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ISACA offers AI audit credential

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IT auditors who know a lot about artificial intelligence can now show it through a new certification, as the ISACA — the organization behind credentials like CISA and CISM — now offers an AAIA or “Advanced in AI Audit” credential. The certification demonstrates that an IT audit professional can navigate the complexities of AI and has the skills to respond to risks, identify opportunities and ensure compliance while safeguarding organizational integrity. Overall, it validates expertise in conducting AI-focused audits, addressing AI integration challenges, and enhancing audit processes through AI-driven insights.

The credential requires knowledge of a wide range of AI-related audit skills, proven through an exam scheduled through ISACA. Only those with an active CISA from ISACA, CIA from the IIA, and CPA from the AICPA are eligible to pursue the AAIA, which covers the key domains of AI governance and risk, AI operations, AI auditing tools and techniques.

Chiefly, professionals must demonstrate “AI operations” skills that concern balancing sustainability, operational readiness and the risk profile with the benefits and innovation AI promises to support enterprise-wide adoption of this powerful technology. This includes AI-specific data management, AI solution lifecycle management, AI-specific change management, supervision of AI solutions (especially agents), testing techniques for AI solutions, AI-specific threats and vulnerabilities, and AI-specific incidence response management. 

The next largest area of focus is “AI governance and risk,” which is mainly concerned with advising stakeholders on implementing AI solutions through appropriate and effective policy, risk controls, data governance and ethical standards. This encompasses general knowledge of AI and its business impacts, AI governance and program management, AI risk management, data and data governance programs, and how AI fits into standards frameworks and professional ethics. 

After that is “AI auditing tools and techniques,” which focuses on optimizing audit outcomes for innovation and highlights the professional’s knowledge of audit techniques tailored to AI systems and the use of AI-enabled tools to streamline audit efficiency and provide faster, quality insights. This includes audit planning and design, testing and sampling methodologies, evidence collection techniques, data quality and analytics, outputs and reports, all specific to AI. 

There are a number of task-based secondary classifications, such as “utilize AI solutions to enhance audit processes, including planning, execution and reporting” and “evaluate algorithms and models to ensure AI solutions are aligned to business objectives, policies and procedures.”

“ISACA is proud to have served the global audit community for more than 55 years through our audit and assurance standards, frameworks and certifications, and we are continuing to help the community evolve and thrive with the certifications and training they need in this new era of audits involving AI,” said Shannon Donahue, ISACA chief content and publishing officer. “Through AAIA, auditors can demonstrate their expertise and trusted advisory skills in navigating AI-driven challenges while upholding the highest industry standards.”

As AI becomes increasingly integrated into the world economy, a number of standard-setting and certification bodies have responded to rising concerns about the impact the technology can have on business and the economy as a whole. The National Institute of Standards and Technology released its AI Risk Management framework at the beginning of 2023. The following year, the International Organization for Standardization released ISO 42001, which specifies requirements for establishing, implementing, maintaining and continually improving an AI management system within an organization. ISACA says this is the first advanced AI audit certification in the world, developed in response to rising concerns about the black box nature of many AI models which, in turn, has driven calls for more oversight by audit and assurance professionals over the technology’s internal structures. 

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Accounting

Continuous Auditing Transforms Corporate ERPs

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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.

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Accounting

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

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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.

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Accounting

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

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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.

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