Unlocking HR's strategic potential with better verifications

Two answers tied at the top of the list when we asked HR teams what it means for a background check to be “accurate.” 58% percent say the identity in the report matches the candidate who shows up on day one. An identical 58% say the record reflects relevant history with nothing missing or outdated.

Record completeness is a more traditional definition of an accurate background check, and that hasn’t gone away. However, AI is making it easier every day to create fraudulent personas, video interview avatars, voices on phone calls, and fabricated documents. HR leaders now need enhanced identity verification before any records are even gathered, and wouldn’t say a report is accurate unless identity is confirmed.

Before a report can be complete, it has to be about the right person.

Sorted by what they ask of a report, the six definitions fall into two groups:

The same shift toward increased rigor around accuracy and identity shows up on the candidate side, too. Candidate experience as a priority has held its weight year over year, with 43% of HR leaders calling it very important to hiring strategy. What moved is which part of the experience leaders prioritize.

Confidentiality and security is now the top answer at 34%, and transparency rose to 22%. Speed and efficiency fell to 24%, and some focus has also shifted away from support.

That isn't a signal that HR thinks candidates have stopped caring how long a check takes or about support tools. At enterprise volume, candidates in high-turnover roles still take competing offers while checks are pending.

It's a signal that protecting candidate data and keeping candidates informed have become and even more essential part of what HR teams need from a strategic screening partner, alongside how fast a check clears, to keep top talent in the funnel (and weed out unqualified or fraudulent applications).

51% of HR leaders say their organization treats fraud prevention as a formal, distinct strategic objective within their background check program. Another 36% say it's addressed but folded into general compliance work. Only 9% say they have no fraud strategy at all.

For a concern that most screening programs weren't built around, that's fast adoption. But—ownership of new fraud prevention programs, tasks, and goals hasn’t been settled.

HR and talent acquisition lead at 39%. 12% share fraud prevention with no single owner, and 6% report no one officially responsible. That's 18% of organizations where a named strategic objective has no accountable owner.

Shared ownership isn't the problem by itself. Fraud spans HR, security, legal, and IT, and that’s part of what can make it a complex problem to tackle. The difference is whether a split in ownership areas was designed or inherited. A program with four contributors and one owner is a committee. A program with four contributors and no owner is a gap that only becomes visible during an incident.

Only 10% of HR leaders say their fraud coverage has no gaps. Confidence sits in similar territory: in Checkr's 2026 CHRO Insights Report, which surveyed 2,500 chief human resources officers, just 31% said they were extremely confident in their organization's ability to prevent hiring fraud.

The top answer at 53% is cross-verification: checking what a candidate claims about work history and credentials against trusted records. It leads the next answer by twelve points, and sits well ahead of newer capabilities on the list like synthetic identity and deepfake detection.

The remaining answers, in priority order, start to paint a clear chronological picture of where fraud prevention is most needed:

Most screening programs concentrate fraud coverage inside the background check. Four of the six capabilities leaders named aren't typically part of a traditional background check, which is why Checkr's fraud detection suite runs across application, interview, background check, onboarding, and post-hire rather than at a single stage.

Security teams can model threat surfaces and legal can assess exposure, but a fabricated identity enters through a hiring workflow that HR designed and runs. Prevented fraud attempts, identity verification pass rates, and credential discrepancy rates are risk metrics a board recognizes, and HR is the function that can produce them.

Half of large organizations run one standard set of screenings for every candidate in a role, all at once. 21% use a tiered approach, with lighter verifications early and more costly or time-intensive checks at later stages.

A flat structure works when the background check is the last gate before an offer, but stops working when fraud prevention becomes its own objective. As we saw above, this is because most of the capabilities leaders say they're missing don't belong at the offer stage. They belong earlier, while a candidate is applying and interviewing, and later, after someone has started. Screening once leaves nowhere to put them, no matter which provider runs the check.

That means tiered screening—from one centralized, integrated platform—can drive not only cost savings but critical workflow efficiency and risk management success.

43% of HR teams hiring at scale are either running checks outside their hiring flow or are unsure whether those systems are connected. Either way, those teams are likely missing the benefits integrated workflows are built to provide: faster handoffs, fewer manual errors, cleaner data, and better visibility into fraud and identity risk. For teams moving fast to meet high-volume hiring demand, that gap stops being just an integration issue and starts creating real operational risk.

Speed still leads as the reason to integrate, but by less than it did. Reduced fraud and identity risk arrives tied with compliance in its first year on the list. Systems that share data surface discrepancies that isolated systems miss, and they produce the record that makes fraud reporting possible later.

Automated cross-verification of resume claims tops the AI list at 45%. It's also the biggest fraud gap in this survey, at 53%.

Leaders aren't looking to AI for a capability that doesn't exist yet. They want it pointed at verification work they already know they need and can't do by hand at their volume.

Identity and fraud detection follows at 40%. Compliance tracking across jurisdictions (33%) and generated audit trails (29%) point at the same operational problem: requirements change faster than any team can track by hand at volume, and the record has to be retrievable long after the decision.

Most HR teams can get screening data in front of leadership. But there's a notable split in how much work it takes to gather those metrics, mainly because of analytics access and integration.

Manual pulling works when the request comes once a quarter from one hiring leader. It stops working when fraud becomes a standing agenda item with high-visibility and a tie to measured business outcomes.

Plus, reporting makes the most impact if it lands on a metric leadership already tracks. Quality of hire is that metric, named by 41% as what they most need to improve in 2026 and up from last year.

Quality of hire is also the top reason leaders order background checks at all. A new hire whose credentials were fabricated is a quality of hire failure, which puts screening data on a number the executive team is already watching.

Very few HR leaders think screening improvements wouldn't help. More of them are now unsure how much, which is a reasonable place to land when the expectations on screening expanded to cover identity and fraud in the same year.

If your organization funds jurisdictional compliance work and fraud prevention as separate budget lines, this data supports reading them as one exposure with two failure modes. A consolidated risk line is an easier approval than a new one.