Connect with us

Accounting

Internal auditors less confident on AI versus other risks says Protiviti survey

Published

on

While internal audit and IT professionals view AI as a technology risk that will grow more significant over time, compared to other technologies they have the least amount of confidence in their ability to identify and handle these risks.

This is according to a recent poll from business technology consulting firm Protiviti. It found that while 28% believe AI and machine learning—including generative AI—does represent a technology risk, and that 59% say it will be a significant threat over the next two to three years, professionals do not feel confident in their ability to manage these risks relative to other technologies.

The survey found that just 13% are confident in the proficiency of their IT audit teams to evaluate technology risks related to AI (down one percentage point compared to last year), and just 17% feel their organizations are prepared to address these risks in the next 12 months (down three percentage points from last year). In both cases, AI represented the technology risk they felt least capable of identifying and handling.

In contrast, poll respondents felt most confident about cybersecurity, both in terms of evaluating cybersecurity risks (58%, a five percentage point gain from last year) and handling them (63%, an eight percentage point gain from last year). Below that are risks such as regulatory compliance, data privacy, cloud computing risk, data governance and integrity, IT talent management, transformations and system implementations, software development, technology resiliency, third party/vendor risk, technical debt and aging infrastructure and Internet of Things. Internal audit and IT professionals felt more confident in their ability to evaluate and handle risks from all of these areas over AI.

As for what risks in particular they are concerned about, the most common answer was security risks like hacking, adversarial attacks and data poisoning. This was followed by privacy risks like data misuse or consent violations, operational risks like system failures, shortage of qualified AI experts, regulatory risks, risks of AI not integrating well with existing systems, competitive risks like being outpaced in AI adoption by competitors, ethical risks like bias and lack of accountability, and reputational risks.

However, the report also noted internal auditors are already actively looking for ways that AI can be used to reduce risk. It found that 52% of internal audit leaders are researching the future use of AI at their organizations, 39% are already auditing the use of AI in their organizations, and 39% are already using AI tools in their audit activities. This seems to have sharpened their ability to identify risk in certain areas. The poll found that 76% of organizations using AI tools in technology audits perceive a high level of cybersecurity risk in the next year as compared to only 65% who do not use AI tools. Similarly, 71% using AI tools perceive a high level of data privacy and compliance risk, as compared to only 58% of those who don’t.

“I’m excited about the increasing adoption of AI in internal audit, and making this a priority is essential for departments to stay ahead of emerging risks and opportunities,” said Angelo Poulikakos, global leader of the firm’s Technology Audit and Advisory practice. “Internal audit also has a unique opportunity to guide the business in adopting AI responsibly by advising on effective risk and control governance.”

Though AI is not seen as a significant short term risk, the report recommended that leaders still be proactive in assessing the ethical, operational and reputational challenges it poses, especially considering how fast the technology is being adopted in the market. Leaders, said the report, should give AI immediate attention, focused on determining whether their organizations are establishing governance and leveraging frameworks, like the NIST Risk Management Framework so they can be ready for future AI implementations.

Continue Reading

Accounting

Continuous Auditing Transforms Corporate ERPs

Published

on

continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

Continue Reading

Accounting

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

Published

on

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

WASHINGTON — In a major escalation of cross-border trade friction, U.S. President Donald Trump has signed executive orders imposing new 50% tariffs on a wide selection of Canadian exports, citing discriminatory practices by Ottawa targeting American auto, dairy, and beverage industries.

The new duties, announced Monday, will take effect in 30 days. They target a broad spectrum of consumer and industrial goods—ranging from wine, liquor, and milk products to commercial cement, furniture, clothing, and hockey equipment.

Untested Legal Mechanism

To enact the sweeping measures, the administration invoked Section 338 of the Tariff Act of 1930—a rarely used legal provision allowing the executive branch to levy additional tariffs of up to 50% on foreign nations deemed to discriminate against U.S. commerce.

White House officials noted that Section 338 addresses trade discrimination rather than national security or economic emergencies. The move comes months after prior global emergency tariffs faced legal challenges in domestic courts, signaling Washington’s pivot toward alternate statutory authorities to maintain import duties.

Senior administration officials briefed reporters that the measure directly responds to Canadian provincial bans on U.S. alcohol, restrictions on American vehicle exports, and import quota disparities affecting U.S. dairy and cheese producers relative to third-party trading partners.

“While the administration continues to secure reciprocal trade agreements globally, Canada retaliated against efforts to protect domestic industry,” U.S. Trade Representative Jamieson Greer stated.

USMCA Impact and Carve-Outs

Significantly, the newly ordered 50% duties will apply to designated items even if they otherwise comply with the United States-Mexico-Canada Agreement (USMCA).

However, the administration confirmed key targeted exemptions:

  • Energy products (including oil and natural gas)
  • Potash and critical minerals
  • Fish and seafood
  • Goods already governed by sector-specific duties (such as existing steel and aluminum tariffs)

Administration representatives emphasized that the tariffs do not stem from recent disputes concerning drifting Canadian wildfire smoke, noting that policy options regarding environmental spillover remain under separate review.

Canadian Response and Market Reaction

Following the White House announcement, the Canadian dollar experienced a sharp decline against the U.S. dollar, falling approximately 0.4% during evening trading.

Canadian Prime Minister Mark Carney issued a statement emphasizing that Canada’s earlier counter-duties had merely matched previous U.S. trade actions. “Canada stands ready to engage intensively to address outstanding issues with the U.S. to the mutual benefit of our citizens,” Carney stated, pointing to detailed proposals Ottawa submitted to modernize the USMCA framework.

Ontario Premier Doug Ford took a firmer stance, urging a “dollar-for-dollar” reciprocal response if the measures go into effect on August 19.

With a 30-day implementation window before the duties officially lock in, industry associations and trade groups on both sides of the border are calling for urgent bilateral negotiations to avert further supply chain disruption across North America.

Continue Reading

Accounting

Automated Continuous Auditing: Transforming Compliance and Real-Time Financial Oversight

Published

on

Transforming Compliance and Real-Time Financial Oversight

The traditional accounting paradigm—defined by periodic monthly closures and post-hoc annual audits—is rapidly giving way to continuous, automated financial oversight. As of July 2026, forward-thinking accounting practices and multinational corporate finance departments are leveraging continuous auditing systems powered by advanced machine learning models. These systems monitor operational transactions in real time, shifting audit methodologies from sample-based post-analysis to absolute, 100% transaction-level verification.

The operational advantages of continuous auditing are transformative. Standard auditing procedures historically relied on statistical sampling, which, despite rigorous methodology, inherently left gaps where anomalies or fraudulent transactions could go undetected for months. Modern continuous auditing platforms integrate directly with enterprise resource planning (ERP) databases, instantly cross-referencing purchase orders, invoices, bank feeds, and tax records. Any deviation from established control parameters or unusual transaction behavior triggers immediate flags for internal audit teams, dramatically reducing detection lag from quarters to seconds.

Beyond fraud prevention, continuous auditing fundamentally alters internal reporting and decision-making. Executive leadership no longer has to wait weeks after the close of a quarter to evaluate precise financial standing; real-time verified ledger data provides an uninterrupted view of operating margins, tax liabilities, and cash flow dynamics. This real-time visibility enables corporate controllers to adjust capital allocation strategies dynamically, mitigating liquidity constraints and capitalizing on emerging commercial opportunities far more efficiently than competitors bound to legacy reporting cycles.

However, implementing continuous auditing requires accounting professionals to acquire new analytical capabilities. The role of the auditor is evolving from manual data reconciliation toward system validation, algorithmic model governance, and strategic risk interpretation. Accounting firms and corporate finance departments must invest in continuous technical education, ensuring that audit staff possess the data engineering skills necessary to design, maintain, and evaluate complex automated compliance systems.

Continue Reading

Trending