Internal Audit: 2025’s Top Risks and Skill Gaps

Internal audit teams face a triple threat in 2025 from cybersecurity, generative AI, and economic uncertainty. These escalating challenges reveal critical skill gaps, leading many organizations to leverage external expertise.

The year 2025 is shaping up to be a formidable gauntlet for organizations, and at the vanguard of defense, internal audit teams are bracing for impact.

A new report from Jefferson Wells, a prominent professional services firm, reveals a landscape dominated by three titans of risk: an ever-present cybersecurity threat, the dizzying ascent of generative AI, and the pervasive shadow of economic uncertainty.

These aren’t just line items on a risk register; they are dynamic forces reshaping the very fabric of corporate governance and demanding an unprecedented level of agility and foresight from those tasked with safeguarding enterprise value.

For the fifth consecutive year, cybersecurity reigns supreme as the top emerging risk, a testament to its relentless evolution and the persistent vulnerability of interconnected systems.

This isn’t merely about preventing a data breach; it’s about navigating a sophisticated war of attrition where adversaries are constantly innovating, and the stakes involve not just financial loss, but reputational ruin, operational paralysis, and even national security implications.

Internal audit’s role here transcends mere compliance checks; it requires a deep understanding of evolving threat vectors, a critical eye on incident response capabilities, and the ability to challenge assumptions about an organization’s digital perimeter.

It’s a perpetual arms race, and audit teams are the crucial intelligence and oversight arm, ensuring that defenses are not just present, but truly robust and adaptable.

Hot on cybersecurity’s heels, and perhaps even more perplexing in its novelty, is generative AI.

Its meteoric rise to the second most pressing concern underscores a profound shift.

Just a year prior, its mention in such surveys was negligible; now, it demands strategic attention.

Generative AI is a double-edged sword: a powerful engine for innovation, efficiency, and competitive advantage, yet simultaneously a Pandora’s Box of new, complex risks.

Auditors are now grappling with questions of data integrity, algorithmic bias, intellectual property concerns, ethical implications of autonomous decision-making, and the potential for misuse or “hallucinations” – instances where AI fabricates information with convincing authority.

How does one audit the logic of a machine learning model that evolves?

How do organizations ensure accountability when the ‘decision-maker’ is an opaque algorithm?

These are not trivial questions, and they require a fundamental rethinking of traditional audit methodologies, demanding a blend of technological literacy, ethical reasoning, and a healthy dose of skepticism.

Adding another layer of complexity to this already challenging environment is the re-emergence of economic uncertainty.

Cited by 26% of respondents, up from near zero in the previous year, this factor acts as an accelerant to other risks.

A volatile economic climate can lead to cost-cutting measures, potentially compromising security investments or vital compliance functions.

It can pressure organizations into risky ventures, or expose weaknesses in supply chains and financial controls.

Internal audit, in this context, becomes a crucial sentinel, not only ensuring financial probity but also assessing the resilience of business models, identifying potential liquidity risks, and scrutinizing strategic decisions made under duress.

It’s a reminder that even in an age of digital disruption, the foundational elements of sound financial management remain paramount.

The confluence of these risks highlights a severe and growing challenge: a critical skill shortage within internal audit departments.

The Jefferson Wells survey points to significant gaps in cybersecurity, AI, IT audit, and data analytics expertise.

This isn’t surprising.

The pace of technological change far outstrips the ability of many organizations to recruit, train, and retain specialized talent internally.

The skills required to audit an AI model are fundamentally different from those needed to review traditional financial statements, and the pool of professionals possessing this dual expertise is frustratingly shallow.

This talent deficit has led to a significant shift in strategy.

More than 85% of audit leaders are now relying on external partners to augment their internal capabilities.

This isn’t a sign of weakness but a pragmatic response to an evolving reality.

External expertise offers immediate access to specialized skills, scalability for specific projects, and an objective perspective that can be invaluable.

As Tim Lietz, National Practice Leader for Risk & Compliance at Jefferson Wells, aptly puts it, “Our annual survey underscores the pressing need for Internal Audit functions to adapt to swift advancements in AI, growing global economic uncertainty and their inability to maintain required skillsets on their team to execute their annual internal audit plan.”

His commentary emphasizes that leveraging external expertise is no longer an optional luxury but a strategic imperative to bridge these expanding skill gaps and effectively address the multifaceted challenges ahead.

The internal audit function, once seen as a largely backward-looking compliance check, has been thrust into a forward-looking, strategic role.

In 2025, it is no longer enough to simply identify risks; audit teams must anticipate them, understand their intricate interdependencies, and provide insightful guidance on mitigation strategies.

This era demands a new breed of auditor – one who is technologically savvy, ethically astute, strategically minded, and unafraid to challenge the status quo.

For organizations navigating this complex future, the proficiency and strategic integration of their internal audit function will be a decisive factor in their resilience and continued success.