Fighting Crypto Crime with AI: The Future of Digital Investigations

A candid conversation with Lili Infante, Founder and CEO of Cat Labs, on cryptocurrency-enabled crime, blockchain investigations, AI-powered forensic analysis, digital asset recovery, evidence management, and why organizations need new approaches to securing cryptocurrency assets.

FEATURED GUEST

Lili Infante

Why this conversation matters now

This episode addresses the questions many leaders are asking as cryptocurrency changes financial crime investigations, evidence handling, asset recovery, and the way agencies manage digital assets.

01.

How do investigators trace cryptocurrency transactions?

02.

What happens when crypto assets are hidden inside seized devices and digital evidence?

03.

How can AI help analyze petabytes of investigative data?

04.

What risks exist when government agencies handle cryptocurrency evidence?

05.

How can organizations reduce insider threats when dealing with digital assets?

06.

What role will cryptocurrency play in the future of financial crime investigations?

What you'll learn in this episode

After unlocking the full podcast, you’ll get expert insights on cryptocurrency investigations, digital evidence, AI, and asset recovery.
01.

How cryptocurrency changed the economics of financial crime

02.

Why blockchain investigations require both on-chain and off-chain analysis

03.

How investigators uncover crypto assets hidden within seized evidence

04.

Why AI is becoming essential for large-scale forensic investigations

05.

How insider threats can emerge when agencies manage digital assets

06.

Why zero-trust approaches matter for digital evidence management

07.

How governments can improve cryptocurrency seizure and recovery processes

Who this episode is for

Government and law enforcement leaders Cybersecurity and digital forensics professionals Financial crime investigators Technology and innovation leaders GovTech and startup founders Compliance and risk leaders Teams managing large-scale data and evidence workflows

Our host

JocelynHoule

Jocelyn Byrne Houle

AI and data product leader

Jocelyn Byrne Houle is an AI and data product leader, entrepreneur, and investor who has built and scaled transformative technology initiatives across finance, cloud governance, and AI security. She founded Deploy Forward AI to help enterprises adopt AI with strong governance, operational discipline, and long-term organizational ownership.

A preview of the key takeaways

01.

Cryptocurrency crime investigations have evolved significantly

Lili explains that cryptocurrency was once closely associated with dark web activity, but investigators now encounter digital assets across a much broader range of criminal and civil cases.

02.

The biggest challenge is often hidden inside the data

Phones, laptops, cloud accounts, communications platforms, and digital evidence can contain traces of cryptocurrency ownership. Finding those traces manually becomes harder as evidence volumes grow.

03.

AI helps investigators focus on what matters

AI can help classify, prioritize, contextualize, and identify evidence that may contain cryptocurrency artifacts or recovery opportunities.

04.

Digital asset evidence introduces new risks

Cryptocurrency can potentially be accessed by anyone who obtains private keys. This creates unique chain-of-custody, governance, and insider threat challenges.

05.

Technology alone is not enough

Successful digital asset recovery requires both technology and policy, including clear procedures, centralized repositories, access controls, and governance frameworks.

Why tkxel is hosting this conversation

 At tkxel, we work with growing businesses navigating AI adoption, cybersecurity, data engineering, cloud modernization, software modernization, and emerging technology challenges.

This episode is especially relevant for leaders exploring how AI, automation, governance, and data intelligence can solve complex operational problems in regulated environments. 

Key concepts covered in this podcast

1

Cryptocurrency-enabled crime

Explains how digital assets are changing financial crime, fraud, money laundering, and investigation models.

2

Blockchain investigations

Covers how investigators trace transactions across wallets, exchanges, and digital asset networks.

3

Digital asset recovery

Shows how agencies can identify, recover, and secure cryptocurrency hidden within seized evidence.

4

AI-powered forensic analysis

Explores how AI helps teams analyze large volumes of devices, communications, files, and cloud data.

5

Digital evidence management

Looks at why evidence workflows need stronger controls when cryptocurrency assets may be involved.

6

Insider threat and chain of custody

Covers why access control, accountability, and secure handling are critical for digital asset evidence.

7

Government technology innovation

Explains what founders and technology teams can learn from building mission-driven products for public sector users.

Frequently Asked Questions (FAQs)

Is this episode only for government agencies? Expand FAQ Collapse FAQ
No. While many examples focus on law enforcement and public sector use cases, the lessons around AI, digital forensics, data management, cybersecurity, and asset recovery apply across industries.
What do I get after filling out the form? Expand FAQ Collapse FAQ
You get access to the full podcast episode and transcript.
What is the core focus of the episode? Expand FAQ Collapse FAQ
The core focus is cryptocurrency investigations, digital asset recovery, blockchain forensics, AI-powered evidence analysis, and government technology innovation.
Why is the podcast gated? Expand FAQ Collapse FAQ
It is positioned as a premium resource for leaders researching cryptocurrency, cybersecurity, digital investigations, AI applications, and emerging technology adoption.
Can this help organizations managing large-scale data challenges? Expand FAQ Collapse FAQ
Yes. The episode provides useful insights into AI-driven analysis, evidence management, data governance, automation, and operational scalability.

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