Key compliance trends in 2026 and 2027: what HR and hiring teams need to know

Compliance trends are the shifts in laws, regulator focus and enforcement that change what a business must do to stay within the rules. The key compliance trends for 2026 and 2027 are AI governance, data privacy, cybersecurity, fraud, third-party risk and a fast pace of new rules. Several of them now land on HR and hiring teams, through AI hiring laws, pay transparency and candidate fraud.

TL;DR / Key Takeaways

• They include AI governance, AI hiring laws, data privacy, cybersecurity, fraud, pay transparency, third-party risk, background screening limits, ESG and sanctions, and fast regulatory change.
• New York City, California, Illinois, Colorado and the EU ask for candidate notices, bias checks, explanations and records. Employers stay responsible when a vendor runs the tool.
• Colorado on 1 January 2027 and the EU high-risk AI rules on 2 December 2027.
• More US states and the EU require pay ranges in job ads and bar questions about pay history.
• Fake identities and stand-in applicants make ID checks and proctoring part of hiring compliance.
• List every tool, map the rules by location, test for bias, tell candidates, keep records, and train and review.
• The guide ends with the skills to look for and how to test them.

What are compliance trends?

Compliance trends are the patterns in new regulation, enforcement and risk that shape how organizations run their compliance programs. Examples include new AI laws, stricter privacy rules and regulators asking for proof instead of policies. Following compliance trends helps teams plan budget, tools and training before a deadline arrives, not after a fine.

Compliance industry trends also cover how the work itself is done, such as the move to automated monitoring and AI-assisted reviews. Regulatory compliance trends are not only a legal team topic. In KPMG's 2026 Global Chief Ethics and Compliance Officer Survey of 725 compliance leaders, 67% said they are confident assessing compliance overlaps with legal, HR, investigations, internal audit and operations. HR is now one of the functions compliance leaders plan with directly.

What are the key compliance trends for 2026 and 2027?

The key compliance trends for 2026 and 2027 are AI governance, AI hiring laws, data privacy, cybersecurity, fraud and identity risk, pay transparency, third-party risk, background screening limits, ESG and sanctions, and the sheer volume of regulatory change. The first five affect almost every team; several reach HR directly.

The Thomson Reuters Institute's list of 10 global compliance concerns for 2026 puts fraud, AI ethics, data privacy, cybercrime and regulatory change near the top, with sanctions, ESG and supply chain integrity close behind. The rest of this guide focuses on the trends that change how a hiring team works.

Why is AI governance the biggest compliance trend?

AI governance is the biggest compliance trend because companies now use AI in core decisions, and regulators expect them to show how those systems are controlled. Compliance teams are both using AI for their own work and writing the rules for how everyone else uses it.

On the "using AI" side, KPMG found that compliance teams most often apply AI to risk assessment (50%), data visualization and predictive analytics (44%) and employee training (44%), and 68% of compliance leaders feel "mixed, leaning positive" about it. Compliance automation trends point the same way: AI reads contracts, monitors transactions and flags policy issues faster than a manual review can.

On the "governing AI" side, the EU AI Act is the main reference point. Its AI literacy duty has applied since 2 February 2025, so companies that use AI should help staff understand the tools they use. In 2026, EU lawmakers agreed an AI Act Omnibus that moves the rules for high-risk systems, including recruitment tools, from 2 August 2026 to 2 December 2027, according to Gibson Dunn's summary of the AI Omnibus agreement. The delay buys time. It does not remove the duties.

A practical AI governance program usually covers four things:

• An inventory of every AI system, who owns it and what decisions it touches.
• Human oversight, with a named person who can review and override an AI decision.
• Testing, for accuracy and for unfair outcomes, before launch and on a schedule.
• Records that show what the system did and why, kept for the period the law requires.

How are AI hiring laws changing in 2026 and 2027?

AI hiring laws are moving from a single city rule to a patchwork of state and EU requirements. Most of them ask employers to tell candidates when AI is used, to check tools for unfair outcomes, to explain decisions and to keep records. Employers stay responsible even when a vendor runs the tool.

• New York City (Local Law 144): Employers using automated employment decision tools need a yearly independent bias audit, a public summary and candidate notices. Enforcement has been weak so far, but that is changing. A New York State Comptroller audit from December 2025 found that the city agency reviewed 32 companies and found 1 issue, while state auditors found at least 17 potential violations at the same companies. The city agreed to improve complaint handling and reviews.
• California: Civil Rights Council rules on automated decision systems took effect on 1 October 2025. As Mayer Brown explains, they keep records for four years instead of two, treat a vendor acting for the employer as an "agent" and let anti-bias testing count as evidence in a discrimination claim.
• Illinois (HB 3773): From 1 January 2026, the Illinois Human Rights Act bars AI use that discriminates in hiring and other employment decisions, bars zip codes as a proxy for protected traits and requires notice to candidates. Detailed notice rules from the state agency were still pending at the time of writing.
• Colorado (SB 26-189): Colorado repealed its 2024 AI Act before it started and replaced it with a narrower law. Skadden's June 2026 summary says the new law is due on 1 January 2027 and requires notice before use, a plain-language explanation within 30 days of an adverse decision, a way to correct data and ask for human review, and three years of records.
• European Union: AI used to recruit, screen or evaluate candidates is "high risk" under the AI Act, with the main duties now due on 2 December 2027.

Pro tip: Ask every hiring tech vendor for its latest bias audit, a description of how scores are produced and its data retention settings before renewal. Under California's rules a vendor can count as your agent, so its gaps become yours.

For a wider checklist, see the legal compliance checklist for hiring.

What is changing in pay transparency?

Pay transparency rules are spreading in the US and the EU, so more employers must publish pay ranges in job ads and stop asking about pay history. For hiring teams, every job post becomes a compliance document, and pay ranges need a clear, recorded basis.

In the US, Hunton's December 2025 roundup lists New Jersey (1 June 2025), Vermont (1 July 2025) and an expanded Massachusetts law for employers with 25 or more employees (29 October 2025). California amended its pay scale definition from 1 January 2026, and Delaware's law starts on 26 September 2027.

In Europe, the EU Pay Transparency Directive had a transposition deadline of 7 June 2026. Lewis Silkin's July 2026 update reports that only Italy, Lithuania, Malta and Slovakia had fully transposed it by then. The core rules are still clear: candidates get starting pay or a range early, employers may not ask about pay history, and larger employers report gender pay gaps, with a joint pay assessment when an unexplained gap of 5% or more is not fixed.

For posting rules by location, read the guide to pay transparency.

How are fraud and identity risks reaching hiring?

Fraud and identity risks reach hiring because scammers now pose as candidates and as employers. Fake applicants can use stolen identities, stand-ins or AI-generated video to get hired, and a fraudulent hire can open the door to data theft. Identity checks are becoming part of hiring compliance.

The numbers moved fast. The US Federal Trade Commission reported that consumers lost more than $12.5 billion to fraud in 2024, up 25%, and that reported losses to job and employment scams rose from $90 million in 2020 to $501 million in 2024. On the employer side, HR Dive reported Gartner's prediction that 1 in 4 candidate profiles worldwide could be fake by 2028, and 6% of 3,000 surveyed candidates admitted to interview fraud.

Hiring teams are answering with ID checks at key stages, live or recorded interviews matched to the same person who took the assessment, and proctoring for remote tests. Each control collects personal data, so it also needs a privacy notice, a retention period and a fair process for candidates who are flagged. See how to stop employment fraud.

What is happening with data privacy and cybersecurity compliance?

Data privacy and cybersecurity compliance are getting stricter as laws tighten and attacks grow more organized. In the KPMG survey, 75% of compliance leaders said cybersecurity and data privacy need more investment. For HR, the most exposed data is candidate and employee data held across many tools.

Thomson Reuters describes cybercrime as increasingly professional, with criminal groups run like businesses, which makes staff training and access controls as important as technology. Privacy rules add duties on what data you collect, why, where it is stored and how long you keep it.

For a recruiting team, data privacy compliance usually means:

• Collecting only the candidate data each hiring step needs.
• Telling candidates how assessments, interviews and AI tools use their data.
• Setting retention periods that match the strictest rule that applies, such as California's four years for automated decision data.
• Checking where each vendor stores data and whether it holds security certifications.

Read how recruitment platforms handle GDPR compliance.

Which other workplace compliance trends should HR watch?

Other workplace compliance trends for HR include tighter background screening rules, changing drug testing rules, a shift in US diversity program rules, remote work across many locations and more scrutiny of vendors. None of them is new, but each changed enough to need a policy review in 2026.

Background screening limits

Clean slate laws seal or clear some criminal records after a set period, and more states and cities limit credit checks to roles where they are clearly job related, such as finance roles. Update screening policies, train hiring managers on what they can and cannot consider, and record why each check is needed for each role. The guide to background checks covers the basics.

Cannabis and drug testing

State cannabis laws keep changing while federal law has not caught up. Define which roles are safety sensitive, set a clear process for positive results and medical use, and document any accommodations.

Diversity programs and federal contractors

In January 2025, a US executive order revoked the long-standing affirmative action order for federal contractors, and federal guidance on diversity programs shifted. Anti-discrimination laws still apply, so many employers are reviewing programs with counsel and keeping data that shows hiring decisions are based on skills.

Remote and multi-state work

Remote hiring means following the employment, tax, pay transparency and privacy rules of the place where the employee works, not where the company sits. Track worker locations and apply the right rules from the job post onward.

Third-party and supply chain risk

Companies can be liable for what suppliers do, and EU supply chain and cyber rules add duties from 2027. For HR, every recruiting, assessment and background check vendor is a third party to review.

How should HR and hiring teams prepare for these compliance trends?

HR and hiring teams can prepare for these compliance trends with a short, repeatable loop: list every tool, map the rules by location, test for bias, tell candidates, keep records and train people. Teams that follow this loop can answer an auditor, a regulator or a candidate with evidence.

1. List every tool: Record each AI, assessment, interview and screening tool, what it decides and which vendor runs it.
2. Map the rules: For each hiring location, note which AI, pay, privacy and screening rules apply. Candidate location matters, not only office location.
3. Test for bias: Check pass rates and scores across groups before launch and at least once a year, and keep the results.
4. Tell candidates: Add AI notices, consent where needed, pay ranges and a way to ask for human review.
5. Keep records: Store scores, decisions and reasons for the longest period any applicable rule requires.
6. Train and review: Train recruiters and hiring managers, review vendor contracts, and revisit the policy each quarter.

Key takeaway: The common thread across 2026 and 2027 compliance trends is proof. Regulators, candidates and auditors increasingly ask employers to show how a hiring decision was made, so structured, recorded and explainable hiring steps are the safest base.

Which compliance skills should teams hire for?

Compliance teams now need people who combine regulatory knowledge with data, technology and judgment. The most sought-after skills include AI governance, data privacy, cybersecurity awareness, regulatory change management and the ability to explain risk in plain language to business leaders.

Resumes rarely show how well someone applies a rule to a messy real case, so scenario-based tests help. Testlify's test library includes an HR compliance skills test and a governance, risk and compliance test that check how candidates handle realistic compliance situations, alongside role-specific tests for privacy, security and finance roles.

How does Testlify support compliant hiring?

Testlify supports compliant hiring by giving every candidate the same structured, skills-based assessment, with explainable scoring, human oversight and recorded results. That evidence helps HR teams show how decisions were made when a regulator, auditor or candidate asks.

• Bias audit: Testlify completed a third-party New York City Local Law 144 bias audit of its Matching Model on 16 June 2023.
• Security and privacy: ISO 27001, SOC 2 Type II, GDPR and CCPA, with regional data residency. See security and compliance.
• Integrity checks: 20+ proctoring checks, including AI assistance detection, copy and paste tracking and photo ID verification, with clear rules for candidates. Read about AI proctoring compliance.
• Same test, same scoring: 3,500+ tests and 25+ question types, scored the same way for every candidate, with per-skill breakdowns a reviewer can check.

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