Digital Controls

Organizations recognize that new digital technologies such as AI, machine learning, robotics, cloud, Internet of Things and big data analytics provide opportunities to manage, detect and control risks in innovative ways which significantly increases effectiveness and efficiency. In many cases, digital technologies allow the application of control techniques which were previously infeasible. Our Digital Controls framework provides comprehensive guidance on how to employ new digital technologies to modernize the lines of defense. We help clients to apply digital technologies to revamp the aspects of governance, people and processes in the internal control framework.

• Cortex AI

Tap into the power of advanced AI and analytics: As a cloud-agnostic AI development platform with plug-and-play technologies for data, analytics, intelligent automation, and machine learning, CortexAI™ can help you establish or expand your AI capabilities at speed and scale

• Controls resilience: Digitizing pathways to the future of internal controls - Stuart Rubin

In response to COVID-19, many companies introduced new technologies to enable remote work and sustain operations. But advanced technologies often cause a disconnect between where the business is headed and the ability of controls functions to keep up. To close the gap, those functions should focus more on offense, leveraging automation to enhance monitoring.

• A new era of digital compliance and controls - Charlotte Gribben

COVID-19 and government-imposed lockdowns have tested the resilience of companies across every industry. While for some people this is an extension of previous working from home practices, many workers have been impacted by their employer's need to remotely monitor for compliance with important laws and regulations.

When organizations "go digital," whether in terms of embarking on transformative digital business models, or digital transformation of their operations, they are exposed to new risks or new forms of existing risks. We use our Digital Risk framework to help clients understand, govern and address potential trouble spots that leading-edge technologies introduce. In digital transformation initiatives we safeguard our clients’ interests with respect to digital risk exposures, and free them to focus their attention on the achievement of their strategic digital objectives in a safe manner.

• RegHub

An end-to-end platform for simplifying complex regulatory compliance.

• Enterprise Risk Evolved: A Holistic Approach to Integrated Assurance Infographic - Stuart Rubin

A "Connect. Modernize. Digitize." (CMD) approach can optimize performance, increase productivity, grow profitability, improve risk management and potentially lower the cost of compliance. Learn how your organization can achieve risk excellence and build resilience with a CMD approach today.

• Refocus on Risk to Thrive - Darren Gerber

This report shares insights on the best practices organizations are adopting to address the challenges they have experienced aligning strategy, risk appetite and culture during the COVID-19 crisis.

• Edge computing: Purpose to potential - Tom Bigham

Edge computing, cloud and AI combined have the power to change the way how people interact with data and technology. But alongside the potentials, the consequences of a poorly planned and executed edge deployment can be severe. Getting this right requires careful consideration of the impact on an organization’s existing risk and control frameworks to ensure a safe and secure deployment while balancing innovation, speed and control.

AI and machine learning are increasingly used to assist and improve business decision making. It is therefore essential that the insights garnered or decisions made by AI algorithms are fair, ethical, safe and explainable, especially when they affect safety and other important aspects of human life. Our Trustworthy AI framework is used by Deloitte professionals to investigate the AI models developed by our clients and provide confidence that the algorithms contained in them perform as expected.

Trustworthy AI

Artificial intelligence (AI) has become one of the key technologies of this century and plays an increasingly essential role in answering the challenges we face. AI will impact our daily lives across all sectors of the economy. However, to achieve the promise of AI, we must be ready to trust in its results. We need AI models that satisfy a number of criteria and thus earn our trust.

"AI Governance Survey" - Deloitte Tohmatsu Group, Japan

This survey was conducted between December 8, 2020 and January 31, 2021 to investigate all departments in all industries based in Japan in regards to use of AI as well as their awareness of the risks involved and how they were managing those risks. The survey showed more than 80% of companies using AI with the aim of AI investment to "create new businesses" to exceed an "increase in existing business sales.

Making AI transparent, fair and trustworthy - Philip Chong

There are many mitigation procedures that a company can take to remedy a situation when an employee does not behave within the organization’s ethical standards. But what happens when the fault lies with technology?

AI algorithms are used to create innovative solutions for long standing risk issues (e.g. early warning of emerging risks through big data analytics, credit lending models to assess credit worthiness of under-banked people in developing countries, combating digital fraud or modelling climate risk). These innovative uses are helping to improve our society and create a better world. Our Deloitte professionals have created multiple innovative uses of AI algorithms and deploy them at clients to solve real world risk problems faced by businesses.

• DataStrata

DataStrata is planned to be an end-to-end data framework designed to help organizations build a data foundation with enough integrity to realize the full power of data while managing the risks. Through a single integrated framework, we help organizations drive accountability through data management and enablement with strategic support in data risk, regulatory compliance, cyber security, culture and training, vendor management and technology. DataStrata provides the blueprints, architects, tools and processes for your organization to realize the full potential of your data.