Lance Morginn

Forensic methods have improved, and agencies and cybersecurity firms have learned to identify the people behind wallet addresses.

• Crypto mixers and transaction layering aim to obscure a trail, but analysis firms look for common spending patterns and address recycling.
• Morginn identifies conversion into traditional currency as the point where detection becomes likely: exchanges working with law enforcement can freeze accounts and assist wider inquiries.

Morginn compares a transaction to a digital signature: each transaction and fund transfer leaves a trail that, analysed with the right tools, can point to the person responsible.

Two posts carry the same explanation, changing only the opening line. Together, they read as a settled position rather than an argument still taking shape.

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A fine can hit asset prices on the day it is announced, while reputational damage deters partners and can prompt accusations of facilitating money laundering, terrorism or proliferation financing.

• They also cite lost productivity and the labour cost of screening alerts amid high false-positive rates, arguing that data-led, machine-learning screening reduces that burden.
• Cross-border rules matter too, including the U.S.
• BSA and the EU's AMLD5.

Morginn cites specific incidents: the SEC filing against Kik Interactive produced a -41.6% same-day drawdown; securities fraud charges against Centra Tech's co-founders sent the coin down 60% in five hours; and BitMEX's AML failures cut BTC open interest on its platform by 21% within 24 hours, with recovery taking three months. They add a traditional-finance comparison: in 2018, non-compliance costs ran three times higher than compliance costs.

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Transaction trails support real-time incident response, attribution of illicit actors, mapping criminal networks and corroborating other data sources, strengthening seizures and asset recovery.

• An aggregated view of billions of transactions can also give regulators a macro picture of crypto usage to shape priorities and resource allocation.
• Real-time transaction monitoring can help seize assets before they disappear.

Morginn writes that analytics tools peel back pseudonymity to reveal links to scams, ransomware, illicit markets and money laundering. They invite readers to understand and use blockchain data to help build a safer digital world.

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They say they are not part of law enforcement and do not carry a badge, but argue that the company's tools have contributed to agencies' efforts.

• They point to human outcomes: investors' funds recovered, frauds stopped and people harmed by romance and investment scams whom they met—encounters they say affected them.
• They credit clients, employees and partners with improving the services and advancing the company's market recognition.

Morginn writes that they spent more than an hour with the CIO of the U.S.

• Secret Service and visited agency buildings in several countries.
• They mark six years of BIGG Digital Assets as a publicly traded company, alongside nine years of Blockchain Intelligence Group's operations.

This is the only post in the set with a personal, reflective register; the others make analytical arguments aimed at a professional audience.

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Lance Morginn marks two milestones: six years of BIGG Digital Assets as a publicly traded company and, each January, nine years of Blockchain Intelligence Group operating.

• The post focuses on how the tools are used.
• They write that they do not carry a badge, but that the company's tools have helped law enforcement recover investors' funds and apprehend people preparing new frauds.
• They also say they have spent more than an hour with the CIO of the U.S.
• Secret Service and visited agency buildings in several countries.
• The work, they write, has brought them face to face with people harmed by romance and investment scams.
• They thank clients, employees and partners for improving the services.

For brands planning a campaign

For engagements with public-sector or law-enforcement-adjacent buyers, this post establishes a public-company track record and direct agency exposure. It offers an institutional narrative, not a method demonstration: use it as credibility evidence, not proof of analytical approach.

The post makes the cost of non-compliance concrete.

• For traditional finance, it cites 2018 figures showing non-compliance costs ran three times higher than compliance costs.
• For crypto, it names three incidents: the SEC filing against Kik Interactive produced a 41.6% same-day drawdown; securities fraud charges against Centra Tech's co-founders sent their coin down 60% in five hours; and BitMEX's AML failures cut BTC open interest on its platform by 21% within 24 hours, with a stated three months to recover.
• The post also points to reputational damage and adverse media, which can deter partners and invite accusations of facilitating money laundering, terrorism or proliferation financing.
• It notes that cross-border rules such as the U.S.
• BSA and EU AMLD5 matter in their own right, while high false-positive rates drive up labour costs—costs that data-led machine-learning screening can reduce.

For brands planning a campaign

This is the most directly reusable material for a digital-asset regulatory-risk brief: specific drawdown and open-interest figures can anchor a risk memo or board slide, while the false-positive argument offers a concrete efficiency pitch. The post is argumentative and illustrative; trace any figures to their original sources before reusing them.

A second post repeats this text almost verbatim, changing only the opening line to "Believe your crypto transactions are untraceable?

• Think again."
• Treat the two as one example.

The post explains why pseudonymity is not anonymity.

• Forensic methods have improved, and agencies and cybersecurity firms have honed techniques for identifying the people behind wallet addresses.
• Analysis firms counter obfuscation tactics such as crypto mixers and transaction layering by looking for common spending patterns and address recycling.
• The central image is a digital signature: every transaction and fund transfer leaves evidence that can point to a responsible party when analysed with the right tools.
• The stated endpoint is conversion into traditional currency, where exchanges working with law enforcement can freeze accounts and support wider investigations.
• The post invites discussion in the comments.

For brands planning a campaign

Useful for setting out what a forensics-led engagement can promise and where it stops: tracing relies on pattern analysis and the fiat off-ramp, not magic. For a compliance officer, it maps the practical dependencies—exchange cooperation and law-enforcement relationships—that determine whether an investigation succeeds.

The post pitches blockchain data to law enforcement, private investigators and exchanges.

• It argues that blockchain transparency supports real-time incident response, attribution of illicit actors, mapping of criminal activity and corroboration with other data sources—strengthening seizures, asset recovery, policy-making and impact assessment.
• Analytics tools, it says, can peel back pseudonymity to reveal links to scams, ransomware, illicit markets and money laundering.
• A second strand focuses on policy: an aggregated view of billions of transactions offers a macro picture of crypto usage that can inform regulatory priorities and resource allocation.
• The post closes by inviting readers to understand and leverage blockchain data to build a safer digital world.

For brands planning a campaign

Shows how they frame the value proposition for public-sector and policy audiences, relevant to engagements involving regulators, exchanges or asset recovery. This is a positioning piece, not a case study; use it to support a capability pitch, not as evidence of a specific investigation outcome.

Across two posts, they walk through the same chain of reasoning: forensic methods have improved, analysis firms can spot common spending patterns and address recycling, and mixers or transaction layering only slow investigators down. They use a plain analogy — every transaction is like a digital signature left behind — and point to the moment funds convert to traditional currency as the point where exchanges and law enforcement can freeze accounts.

Opens with a direct challenge to the reader's assumption ('Assumed your crypto activity was off the radar?'), then moves step by step from the misconception to the investigative method and closes with an invitation to discuss in the comments.

For brands planning a campaign

A strong fit for compliance, AML, and investigations audiences who need the traceability case made in plain language rather than jargon. A brand could use this as the backbone of an explainer on transaction monitoring or have Morginn open a webinar by correcting the anonymity assumption before a product or process demo.

Examples: Source 1 · Source 2

They also separate the visible hit from slower costs — reputational damage, lost partnerships, productivity loss, and the labour burden of high false-positive rates — and argue that data-led, machine-learning screening reduces that burden.

Contrasts traditional finance with crypto, stacks named enforcement cases with numbers, then argues that compliance spending protects reputation, productivity, and revenue.

For brands planning a campaign

Useful for a consultancy or compliance-platform pitch aimed at exchanges and fintechs, because it frames compliance as revenue and reputation protection rather than a fine to be dodged. A brand could build a case-study series or a cost-of-inaction asset around these price and liquidity examples, with Morginn supplying the market-risk framing.

Examples: Source 1

Morginn lists what public investigators, private investigators, and exchanges can do with the data: real-time incident response, attributing illicit actors, mapping criminal networks, corroborating other data sources, and supporting seizures and asset recovery. They add a policy angle: an aggregated view of billions of transactions gives regulators a macro picture of usage trends that can shape priorities and resource allocation.

Frames blockchain data as a tool that can be turned against illicit activity, groups its uses for three audiences — law enforcement, investigators, and exchanges — then extends the discussion to policy and risk management.

For brands planning a campaign

A natural entry point for public-sector, policy, and law-enforcement-adjacent audiences, where the value proposition is intelligence and asset recovery rather than a product feature. Brands selling analytics, forensics, or RegTech tooling could sponsor a longer-form brief or roundtable built on this frame.

Examples: Source 1

Morginn marks six years of BIGG Digital Assets as a public company and nine years of Blockchain Intelligence Group, and describes the work in human terms: tools that helped recover investors' funds and stop frauds, meetings with agency figures including the CIO of the U.S.

• Secret Service, and encounters with victims of romance and investment scams.
• They credit clients, employees, and partners for the company's market recognition.

A personal retrospective: company milestones, the human outcomes the tools supported, then explicit thanks to clients, employees, and partners.

For brands planning a campaign

Read this post before approaching Morginn about a corporate anniversary, trust-and-safety theme, or victim-protection angle. They speak from mission and relationships rather than metrics, so a campaign with genuine customer or agency context will land better than one built on follower counts.

Examples: Source 1

They note they are not in law enforcement and carry no badge, contrasting their own role with that of the agencies their company's tools support. The post names no job title.

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Secret Service, visited numerous agency buildings worldwide, and that their company’s tools have contributed to law-enforcement efforts to recover investor funds and apprehend fraudsters. The post describes engagement with the agency, not a contract, sponsorship or client relationship.

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Shetret focuses on bank education and upskilling, covering CEX versus DEX, attack methods, and standards such as ISO 27001 and SOC 2. Morginn focuses on blockchain forensics and law-enforcement investigations.

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Elshafei's posts include an industrial battery career retrospective, while their blockchain writing surveys broad use cases such as NFTs and supply-chain tracking rather than compliance or forensics.

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Esteve focuses on traditional finance, covering Big Four audit liabilities and bank money-laundering cases, while Morginn focuses on crypto and blockchain investigations.

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The posts address the OCC interpretive letter allowing national banks to hold limited crypto for gas fees and operational testing, and outline risk and compliance controls, de minimis limits, and the difference between experimentation and speculation.

• They come from a vendor setting that partners with banks on knowledge-sharing sessions covering crypto risk exposure, risk appetite, compliance boundaries and threat vectors including insiders, social engineering and smart-contract flaws.
• For a FinTech compliance officer seeking help to build policies, train staff and map crypto risk against traditional banking controls at a bank or bank-adjacent firm, Shetret is a stronger match than Morginn for the workshop-and-policy task.

The tradeoff is less emphasis on blockchain forensics and tracing.

• The posts discuss crypto risk exposure and compliance programs, but not wallet-level tracing mechanics, mixer analysis or the enforcement-cost argument Morginn makes.
• For investigations into illicit flows, address de-anonymization or how exchanges freeze funds, Morginn's tracing posts are more directly applicable.
• Shetret's posts reference Elliptic's bank partnerships and training programs; buyers seeking independent advice should clarify whether the engagement would be vendor-aligned or neutral.

Examples: Source 1 · Source 2

The posts cover blockchain use cases beyond crypto prices — NFTs for artists and musicians, supply-chain tracking, healthcare data, DeFi lending, real-estate tokenization, digital voting and identity verification — and a later post reflects on lithium battery adoption in industrial equipment, OEM approvals and industry relationships.

• For a campaign seeking a general blockchain educator or a connector across technology and industrial sectors, Elshafei offers an alternative.
• For the same compliance-officer need, Elshafei could provide a high-level blockchain explainer for a non-specialist audience.

For a consultancy on regulatory risk in digital assets, Elshafei's posts offer less directly applicable detail on compliance, AML and forensics mechanics, named enforcement cases or bank regulatory interpretation than Morginn's.

• The blockchain post is a broad use-case survey, and the other post is about industrial lithium batteries.
• Buyers seeking specific, testable advice on screening, false positives, tracing or regulatory penalties would find Elshafei a better fit as a general awareness voice than as a compliance-risk specialist.

Examples: Source 1 · Source 2

The posts analyze EY's £188mn provision for fines and legal claims, the Big Four's resilience to adverse media, and UBS's dismissal of a Swiss money-laundering case tied to the Mozambique 'tuna bond' scandal, including the continuing prosecution of a former Credit Suisse compliance officer.

• For a compliance officer seeking explanations of regulatory penalties, reputational risk and personal liability, and lessons from bank and audit failures, Esteve's writing is directly relevant.
• Esteve is a better match than Morginn when the need is enforcement risk, liability and traditional-finance compliance culture rather than blockchain forensics.

The tradeoff is narrow digital-asset specificity.

• The posts address traditional finance and audit compliance, money laundering and legal liability, but not crypto tracing, wallet analysis, exchange AML failures or blockchain-specific regulatory guidance.
• For explanations of blockchain analytics or how exchanges handle suspicious activity, Morginn's tracing posts are more suitable.
• Esteve is the stronger alternative for the legal and liability side of compliance risk; buyers seeking blockchain mechanics should ask for relevant examples.

Examples: Source 1 · Source 2