Future-proofing internal audit: Tackling emerging technological disruptions
ComplianceMarch 12, 2025

Future-proofing internal audit: Tackling emerging technological disruptions

As everyone is aware, the weather is becoming increasingly unpredictable; similarly, technology is also becoming increasingly erratic. Let us imagine for a moment that internal audit is a lighthouse standing strong on a rugged coastline, guiding ships through these increasingly turbulent seas. The storm represents the fast-evolving world of technological disruptions, with uncontrollable winds and shifting tides threatening to pull organizations off course. The lighthouse must do more than shine its light; to remain an effective guide in these modern storms, it must be equipped with the latest radar, automated systems, and other advanced technologies to detect ever increasing changes in weather and sea conditions. Similarly, internal audit has to evolve more frequently to ensure it remains a reliable beacon for organizations navigating the uncertain waters of technological innovation.

Emerging technologies are advancing at an unprecedented pace, offering transformative possibilities while exposing organizations to new risks. According to ISACA’s 2024 State of Digital Trust Report, three out of four organizations have experienced significant technological disruptions in the past year, and 67% identified these disruptions as their primary operational risk. For internal audit, the challenge is clear: they must help to anticipate these risks, future-proof their business processes, and instill an effective control environment to help their organization thrive in a world defined by rapid innovation.

Generative artificial intelligence (GenAI) tools such as Co-Pilot can create highly customized outputs, like risk and control matrices, and even audit reports. They can even work alongside AI agents, which autonomously execute tasks and adapt to new data. These tools are transforming industries and enabling organizations to pivot quickly while creating risks that internal auditors must address proactively.

Just like the lighthouse standing up to 15-foot waves, let’s explore how internal audit can rise to the challenge of technological disruption, outlining proactive strategies, practical tools, and actionable steps to help organizations weather the storm and thrive.

The expanding scope of technological disruption

What is technological disruption?

When new technologies radically change established markets, procedures, or sectors, technological disruption results. Unlike slow technical progress, disruptions cause seismic changes, often making conventional systems outdated. These developments provide a two-fold challenge for internal audit: knowing the potential risks these developments bring about and finding ways to use them for more insight and efficiency.

Consider the rise of generative AI, a recent breakthrough in artificial intelligence. Generative AI models like ChatGPT can assist audit in real-time by drafting reports, summarizing large datasets, or even identifying patterns in unstructured data. Meanwhile AI agents can autonomously learn and execute tasks, which are beginning to revolutionize daily tasks like reviewing and responding to emails. However, these technologies also introduce risks, such as misuse of sensitive data, ethical concerns, and automation errors that could go undetected.

What are examples of disruptive technologies?

Let's look at some of the more powerful disruptive technologies influencing the risk scene of both today and tomorrow:

  • Generative AI and Agents
    Generative AI has already started to transform industries by automating decision-making, enhancing predictive analytics, and optimizing processes. Up from 45% in Q1 of 2024, 68% of leaders will invest between $50-$250 million in GenAI over the next 12 months, per KPMG’s January 2025 AI Quarterly Pulse Survey. Now, we are also seeing AI Agents—autonomous systems that perform tasks, make decisions, and interact with their environment, like a digital assistant—are adding another layer of capability, automating content creation and decision-making. For example, an AI Agent can review incoming emails, categorize them, and draft personalized responses in your tone and style, saving you time. But these advancements also come with risks, such as algorithmic bias, ethical misuse, and compliance challenges. For example, generative AI systems trained on incomplete data could provide inaccurate insights, exposing organizations to reputational damage.
  • Autonomous systems and robotics
    Autonomous systems include drones, autonomous vehicles/vessels, delivery robots, and humanoids. Advances in Generative AI and Agents will make these systems more dependable and affordable throughout 2025, therefore encouraging further adoption in industries like manufacturing, transportation, logistics, and farming. These technologies do, however, also introduce risks, such as liability concerns, cybersecurity vulnerabilities, and ethical dilemmas. For example, a malfunction in an autonomous vehicle could result in unexpected behavior, such as failing to reach its intended destination or misinterpreting its environment, leading to operational disruptions and reputational challenges.
  • Quantum computing
    According to a recent Reuters article, commercial quantum computing application could be available within the next five (Google) to 20 years (Nvidia). No matter, quantum computing represents a leap in computational power, enabling breakthroughs in optimization, cryptography, and simulations. However, this technology is also a big threat to old encryption algorithms, which could mean that the way we protect ourselves now is no longer useful. Internal auditors must assess whether their organizations are prepared for the transition to quantum-resistant encryption.
  • Neuromorphic computing
    Neuromorphic computing mimics the structure and function of the human brain, using artificial neurons and synapses to process information. With a compound annual growth rate (CAGR) of 29.5% by 2033, this technology is transforming real-time processing and energy-efficient AI applications. Neuromorphic chips are particularly suited for robotics, autonomous systems, and edge computing. However, the adoption of neuromorphic computing introduces governance challenges and risks tied to autonomous decision-making.

These technologies are changing industries at a speed that calls for internal audit's awareness and adaptability to make certain organizations can navigate these changes responsibly.

The role of internal audit in mitigating technological risks

Proactive vs. reactive risk approaches

As everyone is aware, internal audit has traditionally been reactive, addressing risks only as they become evident. But the speed and scope of technological disruption call for an even greater proactive response, one that sees risks and mitigates them before they can escalate.

Proactive strategies include:

  • Early warning systems
    Leverage analytics, AI, and machine learning to identify potential risks before they materialize. Create shared dashboards, for instance, that analyze trends in key risk indicators including vendor behavior, cybersecurity alerts, or unusual financial activities, to offer real-time insights and early warnings for emerging threats.
  • Technology adoption readiness reviews
    Evaluate the organization’s preparedness to adopt and integrate emerging technologies by assessing existing infrastructure, talent capabilities, and governance frameworks. For example, before implementing AI or blockchain solutions, conduct readiness reviews to identify gaps in skills, compliance policies, or cybersecurity measures and provide recommendations to mitigate risks proactively.
  • Dynamic audit planning
    Regularly updating audit plans will help to reflect the changing risk profile of your organization. Audit strategies in implementing autonomous systems, for instance, should include evaluations of cybersecurity resilience and liability structures.

By being proactive, internal audit will always be a strategic ally in navigating technological disturbances.

Leveraging technology to enhance audit efficiency

IIA Standard 10.3 underlines the need of internal audit functions having a well-defined technology plan that enables them to utilize advanced tools and techniques to improve their audit capabilities and offer greater value to the organization. Against technological upheaval, audit management solutions such as Wolters Kluwer TeamMate provide internal audit teams a path forward to increase efficiency, maximize resource allocation, and strengthen relationships with their stakeholders.

  • Centralized audit management
    From planning to reporting, a centralized solution streamlines the audit lifecycle on a single system. By centralizing audit activities, organizations can improve transparency and streamline workflows, especially when dealing with disruptions like neuromorphic computing or autonomous systems.
  • Data-driven insights
    Integrating advanced analytics capabilities within your audit management solution enables audit teams to analyze large datasets for anomalies, trends, and emerging risks during their planning and fieldwork, all under one roof. Audit teams can use the analytics tool, for example, to identify patterns in vendor payments or detect cybersecurity vulnerabilities before they escalate. It’s like being able to quickly find and repair a pipe leak, before it becomes a costly flood.
  • Enhanced collaboration across teams
    By allowing real-time communication across internal audit, IT, accounting/finance, and risk management teams, audit management solutions serve to promote cooperation in an environment where risks may span multiple departments. Dynamic dashboards and shared reporting ensure that all stakeholders are aligned in addressing emerging threats.

Solutions like these help audit teams to stay ahead of disruptive technology by enhancing efficiency, improving accuracy, and enabling seamless collaboration.

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Practical steps to future-proof internal audit

Step 1: Create a disruption radar

A disruption radar helps internal audit identify and monitor emerging technologies and risks. Follow these steps to implement a disruption radar:

  • Trend analysis: Assign team members to track and document developments in technologies like Agentic AI or quantum computing. Listen to podcasts, follow industry publications, or have the team consistently interact with your IT and InfoSec staff on these newest technologies.
  • Impact assessment: Use quarterly or bi-annual workshops with your IT and InfoSec colleagues to assess how new technologies can affect internal controls, cybersecurity, and compliance.
  • Prioritization: Rank identified risks by their likelihood and severity, ensuring critical risks are addressed first. For example, since the banking sector is anticipated to be one of the first industries to implement quantum computing, you might want to give quantum computing risk a higher priority if encryption flaws expose private information.
  • Action plans: Develop action plans to address each identified risk. For example, implement quantum-resistant encryption protocols before quantum computing becomes mainstream. This allows you to address these risks proactively, while ensuring organizational resilience.

Step 2: Conduct incident planning and stress testing

Effective incident planning and stress testing help to make sure there is organizational readiness. To strengthen these:

  • Simulate cyber threats: Run simulations including AI-powered cyberattacks to evaluate organizational reaction times and identify gaps in incident protocols.
  • Stress test autonomous systems: For organizations using robotics, simulate operational disruptions (e.g., a supply chain breakdown caused by a malfunctioning robot) to test resiliency.
  • Evaluate recovery frameworks: Review disaster recovery strategies to ensure they consider emerging threats, such as ransomware attacks targeting AI systems. Bonus: Review the cyber insurance coverage of your organization to determine what is covered and what is not. For example, a system that falls under a subsidiary may not be covered by your identified policy!

Step 3: Invest in continuous education

For audit teams, keeping current with new technologies calls for continuous education. Practical ways to achieve this include:

  • Certifications: Encourage auditors to pursue certifications in AI, robotics, and cybersecurity, such as those offered by The Institute of Internal Auditors (IIA) or ISACA.
  • Workshops: Organize quarterly workshops to educate audit teams on emerging risks including quantum computing or autonomous systems.
  • Cross-functional training: Partner with risk management and IT teams to give your audit team practical hands-on training in assessing technological risks.

Step 4: Discuss potential risks of disruptions with stakeholders and the audit committee

Effective communication with the audit committee and your key stakeholders guarantees alignment on the risks posed presented by technology changes and the organizational readiness. To ease these conversations:

  • Present concise, actionable insights: Summarize potential risks in clear, non-technical language, explaining how—such as artificial intelligence bias or quantum computing's encryption concerns—could affect strategic goals. Make conclusions easily available via dashboards or heatmaps.
  • Schedule regular updates: Host quarterly or semi-annual risk briefings to provide information on emerging risks, mitigating techniques, and technology-related opportunities including automation or AI.
  • Emphasize the cost of inaction: Emphasize the financial, operational, and reputational consequences of neglecting to address emerging risks.

Step 5: Build collaborative frameworks

Building collaborative frameworks ensures that internal audit works seamlessly with other departments to address cross-functional risks and leverage diverse expertise. To establish effective collaboration:

  • Create cross-functional teams: Form working groups that bring together internal audit, IT, compliance, and risk management teams to address emerging technological risks such as AI misuse or supply chain vulnerabilities.
  • Establish shared goals: Align on objectives for managing disruptions, such as improving cybersecurity protocols or ensuring compliance with evolving regulations tied to technologies like blockchain or IoT.
  • Utilize collaborative tools: Employing centralized reporting systems, shared dashboards, and real-time communication technologies can help to improve transparency and streamline team decision-making.

Conclusion

Internal audit must always change to meet the risks and opportunities given by disruptive technology, much as a lighthouse must update its equipment to remain essential in modern storms. Emerging innovations like generative AI, quantum computing, neuromorphic computing, and autonomous systems may create uncertainty, but they also provide opportunities for growth and innovation—opportunities that internal audit can help organizations seize responsibly.

By adopting proactive strategies, leveraging solutions like Wolters Kluwer TeamMate, and fostering collaboration, internal audit can remain a trusted guide, steering organizations safely through turbulent waters. Those who adapt, innovate, and lead will shape the future of internal audit. This is not just a challenge—it is an opportunity to shine brighter as the trusted beacon of resilience for internal audit.

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Scott Madenburg Headshot
Founder at ARC∙Hybrid
Scott Madenburg is a leading market advisor and subject matter expert in audit, risk, and compliance with over 20 years of experience.
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