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

Can Stigma-Free Money Education Boost Workplace Performance?

Setting the Stage: Why Financial Stress at Work Demands Stigma-Free Education Paychecks stretched thin, phones buzzing with overdue alerts, and minds drifting during shifts point to a simple truth: money stress quietly drains focus long before it sparks a crisis. Recent findings sharpen the picture—PwC’s 2026 survey reported 59% of employees feel financially stressed and nearly half say pay lags

AI for Employee Engagement – Review

Introduction Stalled engagement scores, rising quit intents, and whiplash skill shifts ask a widely debated question: can AI really help people care more about work and change faster without losing trust? That question is no longer theoretical for large employers facing tighter budgets and nonstop transformation, and it frames this review of AI for employee engagement—a class of tools that

High Yield Production Robotics – Review

A New Benchmark for Physical AI in Shipbuilding Backlogged yards racing to deliver complex warships faced a stubborn truth: the hardest hours sat inside welding arcs, blasting booths, and inspection gates where variability punished rigid automation and delays multiplied across billion‑dollar programs. That pressure created space for High‑Yield Production Robotics (HYPR), Huntington Ingalls Industries’ integrated line that fuses adaptive welding

Embodied AI Warehouse Robotics – Review

Surging e-commerce demand, next-day promises, and a shrinking labor pool have converged to make the warehouse pick not a background task but the profit-critical moment that decides whether orders ship on time, in full, and at a cost that margins can bear. That is the pressure cooker in which Smart Robotics built an embodied AI platform that replaces point-tool robots

Are CPUs Making a Comeback in AI After Intel’s Surge?

From GPU Supremacy to a CPU Revival: Why Intel’s Shock Rally Matters Now Stocks did not usually redraw compute roadmaps in a single session, yet Intel’s AI-fueled spike turned cost-per-token math into a boardroom priority and pushed CPUs back into the center of inference debate. Operators contributing to this roundup described a pendulum swing: GPUs still rule training, but production