern missions require. The central question is no longer if sovereignty matters, but how it can coexist with the cross-border, cross-domain collaboration that alliances depend on.
In this live discussion, a distinguished panel of leaders from defense, cyber, and sovereign cloud innovation will unpack what this shift really means in practice. Sir Chris Deverell, Admiral (Ret.) Mike Rogers, Mario Beccia, and Dr. Alon Kaufman, led by moderator Dr. Melanie Garson, will bring strategic, operational, and technical perspectives on how nations can maintain strict control over data and models while collaborating securely with trusted partners.
They will explore the emerging architectures, governance models, and data-in-use protection technologies that make secure joint analytics and AI missions possible without compromising national autonomy.
Takeaways:
Why digital sovereignty is becoming a foundational requirement for defense organizations.
How emerging data-in-use and Confidential Computing technologies enable secure collaboration across borders.
What sovereign-to-sovereign interoperability will require in the next decade of allied operations.

NATO Sovereign Cloud  Beyond Borders - Digital Sovereignty and Secure Collaboration in Defense

In this episode of PETs in Practice, we explore how organizations are using PETs to work with sensitive data without slowing down innovation. Our guests, Inabit, break down how TEEs are protecting high-value blockchain operations.

Real-World PETs: How Inabit Secures Digital Assets with Confidential Computing

As federal and homeland security agencies operationalize AI under new mandates, they face higher stakes than any other sector: safeguarding mission-critical data, defending against adversarial threats, and ensuring compliance in complex regulatory environments.

Join Admiral Mike Rogers (Former Director, NSA & Cyber Command) and Richard Spires (Former CIO, DHS & IRS) as they share practical insights from the front lines of federal operations. This session will explore how AI can both strengthen and challenge mission resilience and what leaders must do today to ensure AI adoption builds trust, security, and agility across government.

From simple automation wins to advanced mission applications, our speakers will address how agencies of all sizes can responsibly harness AI while protecting privacy and meeting compliance demands.

- Understand the unique vulnerabilities of DHS, DoD, and homeland missions and how AI adoption can mitigate or magnify them.
- Learn how agencies can safely integrate AI while maintaining compliance with evolving federal mandates.
- Hear real lessons learned from implementing AI in mission-critical environments.
- Explore how both large and smaller agencies can leverage AI, from simple automation to advanced mission intelligence.
- Gain actionable insights on building trust, resilience, and privacy protections into every stage of AI deployment.

Federal AI Readiness

Former Intelligence Community and DoD expert Wes Doebler joins Duality Technologies to reveal how data silos and lack of trust hinder agencies fighting smuggling, trafficking, and tax evasion. Learn how privacy-enhancing technologies enable secure, high-trust collaboration across borders—and why this is critical in the age of AI.

Breaking Down Borders: Secure Intelligence Collaboration to Combat Transnational Threats

AI in Government: Why Cybersecurity Must Come First
As federal agencies accelerate their AI adoption strategies, cybersecurity should be the top priority. Adversaries are already leveraging AI to launch faster, more advanced attacks - from phishing to disinformation - and the government must respond with AI-driven defenses, automated threat hunting, and real-time response capabilities.
Beyond cybersecurity, AI has transformative potential in public health, infrastructure, and national security. But realizing that potential requires agencies to overcome long-standing barriers to data and model sharing. Moving from a “need to know” to a “responsibility to share” culture - supported by clear governance and technical safeguards - is essential.
Privacy-enhancing technologies (PETs) like secure multiparty computation, homomorphic encryption, and federated learning are key enablers. They allow agencies to collaborate securely on sensitive data while protecting civil liberties. Companies like Duality Technologies are leading the way, helping the government balance innovation, compliance, and public trust.
Topics covered:
Cybersecurity as the leading AI use case


Applications in health, weather, and infrastructure


Breaking down barriers to interagency data/model sharing


Using PETs to enable secure AI collaboration


Building trust with privacy-first systems

How Government Can Responsibly Adopt AI at Scale

In this wide-ranging talk, Admiral Mike Rogers, former intelligence and cybersecurity leader, outlines how AI adoption in government will parallel — and at times diverge from — the private sector. He explores AI's potential across national security, R&D, malware prediction, and bureaucratic efficiency, while emphasizing the unique challenges of data protection, collaboration, and trust in democratic institutions. Tools that enable secure, privacy-preserving data sharing will be critical to unlocking AI’s full value without compromising public accountability. Duality is highlighted as one of the companies addressing this friction.
Transcript

In this kickoff episode of the Doctor Tech podcast, Duality Technologies VP of Strategy Ronen Cohen joins to explore the rise of Privacy Enhancing Technologies (PETs). From homomorphic encryption and federated learning to secure AI workflows, Cohen unpacks how Duality empowers governments and enterprises to collaborate on sensitive data—without compromising privacy, security, or compliance. With real-world examples spanning cancer research, fraud detection, and national security, this conversation reveals why PETs are no longer niche, but foundational to the future of responsible AI and data use.

Dr Tech #1 Enhancing Data privacy, with Duality Technologies

This webinar explored Duality Agents, an innovative framework that transformed collaborative research with AI. Attendees discovered how these intelligent, agent-based assistants acted as personal research partners, streamlining complex analyses, generating insightful reports and uncovering new patterns—all through simple English commands.

It also highlighted how Duality's advanced privacy-preserving technologies ensured that sensitive data remained encrypted and secure throughout every AI-powered workflow, guaranteeing no data leakage. The session revealed how the power of AI could be leveraged to achieve deeper insights without compromising privacy. 

During the webinar, attendees learned how Duality Agents can:

Automate repetitive research and reporting tasks

Keep all data encrypted and compliant—always

Translate plain-English questions into real-time insights

Understand data and recommend relevant analyses

Unlock AI-Powered Insights Without Compromising Data Privacy

AI is transforming healthcare by uncovering powerful insights from vast datasets - but privacy concerns and regulatory challenges often limit its full potential. How can government healthcare organizations collaborate on AI-driven initiatives while ensuring data security and compliance? 

Join us for an exclusive webinar exploring Privacy-Enhancing Technologies (PETs) like confidential computing, federated learning, and homomorphic encryption - solutions that enable institutions to train AI models on sensitive patient data without compromising privacy.

During this webinar, attendees will learn:

- Strategies for overcoming implementation challenges
- How PETs are revolutionizing AI applications in healthcare
- The future of AI-powered, privacy-preserving healthcare collaboration
- Real-world use cases in disease research, predictive analytics, and public health

Don't miss this opportunity to gain expert insights into cutting-edge AI technologies that are shaping the future of healthcare!

Enabling AI-Driven Healthcare Collaboration with Privacy Technologies

New laws and standards around the world are defining responsible, secure, and trustworthy AI (E.g., USA - EO on AI, NIST Gen AI, UK AI Act, EU AI Act, etc.). This webinar will discuss the impact of recent developments and trends on corporate data and AI strategies as well as the role of PETs in these new regulations and frameworks.

Learn how regulators and business leaders are embracing new technologies to accelerate growth while satisfying modern data and AI regulations.

- Regulatory Overview
- The merger of data, AI, and sec ops
- What regulators are recommending
- How new privacy technologies (PETs) satisfy regulations & accelerate growth

ABOUT THE PANELISTS:

*Daniel J. Weitzner* is the Founding Director of the MIT Internet Policy Research Initiative, holds the 3Com Founders Senior Research Scientist chair at the MIT Computer Science and Artificial Intelligence Lab, and teaches Internet public policy in MIT’s Electrical Engineering and Computer Science Department. Weitzner was the US Deputy CTO for Internet Policy in the White House, leading initiatives on privacy, cybersecurity, copyright, and digital trade policies promoting the free flow of information. 

*Paul Comerford* is a Principal Technology Adviser at the UK Information Commissioners office (ICO). The ICO is responsible for regulating data protection law (and other laws). Paul previously worked in academia as a lecturer in Computer Networks and Cyber security. Since joining the ICO in 2018, he has led the development of UK GDPR guidance on anonymisation, pseudonymisation, and was the lead author of ICO PETs guidance published in 2023.

*Caroline Louveaux* is the Chief Privacy & Data Responsibility Officer for Mastercard driving Privacy and Data Responsibility Strategy; leading the global teams responsible for privacy, data and AI governance, in terms of legal compliance, policy and regulatory engagement as well as data management, governance and platforms.

AI & Data Regulations: Key Insights, Strategies, & Technologies for Growth

"How can we customize models on sensitive client data that we can't have while protecting our model IP?"

Today, we'll show you how our Confidential AI solution operationalizes advanced technologies and techniques (confidential computing, federated learning) into a plug-and-play software solution that AI and data teams can trust, and use.

Many organizations today have been developing proprietary models (e.g., risk models, predictive models) that are useful in guiding internal decisions and improving client services. Today, these clients are demanding customized models using their sensitive enterprise data.

Unfortunately, traditional methods of protecting data and software aren't enough to turn this demand into a new, scalable stream of revenue.

Join us as we discuss and show how our clients are accelerating time to market for ML/AI focused initiatives.

Protect the data. Protect the model. Leap ahead of the competition.

How to Customize Models for Clients, Securely

Governments around the world share a common goal: make better use of data by increasing data sharing while increasing data protections.

The traditional means of satisfying regulations and agency policies are typically done with checkpoints to anonymize or otherwise obfuscate both the data and the use of the data. These traditional methods strain budgets, slow progress, and limit the accuracy of data insights.

Instead, Duality offers quantum-secure data guardrails that accelerate and grow the speed and scale of sensitive data operations while also eliminating as much as 90% of costs for high-security environments.

This means faster and greater collaboration across agencies, with coalition partners, and streamlined use of PAI/CAI while maintaining Operatonal Security.

The Key to Digital Transformation: Privacy-by-Design

The practical applications of privacy technologies today go far beyond compliance and ethics. While those things are important, PETs will unlock massive growth potential for today’s data-driven and AI economies.


AI is about as disruptive as a technology gets. Behind the tremendous amount of benefits that can be achieved with AI, lies significant risk–and world leaders and regulating bodies are working hard to find answers to difficult questions. Theory aside, we have real methods for responsible AI model development and training available today. For many organizations, the first challenge in AI development is data acquisition and governance. Data quality, diversity, and volume is critical throughout the AI SDLC and extends into monetization when customizing models for clients. In this webinar, we’ll discuss how privacy technologies are being operationalized to fill risk gaps in the wake of AI, enabling greater growth at the same time.


- Why the Imperative around privacy? Ethics, growth, regulation? 

- How do PETs unlock growth? Examples?

- How is AI reshaping the roles of security, privacy, and data experts in business growth strategies?

- How to find solutions to unlock growth in AI and future proof data compliance


Join our esteemed panel as they share and discuss expertise in AI, Data, Privacy, and Regulations.

Unlocking Growth in AI and Data with Privacy Technologies

Duality's Zero Footprint Investigation and Intelligence solutions utilizes fully homomorphic encryption to satisfy cross-border and cross-domain data sharing security, privacy, and legal obligations by default. This solution greatly benefits those needing answers to questions from 3rd party, sensitive data sets: KYC, AML, investigations, intelligence activities. Learn how it works from system requirements to setup and use.

This session includes:
- Overview of common use cases
- Infrastructure requirements
- Data set support (structured and unstructured)
- Demo explaining and showing how it works
- Q&A

Tech Talks: Zero Footprint Investigations & Fully Homomorphic Encryption (FHE)

Use AWS Nitro Enclaves and Duality’s Privacy Protected AI Solution to futureproof, secure, and scale data acquisition for model development, tuning, testing, and customization while protecting model IP and maintaining the privacy of data inputs.

The recent executive order from the US Whitehouse and the current NIST RFI for guidelines in developing and using AI securely while maintaining the privacy of data inputs have raised many questions. Fortunately, the combination of AWS’s Nitro Secure Enclaves with Duality’s Privacy Protected AI Solution provides critical answers to tough data questions facing AI Engineering Teams: How do we acquire data at the scale and diversity needed to move models quickly to production? How can we collaborate with 3rd parties to validate and tune our model on real data versus mock or synthetic data? How do we coordinate with data from multiple parties? How do we prove to clients that our model is valuable to them? How do we do all that while protecting our IP and the privacy of data?

Join Duality’s Head Data Scientist and AI Engineer, Zohar Duchin, and Sr Partner Solution Architect, Ashok Mahajan of AWS, to hear how this joint solution can help AI Engineering teams overcome data acquisition, training, inference, customization, and monetization challenges while protecting model IP and the privacy of data inputs.

Accelerate AI Development with Privacy Protected AI Collaboration

We have collaborated with industry experts to create a new, exclusive webinar that unpacks the fundamental need for, and challenges that surround, data in the global fight against financial crime.

In this webinar, expert speakers delve into public and private sector organisations’ need for data to turn the tide against financial crime, as well as the challenges that surround acquiring this data as a result of privacy regulation, data regulation, and operational security concerns.

These range from acquiring and collating it to extracting meaningful insights without exposing the subjects of inquiries to third parties, and from collaborating with multiple stakeholders to ensuring that privacy and data security are maintained, especially where sensitive data is concerned.

Financial Crime Risk: Balancing Data Needs and Privacy Concerns

Analysts and investigators in law enforcement, intelligence, and national security benefit by utilizing publicly available and commercial datasets to conduct investigations of many types. However, the sensitivity of both the investigation and the data required pose challenges. The first being that the subject of the investigations must remain 100% private and confidential, without having to “trust” any vendors or infrastructure. This ends up forcing the public sector to purchase, store, and protect large amounts of sensitive data - even if it is not directly pertinent to a given investigation. The risk, lift, and expense of such a workaround is the second challenge. The result is that such datasets aren’t utilized as much as they should, which negatively impacts investigation, risk awareness, and national security outcomes. 

Attendees of this webinar will learn:
- Common challenges in conducting investigations on commercial data
- How to achieve zero footprint investigations with privacy enhancing technologies
- Additional benefits and getting started

Accelerate Government Investigations & Screenings with Duality

Duality Tech Talks

Learn how Mastercard has taken the lead in effective anti Fraud, KYC, and AML efforts with a privacy protected workflow via Duality (as published by the IMDA).

Fighting financial crimes is a data game. Crime fighters need answers quickly and must ensure their investigations remain confidential, as not to leak their progress to suspected organizations or individuals. However, criminals continue to evade authorities and slip through the cracks despite efforts around KYC and AML.

Why? Because data protection requirements slow and limit what data can be shared, and with whom. The criminals know this and hide behind our own processes, and they're winning.

However, those hindrances are eliminated when advanced encryption for data in-use is operationalized into these processes. 

The result is a near-instant, self-service means of gathering and using information instead of waiting for weeks or months for an answer about a transaction, identity, or other.

See how Mastercard and other financial institutions have upleveled their internal KYC and AML efforts while also improving their response time when collaborating on government investigations.

Workloads shown: secure query (all data types)
Workloads discussed: query, analytics, machine learning
Technologies used: fully homomorphic encryption (FHE), confidential computing, federated learning
Solution shown: Zero Footprint Investigations
Solutions discussed: Confidential AI & Zero Footprint Investigations

Tech Talks: A Modern Approach to Fighting Fin Crimes: Fraud, KYC, & AML

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Tech Talks: A Modern Approach to Fighting Fin Crimes: Fraud, KYC, & AML

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Duality Technologies