The compliance risk environment just hit its highest rating since the Diligent Institute started tracking it. The GC Risk Index rates the current environment at 7 out of 10. Regulatory change and AI risk are both rising concerns for compliance leaders.
For Chief Compliance Officers (CCOs), the pressure points are clear. Ethics and culture, AI, third-party risk, data sovereignty and geo-political uncertainty are all placing new demands on compliance programs. But the bigger shift is how those demands are being managed.
Last year's focus was connecting speak-up signals and third-party risk data so nothing fell through the cracks between systems. In 2027, CCOs will need to turn those connected signals into action while maintaining human oversight and a clear evidence trail.
Here are six shifts CCOs should build into their 2027 compliance agenda.
The window between an internal report and a disclosure decision is shrinking.
The DOJ’s March 2026 Corporate Enforcement and Voluntary Self-Disclosure Policy replaced separate division-level rules with one department-wide standard. Full voluntary disclosure, cooperation, and remediation can now earn a declination. A company may still qualify after a whistleblower reports internally, provided it discloses the matter to the DOJ within 120 days.
For a CCO, that 120-day clock is only usable if intake, investigation ownership and escalation are already fast enough to hit it. The risk is no longer merely receiving a serious report; it's losing time because ownership, evidence and escalation are unclear.
Diligent Speak Up Manager centralizes whistleblower intake and routing so a report doesn't sit unassigned, giving CCOs a defensible record of how fast the program actually moved.
Prosecutors and regulators no longer accept an AI policy on paper. They expect evidence that it's tested, monitored and current.
AI risk is now part of how the DOJ assesses compliance program effectiveness. The DOJ's updated Evaluation of Corporate Compliance Programs guidance requires documented AI risk assessment within enterprise risk management and evidence of ongoing monitoring for high-risk AI use cases. The EU AI Act's high-risk obligations under Annex III apply from December 2, 2027, giving compliance leaders a fixed point to plan against.
Diligent Institute's APAC Governance Outlook 2027: Cyber at the core, AI in motion, produced with the Governance Institute of Australia and the Singapore Institute of Directors, found that only 8% of senior governance leaders say their AI governance is ahead of adoption. The findings point to a wider challenge for organizations globally: putting effective oversight around AI as it becomes increasingly autonomous.
For CCOs, closing that gap means clear answers to three questions:
“AI can take a huge amount of work off a compliance team’s plate, but it cannot take the judgment out of compliance. CCOs still need to oversee important decisions, challenge it when necessary and remain accountable for the outcome.”
Kristy Grant-Hart, Vice President, Diligent Compliance Services
Diligent Policy Manager keeps AI policies and their review history documented, while AI Risk Essentials and Enterprise Risk Management connect that governance to the wider risk process. That gives CCOs a clearer evidence trail of how AI risk is being governed, so they can demonstrate accountability rather than relying on a policy alone.
Third-party risk is getting harder to manage as a series of separate checks. A one-time onboarding check isn't enough to manage vendor risk. CCOs need visibility into how that risk changes over time, from sanctions and ownership exposure to the growing reliance on external AI providers.
The regulatory picture reinforces that shift. Deloitte UK flags new FCA and PRA requirements for in-scope firms to report material third-party arrangements from March 2027, while changes to CSDDD and Germany’s LkSG mean some previously expected due diligence requirements are being delayed.
Sanctions make that third-party risk harder to see. AMLWatcher highlights the OFAC 50% aggregated-ownership rule as an example of why surface-level vendor screening can miss exposure beneath the immediate supplier.
Diligent and ECI Compliance Week’s State of Third-Party Risk & Integrity benchmark report shows how significant that visibility gap remains. Only 6% of surveyed organizations have broad visibility into fourth parties and formally manage material fourth-party risk, while 25% have little or no visibility beyond their direct third parties. AI oversight is similarly uneven: 55% already use AI in at least one part of due diligence, but only 38% track how their third parties use or govern it.
For CCOs, that means vendor onboarding, ongoing monitoring, sanctions screening and AI-provider oversight need to be viewed as a single, connected part of the same third-party risk picture. The concern is no longer limited to the vendor itself. It extends to the subcontractors, model providers and technology infrastructure on which that vendor depends.
That connected approach depends on bringing due diligence and ongoing monitoring into the same view. Diligent Third-Party Risk Intel replaces manual vendor-document review with AI-powered due diligence and triage, and connects to Diligent 3rdRisk for ongoing monitoring and sanctions screening. Together, they give CCOs visibility across the third-party lifecycle in one place, instead of stitching together separate tools.
As AI becomes embedded across the business, the infrastructure behind it is becoming a compliance concern, not just an IT one. CCOs need to understand how AI is being used, who is responsible for it and which regulatory requirements apply.
Knowing where AI data is stored is only the starting point. CCOs also need to know who has authority over it, who can access it, which entity controls the environment and which laws apply.
AWS European Sovereign Cloud shows why data residency alone does not settle the compliance question. Its European Sovereign Cloud operates on physically and logically separate infrastructure in Brandenburg, with dedicated European legal entities and EU-based operational controls. But US and EU rules can still create questions about jurisdiction and government access to data, even when that data is stored in Europe.
Those questions become more complex across jurisdictions. Data localization requirements in markets including China and Russia, reliance on a small number of cloud providers and the adoption of AI agents are bringing data sovereignty, technology resilience and AI governance closer together. For compliance leaders, these issues can no longer be managed in separate silos.
That means understanding where AI data sits is only part of the picture. CCOs also need visibility into which entity controls the environment and which jurisdictions and requirements apply.
That level of oversight depends on knowing which entities, jurisdictions and regulatory requirements sit behind AI use. Diligent Entities provides entity, ownership and jurisdictional data, while Diligent IT Compliance maps regulatory requirements to controls and tracks gaps and remediation. Together, they give CCOs a clearer view of where AI use intersects with regulatory obligations across the organization.
AI can take work off a compliance team’s plate, but it is also putting new work on it. As regulation expands and AI governance creates fresh oversight demands, CCOs need both smarter technology and enough skilled people to manage a growing remit.
The 2026 KPMG Global Chief Ethics and Compliance Officer Survey shows how compliance leaders are responding to increasingly complex regulatory, technology and operational risks. Among CCOs anticipating a budget increase, data analytics, cybersecurity and data privacy, AI and process automation all rank ahead of upskilling talent as investment priorities.
That makes capacity as much a technology question as a headcount one. Every obligation covered above creates more monitoring, evidence and follow-up work. The State of Third-Party Risk & Integrity benchmark report shows where some of that capacity gets lost: 81% of organizations surveyed in the benchmark cite waiting for information from third parties as a leading cause of due diligence delays. AI and automation can take on more of that repetitive information-gathering and monitoring work, but CCOs still need people for decisions that require context, challenge and judgment.
“The opportunity with AI isn’t to replace the compliance officer. It’s to take away more of the manual work so people can spend their time on what actually requires judgment: how the law applies to the organization and how the organization should respond.”
Kristy Grant-Hart, Vice President, Diligent Compliance Services
Creating capacity starts with reducing the repetitive work competing for a lean team's time. The Diligent One Platform consolidates compliance program management, AI governance, third-party risk and entity records into one place, so compliance teams can spend less time on manual work and more time on decisions that require human judgement.
Public concern about corruption is increasing pressure on governments to strengthen anti-bribery enforcement.
In Hungary, the new government moved quickly to expand anti-corruption powers after an election in which corruption was a prominent concern. In Serbia, a student-led movement campaigning for accountability and transparent public procurement won after nearly two years of anti-corruption protests. Corruption also emerged as the leading concern for US voters ahead of the midterms.
For CCOs, the significance lies in what may follow. Political mandates built around integrity and accountability can bring renewed scrutiny of bribery, public procurement, third-party relationships and the controls used to identify political exposure.
At the same time, geopolitical instability is making sanctions and tariffs harder to manage. New restrictions relating to Iran have expanded financial, trade and transport controls, while Russia-related measures are creating additional exposure through tariffs, secondary sanctions and supply chains.
That means a sanctions list, tariff schedule or enforcement posture built around today’s political map may be out of date by the next quarterly review. CCOs need ongoing monitoring that shows where exposure has changed, which relationships require deeper investigation and what action needs to follow.
A static, one-size-fits-all screening process cannot keep up with risk that changes by jurisdiction and by the week. Diligent Due Diligence helps CCOs match the depth of review to the risk, from AI-generated reports covering sanctions, politically exposed persons and adverse media to analyst-led open-source investigations and enhanced due diligence for higher-risk relationships and jurisdictions.
Every trend above lands on the same requirement: CCOs need evidence that the program behind their policies is working when scrutiny arrives. That means moving quickly enough to respond to a serious internal report, documenting how AI is governed, tracing third-party exposure and responding to changing anti-bribery, sanctions and tariff requirements.
AI and automation can create capacity by taking on more of the repetitive monitoring, screening and evidence work. But they do not remove the need for human judgment when a decision requires context, challenge or accountability.
What matters in 2027 is whether compliance teams can show that the decisions behind their fastest-moving work remain governed, traceable and explainable, not just that they moved faster.
For teams already using Diligent, the next step isn't replacing what's already built. It's connecting compliance program management, AI governance, third-party risk and entity records on the Diligent One Platform, so evidence is ready before a regulator or prosecutor asks for it.
For teams still managing these obligations across disconnected systems, the gaps that result could provoke stiff repercussions. Explore what a better way looks like for your compliance program: Request a demo.
Chief Compliance Officers should track six key compliance trends in 2027: faster disclosure expectations, AI governance, connected third-party risk, data sovereignty, compliance capacity and ESG claim substantiation.
Together, these trends are pushing CCOs from policy to proof, with greater emphasis on demonstrating that compliance processes are governed, traceable, and working in practice.
DOJ's March 2026 Corporate Enforcement and Voluntary Self-Disclosure Policy unifies what used to be separate division-specific rules into one standard: full voluntary self-disclosure, cooperation and remediation now earns a declination rather than just a presumption of one. The DOJ's policy text confirms that even if a whistleblower reports internally first, a company can still qualify for a declination as long as it self-discloses to DOJ within 120 days of receiving that internal report.
No, and this is a common misread. The European Commission confirms that under Omnibus I, the Corporate Sustainability Due Diligence Directive's application has been pushed back to July 2029, with member state transposition not due until 2028, and Germany's Chamber of Industry and Commerce notes Germany's LkSG reporting duty is moving toward retroactive repeal. The sharper 2027 pressure point is the UK's FCA and PRA requirement, confirmed in the FCA's own policy statement, to submit a standardized material third-party register by March 2027.
