Fidelity Digital Assets Adopts EY’s Blockchain Analytics Tool for Enhanced Internal Risk Management

Fidelity Digital Assets, the digital asset arm of Fidelity Investments, has recently announced the adoption of EY’s blockchain analytics tool. This collaboration aims to strengthen Fidelity’s internal risk management protocols and ensure a secure and transparent trading environment. EY’s tool, known as EY Blockchain Analyzer: Reconciler, provides organizations with the ability to independently query on-chain data, offering valuable insights for risk assessment.

EY Blockchain Analyzer: Reconciler

EY’s advanced tool, EY Blockchain Analyzer: Reconciler, is made available to organizations through its Software as a Service platform. This web-based interface facilitates the querying of cryptocurrency data-related workflows effortlessly. Developed over six years and involving a multimillion-dollar investment, the tool offers numerous features and capabilities for comprehensive risk management within the cryptocurrency space.

Enhancing Internal Risk Management

Addressing robust internal risk management protocols is vital for any cryptocurrency platform, and EY’s blockchain analytics tool fills this need. By providing the ability to independently query on-chain data, organizations can better identify potential risks and take proactive measures to mitigate them. This tool empowers Fidelity to strengthen its risk management processes, ensuring the safety and security of its digital asset operations.

Fidelity’s Use of the Tool

Fidelity Digital Assets has enthusiastically embraced EY’s blockchain analytic tool to bolster the efficacy of its internal risk management. By leveraging the tool’s features and capabilities, Fidelity will enhance its ability to analyze transaction data, identify transaction mismatches, monitor wallet address balances, and verify digital signatures. These analytical dashboards will enable it to gain deeper insights into its operations, detect irregularities promptly, and maintain a transparent trading environment for its clients.

Features of the Tool

The EY Blockchain Analyzer: Reconciler tool offers a user-friendly interface that simplifies the process of querying cryptocurrency data-related workflows. Fidelity can now access analytical dashboards that provide real-time insights into transaction mismatches, wallet address balances, and digital signatures. These functionalities empower Fidelity’s risk management team to identify and address potential issues promptly, boosting their operational excellence.

EY’s Investment and Supported Blockchains

The development of the EY Blockchain Analyzer: Reconciler involved a significant six-year, multimillion-dollar investment from EY. This commitment reflects the company’s dedication to creating state-of-the-art tools for the cryptocurrency domain. Currently, EY’s tool supports blockchains such as Bitcoin, Bitcoin Cash, Litecoin, Ethereum, Ethereum Classic, and Dogecoin, providing comprehensive coverage for Fidelity’s digital asset operations.

Future Expansion

EY’s commitment to meeting evolving client needs is evident through its plans to expand support for additional chains based on client demand. This flexibility ensures that Fidelity Digital Assets can adapt to the dynamic nature of the cryptocurrency landscape and stay ahead in terms of risk management and operational excellence.

Fidelity Digital Assets’ adoption of EY’s blockchain analytics tool marks a significant step forward in improving internal risk management within the cryptocurrency industry. By leveraging EY’s advanced tool, Fidelity enhances its ability to independently query on-chain data, providing valuable insights to strengthen its risk management protocols. With features like analytical dashboards and real-time monitoring, Fidelity can proactively identify risks, maintain a secure and transparent trading environment, and ensure the utmost safeguarding of its clients’ assets. As EY continues to expand the tool’s capabilities and support, Fidelity and other industry participants can look forward to further strengthening their risk management practices in the fast-evolving cryptocurrency landscape.

Explore more

Why Does AI Unite Marketing and Data Engineering?

The organizational chart of a modern company often tells a story of separation, with clear lines dividing functions and responsibilities, but the customer’s journey tells a story of seamless unity, demanding a single, coherent conversation with the brand. For years, the gap between the teams that manage customer data and the teams that manage customer engagement has widened, creating friction

Can AI Fix a Broken Customer Experience by 2026?

The promise of an AI-driven revolution in customer service has echoed through boardrooms for years, yet the average consumer’s experience often remains a frustrating maze of automated dead ends and unresolved issues. We find ourselves in 2026 at a critical inflection point, where the immense hype surrounding artificial intelligence collides with the stubborn realities of tight budgets, deep-seated operational flaws,

Trend Analysis: AI-Driven Customer Experience

The once-distant promise of artificial intelligence creating truly seamless and intuitive customer interactions has now become the established benchmark for business success. From an experimental technology to a strategic imperative, Artificial Intelligence is fundamentally reshaping the customer experience (CX) landscape. As businesses move beyond the initial phase of basic automation, the focus is shifting decisively toward leveraging AI to build

Trend Analysis: Contact Center Operations

The modern digital economy has compressed the timeline for building brand loyalty to a single interaction, where one unresolved issue or frustrating phone call can permanently sever a customer relationship that took years to cultivate. While many companies pour resources into ambitious, high-level customer experience (CX) strategies, they often neglect the foundational element where success or failure is ultimately decided:

Trend Analysis: Customer-Centric Banking Models

The long-standing transactional relationship between banks and their customers is rapidly dissolving, replaced by a dynamic, experience-driven partnership demanding unprecedented levels of personalization and control. This profound paradigm shift marks a move away from a traditional, product-focused strategy, where success was measured by the number of accounts opened or loans issued. Instead, the new benchmark for success is the quality