SUNANDO ROY – On Banking, Finance and Society

Internal audit in financial institutions is under pressure to keep pace with 24/7 digital operations, complex regulatory expectations, and fast‑evolving risks. Traditional periodic audits alone struggle to provide timely assurance over high‑volume, automated processes such as payments, trading, and access management. Hybrid audit models—combining continuous and periodic assurance—are emerging as a pragmatic response, preserving independence and depth while adding real‑time risk visibility.​

From Periodic to Real‑Time Assurance

Periodic internal audits are structured, point‑in‑time assessments typically aligned to annual plans, regulatory cycles, or thematic priorities. They excel at providing holistic opinions on governance, risk management, and control design, supported by robust documentation and professional judgement. However, in data‑intensive environments, material issues can develop and persist in the gaps between audit cycles, especially in high‑frequency and highly automated business lines.​

Continuous auditing addresses this timeliness gap by using automated testing, data analytics, and rule‑based monitoring to assess selected risks, controls, and transactions on an ongoing or near‑real‑time basis. Instead of relying solely on sample‑based fieldwork, internal audit can obtain continuous feeds of indicators, exceptions, and trends on areas where risk changes quickly. This shifts internal audit’s role from purely retrospective assessment to an active risk‑sensing partner that can signal emerging vulnerabilities earlier.​

What Hybrid Audit Looks Like in Practice

In a hybrid model, internal audit does not abandon periodic audits; it selectively augments them with continuous techniques where they add most value. Typical design choices in financial institutions include:​

• Using continuous auditing for high‑risk, high‑volume processes such as payments, trade capture, reconciliations, customer onboarding, sanctions screening, and user access provisioning.​

• Retaining periodic audits for strategy, governance, culture, model risk governance, and complex judgement areas where interviews, walkthroughs, and qualitative assessment remain central.​

• Feeding continuous audit outputs (alerts, trends, rule breaches) into the risk assessment and scoping of periodic audits, so that annual and multi‑year plans reflect real operational signals rather than static assumptions.​

Operationally, this requires internal audit to design and own a set of analytic tests and thresholds, often built on data sourced from core banking systems, general ledgers, and risk platforms. Exceptions detected through these tests are triaged, investigated, and—where necessary—escalated through normal audit issue processes or used to trigger targeted reviews. Periodic audits then validate the underlying control design, data lineage, and governance around these automated checks, ensuring that continuous assurance remains reliable and independent.​

Benefits for Financial Institutions

For banks and other financial institutions, hybrid models offer several practical advantages:

• Speed with depth: Continuous auditing delivers rapid detection of anomalies, while periodic audits still provide comprehensive opinions suitable for boards, supervisors, and external stakeholders.​

• Better risk prioritisation: Continuous indicators help internal audit re‑prioritise plans in‑year, aligning limited resources with where risk is actually crystallising—such as spikes in processing exceptions, fraud indicators, or limit breaches.​

• Enhanced coverage and insight: Full‑population analytics reduce reliance on sampling in data‑rich environments, improving the chances of detecting rare but high‑impact issues in trading, treasury, or payments.​

For management, continuous audit reporting—often via dashboards or periodic exception summaries—provides timely feedback on control health between formal audits. For supervisors, a well‑articulated hybrid model can demonstrate that the institution’s “third line” is evolving in step with digital risk and leveraging data effectively.​

Challenges and Design Considerations

Hybrid models also introduce new challenges that financial institutions must manage carefully:

• Data, systems, and skills: Continuous auditing depends on stable data feeds, clear data lineage, and analytics capability within the internal audit function. Weak data quality can generate false positives or mask true risks.​

• Alert governance and noise control: Poorly calibrated rules or thresholds can create volumes of low‑value alerts, overwhelming auditors and eroding credibility with stakeholders.​

• Role clarity and independence: Internal audit must avoid becoming a quasi‑operational monitoring function. Continuous audit activity should remain clearly distinct from first‑ and second‑line continuous monitoring, with well‑defined ownership of rule design, change control, and access rights.​

Embedding hybrid audit in financial institutions also requires thoughtful change management: updating internal audit methodology, training staff in data and analytics, and clearly explaining to management and regulators how continuous and periodic work interact. Without this clarity, continuous techniques risk being seen either as a “black box” or as duplication of existing risk and compliance monitoring.​

Positioning Hybrid Audit for the Future

As financial institutions continue to digitise, hybrid audit models will become central to how internal audit demonstrates relevance and value. The most effective functions will treat continuous auditing as a risk radar that informs where to look, and periodic audits as deep dives that explain why issues arise and how they should be fixed. By integrating both into a coherent methodology and narrative, internal audit can move from episodic assurance to a forward‑looking pillar of resilience, helping boards and supervisors navigate an increasingly real‑time risk landscape.​