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In this whitepaper we covered all the aspects that you need to be aware of about smart contract security audits.

Smart Contract Audit

**KYC verifies identity. AML prevents financial crime over time.**

KYC is a required component of AML compliance, but AML is broader, ongoing, and applies across the entire organization, including customers, teams, and high-risk counterparties.

Put simply, KYC (know-your-customer) establishes identity, while AML (anti-money laundering) governs how that identity is monitored and managed over time.

### Quick Reference: KYC and AML Basics

* KYC focuses on identity verification and ownership clarity.
* AML focuses on monitoring behavior and preventing illicit activity over time.
* AML includes KYC, but KYC alone does not satisfy AML obligations.
* Customer KYC and team KYC serve different risk purposes, but both support AML compliance.

## What is the Difference Between KYC and AML Compliance?

KYC and AML are closely related compliance concepts, but they serve different purposes.

**Know Your Customer (KYC)** focuses on identifying and verifying identity. Depending on context, this may apply to customers, businesses, founders, or key individuals with control or access.

**Anti‑Money Laundering (AML)** refers to the wider compliance framework designed to prevent money laundering, terrorist financing, and related financial crimes. AML uses KYC data, alongside transaction monitoring, risk assessment, and reporting obligations, to detect and prevent illicit activity.

In simple terms, KYC is an input. AML is the system that uses it. In banking and other regulated financial services, KYC and AML form the foundation of compliance and risk management controls.

## AML vs KYC: Key Differences Explained

T﻿hese are the key differences between KYC and AML:

| **A﻿spect**      | **K﻿YC**                                              | **A﻿ML**                                  |
| ---------------- | ----------------------------------------------------- | ----------------------------------------- |
| Primary purpose  | V﻿erify identity                                      | P﻿revent financial crime                  |
| S﻿cope           | I﻿ndividual customers, businesses, or key individuals | O﻿rganization-wide                        |
| T﻿iming          | O﻿nboarding and periodic refresh                      | C﻿ontinuous and ongoing                   |
| R﻿egulatory role | C﻿omponent of AML                                     | O﻿verarching compliance framework         |
| D﻿ata used       | I﻿dentity, ownership, and data control                | B﻿ehavioral, transactional, and risk data |
| K﻿ey question    | W﻿ho is this person or entity?                        | I﻿s this activity suspicious or risky     |

## Is KYC Part of AML?

Yes. KYC is a foundational element of AML compliance.

AML frameworks rely on KYC to establish identity, ownership, and baseline risk. Without KYC, it’s not possible to apply effective transaction monitoring or risk‑based controls.

However, completing KYC alone does not make an organisation AML compliant. AML obligations continue for the duration of the relationship and extend far beyond onboarding. 

Together, KYC and AML checks combine identity verification with ongoing monitoring to detect and prevent financial crime.

## How the KYC Process Works in AML Compliance

KYC is typically applied at defined moments, rather than continuously.

### KYC in practice (step-by-step)

The KYC process is primarily concerned with identity and risk context. It typically takes place during onboarding, with updates required when circumstances change.

![KYC (Know Your Customer) definition graphic explaining identity verification, risk assessment, and activity monitoring for AML compliance, shown with a user ID and shield icon on a blue background.](https://firebasestorage.googleapis.com/v0/b/cyberscope-90197.appspot.com/o/blog%2Fbucket%2F1769437930155-KYC.webp?alt=media)

### 1. Identification

Relevant individuals or entities provide identifying information such as names, addresses, dates of birth, or incorporation details.

### 2. Verification

This information is verified using reliable, independent sources, such as official records or trusted data providers.

### 3. Risk assessment

A risk level is assigned based on factors such as geography, ownership structure, role, access, or exposure to sanctions and politically exposed persons.

### 4. Ongoing review

Information is periodically reviewed to ensure it remains accurate and appropriate as risk evolves.

KYC establishes who is involved and the baseline level of risk. It does not, by itself, identify suspicious behavior or evolving financial crime patterns.

## What Does the AML Compliance Process Look Like?

AML operates continuously across the lifecycle of a relationship. It’s an ongoing compliance system rather than a one‑time check. AML verification involves validating customer activity, transaction patterns, and risk indicators against expected behavior.

![AML (Anti-Money Laundering) definition graphic describing rules and processes to detect, prevent, and report financial crime, shown with an AML magnifying glass icon on a blue background.](https://firebasestorage.googleapis.com/v0/b/cyberscope-90197.appspot.com/o/blog%2Fbucket%2F1769438080031-AML%20(1).webp?alt=media)

### 1. Risk‑based framework

Organisations define risk thresholds based on customer types, products, jurisdictions, and transaction patterns.

### 2. Monitoring

Activity is monitored to identify unusual or suspicious behavior, such as large transfers, sudden changes in activity, or exposure to high‑risk jurisdictions.

### 3. Investigation and escalation

Flagged activity is reviewed to determine whether it represents legitimate activity or potential financial crime.

### 4. Reporting

Where required, suspicious activity is reported to the appropriate authorities.

### 5. Continuous refinement

AML controls are updated as risks, behavior, and regulatory expectations change.

AML answers questions that KYC cannot, particularly how behavior evolves over time and whether activity aligns with an established risk profile.

## How KYC and AML Work Together

KYC and AML are most effective when applied as a sequence rather than isolated checks.

1. **Onboarding and identity verification:**\
   KYC establishes who the individual, business, or team member is and who ultimately owns or controls them.
2. **Initial risk profiling:**\
   Identity, geography, role, and exposure are used to assign an initial AML risk level.
3. **Ongoing monitoring:**\
   AML systems monitor behavior, transactions, and changes in activity against the expected risk profile.
4. **Review and escalation:**\
   Unusual patterns are investigated to determine whether they indicate legitimate activity or potential financial crime.
5. **Continuous refinement:**\
   Risk profiles, KYC records, and AML controls are updated as interactions, exposure, or organisational structure changes.

This sequencing is critical in fintech, crypto, and DeFi environments where risk can evolve rapidly.

## KYC and AML Responsibilities by Stakeholder

The practical application of KYC and AML differs depending on who is being assessed and who is accountable for compliance.

| **S﻿takeholder**     | **P﻿rimary Focus**        | **K﻿YC Responsibility**                               | **A﻿ML Responsibility**                                       |
| -------------------- | ------------------------- | ----------------------------------------------------- | ------------------------------------------------------------- |
| C﻿ustomers           | I﻿dentity and legitimacy  | P﻿rovide accurate identity and ownership information  | C﻿onduct activity in-line with expected risk profile          |
| B﻿usinesses (KYB)    | O﻿wnership and control    | D﻿isclose benefitial owners and control structures    | M﻿aintain compliant transaction behavior                      |
| F﻿ounders and teams  | T﻿rust and accountability | V﻿erify identity, background, and role-based exposure | Ensure systems, access, and decisions align with AML controls |
| C﻿ompliance function | R﻿isk oversight           | M﻿aintain accurate and up-to--date KYC records        | M﻿onitor behavior, investigate risk, and report issues        |
| A﻿ML systems         | B﻿ehavioral protection    | U﻿se KYC data as baseline context                     | D﻿etect, flag, and escalate suspicious activity               |

## KYC, CDD, and EDD in Risk-Based AML

KYC enables a risk‑based approach to AML through different levels of due diligence.

**Customer Identification Program (CIP)**\
Basic identity verification.

**Customer Due Diligence (CDD)**\
Standard checks combining identity verification with an initial risk assessment.

**Enhanced Due Diligence (EDD)**\
Additional scrutiny for higher‑risk individuals or entities, which may include deeper verification, source‑of‑funds checks, and closer monitoring.

CDD and EDD are not separate systems. They’re risk‑based extensions of KYC within an AML framework.

## KYC for Customers vs KYC for Teams and Founders

KYC is most often associated with customers. In practice, many organisations must also apply KYC‑style checks to internal teams, founders, and key individuals.

While the mechanics may overlap, the purpose and risk focus differ.

### KYC for Customers

Customer KYC establishes who a customer is and the risk they introduce externally.

It typically covers:

* Identity verification
* Beneficial ownership
* Sanctions and politically exposed person screening
* Jurisdictional and activity‑based risk

Customer KYC provides the baseline identity and risk context used by AML monitoring.

### KYC for Teams and Key Individuals

Team‑level KYC applies to founders, executives, signatories, and others with control, authority, or privileged access.

Its purpose is trust, accountability, and operational readiness, rather than onboarding.

It commonly includes:

* Identity and background verification of founders and executives
* Screening of directors and key personnel
* Role‑based risk assessment tied to access and decision‑making power
* Ongoing review as responsibilities or exposure change

For organisations operating in high‑trust or regulated environments, team KYC is often critical for partnerships, listings, licensing, and institutional engagement.

### Why the Distinction Matters

* Customer KYC addresses external risk.
* Team KYC addresses internal trust and control.

Both support AML objectives, but they answer different questions and are evaluated differently by regulators, partners, and counterparties.

## KYC, KYB, & AML: Compliance Scope Explained

* KYC applies to individuals.
* KYB (Know Your Business) applies to legal entities and their beneficial owners.
* AML governs how identity and activity data are used to prevent financial crime.

KYC and KYB both feed into AML monitoring. AML is the framework that connects identity, ownership, and behavior.

## AML vs KYC in Fintech, Web3, and Traditional Institutions

Regulatory expectations are similar across traditional finance, fintech, and crypto-native organisations, but implementation differs significantly.

### Fintechs

* Automated onboarding
* Faster verification
* Heavy reliance on APIs and third-party data
* Greater sensitivity to false positives

### Web3, Crypto, & DeFi teams

* Pseudonymous users and global access
* Higher exposure to sanctions and jurisdictional risk
* Greater emphasis on team, founder, and control-based KYC
* Strong dependency on KYC for exchange listings, partnerships, and compliance readiness

### Traditional Institutions

* More manual reviews
* Slower onboarding
* Legacy systems
* Stronger documentation trails

Both must meet AML and KYC obligations, but operational trade‑offs vary.

## Common Misconceptions About KYC and AML

* KYC replaces AML. It does not.
* AML is only required at onboarding. It is not.
* Passing KYC means an organisation is compliant. It does not.

Most failures occur when KYC is treated as a checklist rather than a foundation for ongoing AML controls.

## KYC Beyond Onboarding: Teams, Trust, and Compliance Readiness

For teams operating in high‑trust or regulated environments, KYC is not just a compliance task. It’s often a prerequisite for partnerships, listings, licensing, and institutional confidence.

Cyberscope provides KYC services designed for both:

* Customer onboarding, and
* Team and founder verification, where identity, control, and accountability matter as much as documentation.

Our approach focuses on clarity, proportionality, and alignment with broader AML and risk frameworks, helping organisations demonstrate trustworthiness without unnecessary friction.

***For teams thinking beyond onboarding and toward operational scrutiny, talk to us about [KYC](https://www.cyberscope.io/#kyc).***

## KYC & AML for Crypto, Fintech, and Regulated Teams

Understanding the difference between KYC and AML is not only a compliance requirement. For many organisations, it directly affects growth, partnerships, and credibility.

Teams operating in fintech, crypto, DeFi, and other high-trust environments are increasingly evaluated not just on customer controls, but on how clearly they can demonstrate identity, ownership, and accountability at both customer and team levels.

Cyberscope helps organisations apply KYC and AML controls that stand up to real-world scrutiny, from customer onboarding to founder and team verification. [Contact us](https://www.cyberscope.io/#contact) to learn more.

## FAQ: KYC vs AML

### Is there a difference between KYC and AML?

Yes. KYC verifies identity, while AML is a broader framework for preventing financial crime.

### Does KYC come under AML?

Yes. KYC is a core component of AML compliance.

### What are the three types of KYC?

Customer Identification Program (CIP), Customer Due Diligence (CDD), and Enhanced Due Diligence (EDD).

### How is AML different from KYC?

KYC focuses on identity. AML focuses on behaviour and risk over time.

### What are the four principles of KYC?

Identification, verification, risk assessment, and ongoing review.

KYC verifies identity. AML prevents financial crime over time. Learn how KYC and AML intersect, and what compliance looks like in fintech, crypto, and regulated teams.

KYC vs AML: What’s the Difference in Compliance?

# Case Study: Securing clore.ai’s Decentralized AI Compute Marketplace

## Overview

clore.ai is a decentralized marketplace connecting users with distributed GPU compute resources for AI workloads, rendering, and high-performance computing. The platform relies on smart contracts to coordinate payments, resource allocation, and trust between unknown counterparties operating under real-world conditions.

As clore.ai scales and attracts increased economic activity, security becomes a defining factor for adoption. Reliability must hold beyond initial deployment, as usage, value flow, and operational complexity increase.

To validate the resilience of its smart contract infrastructure under these conditions, the clore.ai team partnered with Cyberscope for a comprehensive smart contract audit.

## The Security Challenge

Decentralized compute marketplaces introduce a distinct security profile. Smart contracts do more than enforce business logic. They mediate incentives, permissions, and execution across participants with different risk tolerances and motivations.

In similar platforms, Cyberscope frequently sees risk emerge not from obvious logic flaws, but from assumptions that hold during early usage and testing, then break down as real economic activity and adversarial behavior increase. These risks often surface through subtle edge cases, such as:

* Payment and settlement paths behaving differently under partial execution or load.
* Permissioned functions evolving into long-term control surfaces.
* Trust assumptions around honest participation eroding as the system scales.

For clore.ai, the objective was not simply to confirm correctness, but to ensure that the platform’s security and trust assumptions would continue to hold as adoption grows.

## Why Cyberscope

clore.ai selected Cyberscope for its depth of experience auditing infrastructure-level Web3 systems, including decentralized marketplaces and compute-adjacent protocols, where smart contracts coordinate economic activity between unknown counterparties and failures can have cascading impact.

The team required an auditor capable of going beyond surface-level validation to assess how architectural decisions, permission models, and execution flows behave under real operational conditions. Cyberscope’s engineering-driven methodology and focus on long-term system resilience aligned closely with clore.ai’s approach to platform development.

## Our Approach

Cyberscope conducted a full smart contract audit tailored to the realities of a decentralized compute marketplace.

The review focused on:

* Contract architecture and role separation.
* Payment and settlement logic under non-ideal execution paths.
* Permissioned and administrative functions and their impact on trust.
* Execution flows across user, provider, and system interactions.

Rather than treating the audit as a checklist, the analysis prioritized how these components interact under real-world constraints. Particular attention was given to whether security and trust assumptions would remain valid as usage, value flow, and operational complexity increase, rather than only under ideal deployment conditions.

Findings were documented with clear severity context and remediation guidance, enabling efficient implementation by the clore.ai engineering team.

## Results and Impact

The audit identified two minor issues and no critical or high-severity vulnerabilities. The issues identified were limited in scope and straightforward to remediate, with no indication of systemic architectural weaknesses.

The audit report was made publicly available, reinforcing clore.ai’s commitment to transparency and allowing users and providers to independently assess the platform’s security posture.

## Beyond the Audit: Building Durable Trust

Security does not end at deployment. As part of its broader trust and compliance strategy, clore.ai has initiated a KYC process with Cyberscope, which is currently in progress.

By combining smart contract assurance with identity and operational verification, clore.ai is establishing layered trust across both code and participants. The audit establishes a security baseline that can be re-evaluated as the protocol evolves, rather than a one-time point of validation.

## Looking Ahead

With a strong security foundation in place, clore.ai is positioned to expand its decentralized compute marketplace and support a growing range of AI-driven workloads. By prioritizing proactive security assessment and transparency, the team demonstrates a clear understanding that trust is a prerequisite for sustainable growth.

Cyberscope is proud to support projects that treat security as a continuous discipline rather than a deployment milestone.

***Explore how CyberScope’s [smart contract audits](https://www.cyberscope.io/smart-contract-audit) support security-critical Web3 infrastructure.***

## About Cyberscope

Cyberscope is a blockchain security company specializing in smart contract audits, KYC compliance, and security services for Web3 projects. Trusted by protocols across DeFi, AI, and infrastructure, Cyberscope combines deep technical expertise with clear, actionable reporting.

As part of TAC Security, Cyberscope draws on enterprise-grade threat intelligence to help Web3 teams build resilient systems with confidence.

How Cyberscope audited clore.ai’s decentralized AI compute marketplace to validate smart contract security under real-world usage and scale.

Case Study: Securing clore.ai’s Decentralized AI Compute Marketplace

Trap phishing is a targeted phishing attack that exploits trust, context, and routine rather than technical weaknesses. It’s commonly used to compromise credentials, trigger unauthorized actions, or gain access through impersonation. These incidents are difficult to detect because they’re tailored to specific roles and workflows.

This type of phishing incident is often discussed informally, but in practice, it overlaps with recognized attack types such as spear phishing and business email compromise. Understanding how these attacks work is critical for organizations operating in high-trust environments.

***Security research, including findings from the [Verizon Data Breach Investigations Report](https://www.verizon.com/business/en-gb/resources/reports/dbir/), consistently shows that social engineering plays a central role in successful breaches.***

### TL;DR - Key Takeaways

The main takeaways for businesses assessing trap phishing risk:

* Trap phishing is a targeted form of phishing that exploits trust and context
* It typically falls under spear phishing or business email compromise
* These attacks target specific roles, not random users
* Most damage results from process failures, not technical flaws

**Organizational controls matter more than individual vigilance**

## What is trap phishing?

Trap phishing is a form of targeted phishing where attackers impersonate trusted individuals or organizations to influence behavior. Unlike mass phishing campaigns, these operations are designed for precision.

![Illustration showing a phishing hook targeting login credentials, payment card details, files, and email messages](https://firebasestorage.googleapis.com/v0/b/cyberscope-90197.appspot.com/o/blog%2Fbucket%2F1712140367993-2.png?alt=media)

Although “trap phishing” is not a formal technical category, the term is commonly used to describe highly contextual phishing attempts that rely on impersonation and urgency rather than scale.

## How does trap phishing work?

Trap phishing attacks follow a predictable pattern, even when the messages look convincing.

Attackers begin by gathering context. They study job roles, workflows, partners, and public activity. This allows them to craft messages that fit the target’s expectations.

Next, they impersonate a trusted source. This could be an executive, a vendor, a service provider, or an internal team member.

Finally, they trigger an action. The request feels routine. The urgency feels justified. That is where the trap closes.

## Is trap phishing the same as spear phishing?

In practice, yes.

“Trap phishing” is not a formal attack classification. Most incidents described this way fall under spear phishing or business email compromise (BEC).

The distinction is intent. These activities focus on specific people and roles, not large audiences. Precision is what makes them effective.

## Why is a trap phishing attack dangerous for organizations?

Targeted phishing targets access rather than devices.

When attackers compromise the right person, they can bypass many technical controls. A single mistake can lead to unauthorized transactions, data exposure, or internal impersonation.

For organizations, the impact often includes:

* Financial loss
* Credential compromise
* Operational disruption
* Reputational damage
* Regulatory and governance scrutiny

In Web3 environments, these incidents frequently act as the entry point to more serious situations. Secure systems behave as designed. The failure occurs at the human layer.

### Cyberscan

Security risk extends beyond code defects.\
Targeted phishing often leads users to interact with malicious or impersonated contracts. Cyberscan helps teams analyze contract behavior and similarities before trust is established.

*[Explore Cyberscan](https://www.cyberscope.io/cyberscan)*

## How do businesses reduce trap phishing risk?

Prevention is not just an awareness problem. It is a design problem.

![Illustration of a secured email message symbolizing email security and phishing protection](https://firebasestorage.googleapis.com/v0/b/cyberscope-90197.appspot.com/o/blog%2Fbucket%2F1712140407491-3.png?alt=media)

Effective organizations focus on structure and verification. They assume sophisticated impersonation attempts will occur.

Common controls include:

* Clear approval and verification workflows
* Out-of-band confirmation for sensitive requests
* Role-based access and separation of duties
* Defined escalation and incident response processes

Training *supports* these controls, but it cannot *replace* them.

## Common phishing and impersonation techniques

Targeted phishing overlaps with other attack methods.

Alongside it, organizations often encounter:

* Email phishing, which targets large groups with generic messages
* Vishing, where attackers impersonate trusted voices by phone
* SMS phishing, which relies on urgency and familiarity
* Ice phishing, which tricks users into approving malicious transactions
* Content injection, where legitimate sites are compromised

Understanding how these techniques intersect helps teams build layered defenses.\
\
***Learn more about [Ice Phishing Attacks](https://www.cyberscope.io/blog/what-are-ice-phishing-attacks-and-how-you-can-protect-yourself)***

## FAQ

### What is trap phishing in cybersecurity?

Trap phishing is a targeted phishing attack that uses impersonation and context to influence behavior. It is commonly associated with spear phishing and business email compromise.

### How can organizations prevent trap phishing attacks?

Organizations reduce risk through verification workflows, access controls, and clear approval processes. Training supports these measures but does not replace them.

### What is the difference between phishing and trap phishing?

Traditional phishing targets many users with generic messages. A trap phishing attack targets specific individuals using personalized and role-aware requests.

### Is trap phishing common in Web3?

Yes. These attacks often target developers, operators, or signers where a single compromised action can have serious consequences.

## Targeted Phishing Risks for Organizations

Trap, or targeted phishing, highlights a reality that many organizations underestimate. Security failures often begin with trusted interactions rather than technical weaknesses.

Targeted phishing attacks succeed because they align with roles, routines, and expectations. When the right person is compromised, even well-designed systems can be misused without triggering immediate alarms.

Reducing this risk requires more than awareness. It requires clear processes, verification, and an understanding of how trust is established and exploited across systems and teams.

### Safescan

Trust is not only about code.\
Understanding who you interact with is as important as understanding how systems behave. Safescan helps teams assess address and entity risk as part of broader due diligence and security workflows.

[Explore Safescan](https://www.cyberscope.io/safescan)

Trap phishing is a targeted phishing technique that exploits trust and impersonation. Learn how it works, why it’s risky, and how organizations reduce exposure.

What Is Trap Phishing? Definition and How Organizations Reduce Risk

The DTCC has taken a major step toward bringing traditional financial markets on-chain. Its subsidiary, Depository Trust Company, recently received a No-Action Letter from the U.S. Securities and Exchange Commission. Behind the regulatory language, the message is simple: DTC is allowed to move forward with tokenizing real-world assets it already holds in custody, as long as this happens within a clearly defined and controlled framework.

This means assets like U.S. equities, ETFs, and Treasury securities can be represented as tokens on approved blockchain networks, without losing the legal protections investors rely on today. These tokens are not “crypto versions” of securities, but regulated representations with the same ownership rights and obligations. The service is expected to begin rolling out in the second half of 2026 and will initially be offered to DTC participants and their clients.

What makes this announcement stand out is not just the technology, but the intent behind it. Tokenization has long been discussed as something that might happen “one day,” usually limited to pilots or closed experiments. DTCC’s move shows that regulators are open to production-level blockchain infrastructure and that tokenization can fit within existing securities law. This is not about replacing traditional finance, but about connecting it to on-chain systems in a controlled way.

From the Cyberscope point of view, this is where the story becomes more complex. Moving assets like stocks or government bonds on-chain fundamentally changes how risk looks. Security is no longer just about protecting exchanges or individual wallets. It becomes embedded in the financial plumbing itself, in the smart contracts, permission rules, and access controls that make tokenization work.

To put it more plainly, when real-world assets go on-chain, a few things suddenly matter a lot more than before:

* The smart contract logic actually does what the legal agreement says it should
* Admin keys and permission systems are tightly controlled and not “temporarily shared”
* Monitoring exists to catch problems early, not after headlines appear

These details may sound technical, but in a regulated environment they are non-negotiable. A single mistake in contract logic or access management can lead to asset loss, compliance violations, or market disruption. Unlike early crypto experiments, there is no room for “we’ll fix it in the next version.”

This is why cybersecurity becomes mission-critical. Institutions operating under securities law will be expected to treat smart contracts like core financial software, not side experiments. One-time audits will not be enough. Continuous reviews, active monitoring, and clear incident response plans will be standard expectations. In this world, security is an ongoing process, not a launch milestone.

![The DTCC has taken a major step toward bringing traditional financial markets on-chain. ](https://firebasestorage.googleapis.com/v0/b/cyberscope-90197.appspot.com/o/blog%2Fbucket%2F1767098445458-ChatGPT%20Image%2030%20%CE%94%CE%B5%CE%BA%202025%2C%2002_40_31%20%CE%BC.%CE%BC..png?alt=media)

Looking ahead, DTCC’s announcement sets a clear direction for both institutions and Web3 teams. Security reviews will be expected, [smart contract audits](https://www.cyberscope.io/smart-contract-audit) and [real-time monitoring](https://www.cyberscope.io/real-time-monitoring) will become baseline requirements, and compliance and security will need to evolve together. Tokenization does not remove risk—it reshapes it, moving it into code, keys, and on-chain processes.

The No-Action Letter makes one thing clear: tokenization is entering regulated finance for real. From Cyberscope’s perspective, the conclusion is straightforward. The future of digital markets will depend on security being built in from the start, not added later when the stakes are already high.

DTCC’s SEC approval brings real-world asset tokenization into regulated finance, making smart contract security essential.

Smart Contract Audit

Recent Posts

KYC vs AML: What’s the Difference in Compliance?

Case Study: Securing clore.ai’s Decentralized AI Compute Marketplace

What Is Trap Phishing? Definition and How Organizations Reduce Risk

DTCC Receives SEC Approval to Tokenize Real-World Assets

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