Predictions for the Trust Landscape in 2026 and Beyond: What GRC and Security Leaders Should Prepare For

We are a quarter into 2026, and a lot has already happened. RSAC just wrapped up. AI governance went from conference panel topic to funded initiative. And the way organizations think about trust is shifting in ways that feel more structural than seasonal.

As Ross Haleliuk observed in his RSAC recap, security and GRC leaders are going back to fundamentals. After years of tool sprawl and chasing every shiny new category, the question is no longer “what should we buy next?” It is “are we actually doing what we committed to, and can we prove it?”

That recalibration is playing out across the trust landscape as well. Here are five predictions worth paying attention to this year.

1. AI governance will become an operational discipline, not just a policy exercise

For the past couple of years, AI has been everywhere, and naturally, it has been dominating GRC conversations as well. But while adoption raced ahead and organizations embraced AI across functions, the people on the trust side of the equation were genuinely grappling with how to govern something moving this fast.

2026 is the year all that talk and intent are materializing into execution. AI governance is no longer something organizations are just discussing. It is something they are actively building and funding.

The regulatory environment is catching up as well. The EU AI Act is phasing in enforcement, with high-risk system obligations coming into effect this year. From California to New York to South Asia, the regulatory floor is rising quickly, and organizations are taking note.

But the real pressure is not coming solely from regulators. It is coming from inside organizations.

Every security leader at RSAC shared the same grounded concern: they do not fully know where their company’s data is going because of the number of AI tools employees are using. And it is not just shadow AI. The vendors you have already approved are quietly becoming AI companies. They are embedding AI features into products you procured for entirely different reasons, so your existing vendor relationships now carry AI risk that nobody explicitly signed off on.

Sprinto’s own AI Pulse Check Report found that 69% of organizations have already allocated dedicated budgets to manage AI-related risks in 2026. That is a significant signal. Budget is where intent becomes execution. It means boards are aligned, leadership is bought in, and AI risk is no longer an unfunded aspiration sitting in someone’s backlog.

At the same time, the report found that only 25% of organizations have the governance maturity to actually execute on those budgets effectively. And 39% have AI usage policies that exist on paper but are not consistently enforced. So the gap between awareness and operational readiness is still wide.

Sprinto’s prediction for the trust landscape: The organizations that build AI governance as a real operational function this year will separate themselves from the rest. Not because they had the best policies, but because they had the infrastructure to enforce them. In a clear signal, Gartner expects spending on AI governance platforms to hit $492 million this year and surpass $1 billion by 2030.

2. The audit trust model will be forced to rebuild around depth and independence

In 2026, audit reports, auditors, and compliance vendors are under a level of scrutiny the industry has not seen before. Enterprise buyers are digging deeper and questioning the depth of the audits they have been relying on. And the broader market is reckoning with something that has been building quietly for years.

As SOC 2 became more widely demanded, particularly among SaaS companies selling to enterprises, the market responded with speed and scale. More vendors entered the space, timelines compressed, and somewhere along the way, quality became harder to monitor. SOC 2 was not just a compliance requirement anymore. It became a commodity, and with commoditization came shortcuts.

That should never have happened.

SOC 2 is a trust certificate. The process behind it demands professional skepticism, independent verification, and genuine scrutiny of evidence. When any part of that process becomes performative, the trust it represents becomes hollow. The Journal of Accountancy has noted the growing friction between the pressure to deliver “fast and easy” SOC examinations and the rigor these reports actually require. That friction is not new. What changed is that the industry finally started paying attention.

We believe the bar should have been higher from the start. A compliance report should reflect real controls, real evidence, and real accountability.

The compliance landscape is shifting. Enterprise buyers are asking harder questions about who conducted the audit and whether there are conflicts of interest. Organizations are re-evaluating the vendors and audit firms they work with. 

Our prediction for the trust landscape: We will see a growing segment of organizations and buyers who demand real depth and genuine auditor independence. If you have been treating your SOC 2 report as a trust badge without examining how it was produced, this is the year to change that.

For the broader industry, this is actually a healthy correction. Trust has to be earned through depth, not speed. And if you take audit selection seriously rather than optimizing for the fastest or cheapest path, you will find yourself in a much stronger position as the market raises its standards.

3. Autonomous trust systems will emerge as the next evolution of GRC

For the past several years, the compliance industry has been on an automation journey. And we believe that 2026 will firmly mark the beginning of the next evolution of trust.

If you have been doing this work long enough, you remember when entire programs ran on emails, spreadsheets, and documents. The move from structured GRC platforms to rules-based automation was a massive leap forward. It stripped away the busywork that was draining compliance teams and made the work executable for the first time.

But automation is hitting a ceiling, and the reason is important to understand.

The rate of change across the landscape is straining both the systems and the people managing them. Engineering teams deploy changes hourly. Business units adopt AI tools in minutes. Vendor ecosystems shift constantly. Regulations arrive from multiple jurisdictions simultaneously. The sheer volume of what you need to track and respond to is overwhelming the tools that were built for a slower-moving world.

Current GRC tools operate on the assumption of stability. They execute predefined tasks on a fixed schedule. That assumption made sense when a quarterly access review captured something real and an annual audit reflected an organization that still largely resembled itself from the previous cycle. But that is no longer the world we live in.

As we explored in our recent piece on why autonomous trust is the way forward, this creates what we call the “assurance gap”: the distance between what your compliance documentation says and what your organization actually is. Automation confirms that a process happened. It cannot tell you whether that process still means what it meant when you first set it up.

So autonomous systems will emerge. And this is not unique to GRC. Similar parallels are playing out across every function where the pace of change has outgrown the pace of human-driven workflows. The next evolution is from automation to autonomy. Automated systems flag problems and surface data for humans to act on. Autonomous systems go further. They detect control drift, diagnose the root cause, and initiate corrective action, often before anyone notices the issue. Not by replacing humans, but by elevating their role. When the system handles routine detection and follow-up, your people are freed up for the work that actually requires judgment.

Our prediction for the trust landscape: Automation manages tasks. Autonomous trust manages outcomes. For GRC teams that are stretched thin and managing more obligations than ever before, that difference is everything. The organizations that move toward autonomous trust this year will not just be more efficient. They will be structurally better positioned to handle the compounding complexity we are seeing across every other prediction on this list.

4. Vendor risk will compound to a point where current TPRM models break

Managing third-party risk was never easy, but in 2026, it is becoming meaningfully harder, and the reasons are compounding.

The number of vendors that organizations manage keeps growing. And the relationships are running deeper than ever. They are embedded integrations with access to sensitive data, APIs woven into your infrastructure, and operational dependencies that run through your organization, often in ways invisible to the people responsible for governing them.

Now, AI is introducing another layer of complexity. Unexpected connections between vendors. Embedded AI features that change what your vendors actually do with your data. 

What we are hearing consistently, in conversations with GRC leaders and across the industry, is that the traditional model is straining. You send out security questionnaires. Vendors take weeks to respond, or do not respond at all. You do annual reviews, but by the time you complete them, the vendor’s product has already changed. You have a handful of critical vendors you watch closely, but the long tail of your vendor ecosystem remains largely ungoverned.

And the threat landscape is not standing still. Vendor supply chain attacks are increasingly common. Deepfake-based vendor impersonation, which sounded hypothetical a year ago, is now documented in real incident reports. Regulators are responding too: NIS2 now explicitly mandates supply chain risk management, and DORA requires financial institutions to maintain full accountability for outsourced ICT functions.

Our prediction for the trust landscape: The questionnaire-based, annual-review model of TPRM will not survive this level of complexity. Organizations will need to move toward continuous vendor evaluation, live risk profiles that reflect how vendors actually behave over time, and governance that adapts automatically as obligations change. The organizations that recognize this early and invest in that shift will have a significant advantage over those still waiting for questionnaire responses that were outdated the moment they were sent.

5. Proving trust proactively will become a competitive differentiator, not just a nice-to-have

In 2026, the organizations that lead in the trust landscape are not just the ones with the strongest security posture. They are the ones that have the best programs to prove it.

Think about how the buyer experience has changed. As we discussed in the audit section, enterprise buyers are looking more closely at compliance certifications and finding that certifications alone are not enough. They want continuous assurance. Proof that security controls actually exist and are working, not just from a compliance checkbox point of view, but as a lived reality. They want visibility into your vendor oversight, your data residency commitments, and your incident response posture. And they want it continuously, not as a static PDF that was generated months ago.

This is why we wrote about how leading companies are proving AI trust and making that visible through dedicated trust pages that go far beyond a badge wall. The companies getting this right are treating trust as a product feature: visible and continuously updated. As competitive landscapes get more crowded, how you prove trust and how frictionless you make that experience for prospects is becoming a genuine differentiator.

And there is a related shift worth paying attention to because the scope of what organizations need to prove is expanding. Your organizational commitments are not just to regulators or framework bodies. They are to customers, through contract terms and SLAs. To partners through data-handling agreements. To the public, through trust statements and security pages.

All of those commitments are equally important. Forward-thinking organizations are now mapping and monitoring all of them, not just the ones tied to a specific certification. For you as a GRC professional, that means your role is becoming the connective tissue between every promise your organization makes and the evidence that you are keeping it. That is a bigger job, but fundamentally it’s also a more strategic one.

Our prediction for the trust landscape: Trust transparency will move from a marketing asset to a product requirement. The organizations that build this into their operations now, treating every commitment as something to be continuously monitored and proactively proven, will close deals faster and retain customers longer. The ones that wait will find themselves answering increasingly uncomfortable questions from buyers who have already seen what good looks like.

Bringing it together

AI governance demands operational infrastructure, not just policy. Audit scrutiny is forcing the market toward depth over speed. The move from automation to autonomy reflects a world that changes too fast for periodic reviews. Vendor risk is compounding because static approaches cannot keep pace with how modern vendor relationships actually work. And proving trust proactively is becoming the expectation, not the exception.

If there is a single thread running through all of this, it is that trust cannot be maintained as a checklist outcome. The organizations that recognize this and build their programs accordingly will not just stay compliant. They will earn the kind of trust that becomes a genuine competitive advantage.