When a company makes a new executive hire, the last thing they want is to go back to the drawing board, especially when that comes with reputational consequences. In today’s climate, mishandling an executive background check is no longer treated as a small oversight—but as a serious liability.
In 2024, Harvard University President Claudine Gay resigned after plagiarism allegations and scrutiny over her academic record intensified. Critics questioned whether the vetting process sufficiently examined her publication history before appointment. That same year, Tosha Lara-Larios, interim vice president, chief medical officer and medical director of medical management and accreditation at Blue Shield of California, was fired and referred for prosecution for misrepresenting her medical licensure, and Venus Lee, CEO of GraceMed, resigned after the company discovered inconsistencies in her educational credentials. These three instances highlight the importance of verifying an executive’s education and employment claims, as when these mishaps occur, a company’s business affairs can quickly become public knowledge. Meanwhile, in 2025, Kohl’s CEO Ashley Buchanan was fired nearly 100 days into the role for an undisclosed conflict of interest, including directing business toward a romantic partner without proper disclosure – demonstrating what happens when a company isn’t aware of all the risks they should be.
Executive background checks can be difficult to execute on – especially for high-profile individuals with an extensive history at numerous companies – yet always necessary in today’s business landscape. These senior leaders under scrutiny control strategy and finances and are intrinsically linked to a company’s reputation. If an executive’s problems surface later, investors, regulators, and the public see it as a failure of governance, judging companies against all the information they should have known – whether they deliberately made a mistake or not. Beyond standard background, executive background checks must examine an individual’s digital footprint and generally must consider the following basics:
- Verification of Professional History and Qualifications: Companies must ensure facts reported on an executive’s resume, including former positions and educational history are accurate and not exaggerated. Moreover, companies must ensure that all required professional licenses are valid, in good standing, and not associated with any disclosures.
- Criminal, Civil, or Regulatory Matters: If an executive has a criminal record, was involved in past lawsuits, was previously involved in any regulatory scrutiny, or has any history of financial insolvency (bankruptcy and liens), then a company needs to know ASAP to assess for any ongoing or future risk.
- Analysis of Media Presence and Public Perception: Companies need to be aware of any controversial media coverage, past scandals, or negative PR, as well as any negative posts by or about an executive on social media. Additionally, sites like Glassdoor or industry-specific platforms can be useful to find reviews that reflect poorly on an executive’s leadership style.
Furthermore, companies need to be aware of much more than the basics, as changing rules and regulations to data access, usage of AI technology and its effects on open source research, and increasing cross-border hiring patterns are changing the nature of due diligence, and causing more ground to be covered via thorough background research.
Changing Rules and Restrictions to Data Access
Changing rules and restrictions on data access are making it easier for hiring risks to slip through the cracks. Due diligence research normally relies on an open ecosystem of public records, corporate filings, social media, and news archives. In 2026, this ecosystem is closing with access restricted via pay wall or locked down altogether. In the US, Europe and elsewhere, laws like General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and dozens of other new US state‑level privacy acts limit what personal data can be stored, how long it can be retained, what can be shared across borders, and what counts as “legitimate interest” for background checks. For executive due diligence, this means less records and more knowledge gaps. Often, a risk is hidden behind what regulators and courts can legally report, but just because it’s hard to find doesn’t mean it isn’t there. Hiring companies need due diligence partners who know how to find and report on such risks.
Human analysts can work around these gaps by ethically and legally triangulating other human resources, like calling institutions for verification or contacting universities or licensing boards. Smart due diligence companies can also leverage proprietary data, either through accumulating and building their own data sets, or knowing where to go on the internet to find reliable access to certain specialized data. Additionally, due diligence companies which can effectively leverage human intelligence, including local contacts with regional business, litigation, and regulatory expertise can bridge the gap between what is accessible and what are the facts. Often, a well-placed individual (“source”) can provide helpful insight on the subject individual’s leadership behavior, reputation patterns, or locally known scandals which aren’t visible in databases. Additionally, any concerns identified by well-placed local sources can be explored further through targeted follow-up discussions to give researchers a head start on where to conduct targeted research.
In a world of restricted data, the value proposition lies in both access and interpretation. Ultimately, companies need to approach due diligence providers that are familiar with data reporting laws and have local research capability so that risks can be uncovered, in addition to ones that can provide sound analysis.
AI and Executive Background Checks
AI has become a powerful tool for research companies looking to scale their work and work more efficiently. Still, when it comes to open-source research, contextual analysis, and risk assessment, AI cannot fully substitute for the judgment or expertise of an experienced human analyst. In 2026, more companies are using AI in their due diligence and risk-screening processes, while AI-published or aggregated information is multiplying rapidly on the internet, obscuring more reputable information. This environment, where AI is now substantially involved in both the analysis and creation of information, has and will continue to present problems for hiring companies.
When it comes to executive background checks, AI tools cannot yet confidently and correctly verify education and employment. AI cannot differentiate the quality of one source from another and often uses aggregated, AI-created, or self-reported data to underpin its conclusions. Additionally, AI tools cannot as easily evaluate inconsistencies in information and are more likely to take anything they read on the internet at face value, even if employment timelines or logical sequencing don’t make sense. Human analysts, on the other hand, can assess the validity of where a piece of information is being reported, and can notice errors in logic and sequencing. When the validity of a potential executive hire’s credentials is the difference between hiring with confidence and accepting potential risks, companies need researchers that can confidently access reputable news articles, official databases, and other trusted sources to make sure that credentials match.
Another AI-related issue that companies conducting executive background research must contend with is the growing prevalence of AI-generated noise on the internet, including fake or AI-generated social media profiles, synthetic news sites, and fabricated or disaggregated corporate biographies. When conducting research with AI, deficient sourcing can build on itself and cascade, as AI is unable to evaluate the difference between an AI-generated site stating a fact and valid reporting. Moreover, when tasking AI with analyzing risks, it can hallucinate connections or make up substantiating evidence. Humans can often detect subtle inconsistencies while AI tends to ignore or even amplify them. AI works best when research and investigative firms use it as a supporting tool—detecting notable information and summarizing—rather than as a primary source of truth. Ultimately, companies need partners who can separate quality information from the rest, not just run automated checks.
Cross Border Hiring
In 2026, companies are targeting cross-border and multicultural experience in their executive hires, viewing a broader range of experience as a business driver. A 2026 hiring primer from Talentor, a global executive search and recruitment network, highlighted that cross-border and borderless executive hiring is increasing. The company reported that “Executive roles are increasingly location-agnostic” leading to increased cross-border hiring for executive and senior management roles and emphasizing the importance of cross border compliance.
Validating an executive’s professional history and reputation can be a challenge when hiring across jurisdictions. In jurisdictions where records containing litigation details, investigations into potential crimes, or regulatory penalties are not as accessible or uniformly cataloged, companies need analysts who know where to look and how to fill in the gaps. Meanwhile, between borders, potential risks can get lost in translation – through actual language translation issues or cultural differences in how some risks are thought about in different regions of the world. Therefore, any hiring company will need to leverage firms with capable local language analysts who are aware of in-country cultural, business, and regulatory landscapes. Meanwhile, in-region local contacts and analysts can leverage their permitted access to local news, registries, courts, and social platforms to bypass cross‑border restrictions, as many controls limit foreign access.
Ultimately, companies need due diligence partners who can navigate multiple legal systems, interpret cultural nuance, and confidently report hard to find liabilities. Cross-border research capability, including leveraging local source contacts and language-capable analysts provides insight that no single database can.
Securing Corporate Governance Through Executive Vetting
Executive background checks are only growing more complex. Evolving data privacy laws, cross-border jurisdictional challenges, and the rapid integration of AI into open-source research have raised the bar for what a thorough, defensible vetting process requires. There is no one-size-fits-all solution – and any firm claiming otherwise should give you pause.
When evaluating a provider for executive background checks, one should look for a company that brings together several critical capabilities: a well-cultivated network of regional contacts and in-country researchers; current, working knowledge of shifting data laws across jurisdictions; proprietary databases that go beyond what commercial aggregators offer; and demonstrated expertise in navigating the cultural, regulatory, and business landscape of the markets that matter to you. Cross-border research capability isn’t a bonus at the executive level, it’s a baseline requirement.
The right partner won’t just return a report. They’ll bring informed judgment of what the data means – and what it might be missing.
This blog article was led by Alex Donlon, Associate at Integrity Risk International LLC. He holds a Master of Arts in Political Science from George Mason University and a Bachelor of Arts in International Affairs from James Madison University. Alex brings extensive research and analysis experience across the Americas and EMEA regions, and is proficient in English, Spanish, and French.