Why Does Your Existing TPRM Stack Need to Evolve?

Third-party risk management has always been one of the hardest mandates in GRC.

But if you’re running a TPRM program today, the pressure is more acute than ever. Maybe you’re still on spreadsheets and know it’s not sustainable. Maybe you invested in a platform that promised to fix things, but somehow made the work heavier. Or maybe you have a stack of tools that each handle a piece of the puzzle, but none of them talk to each other.

Beneath all of it, the core problem is the same: your TPRM stack was built for a slower, simpler vendor landscape. One where you assessed vendors once a year, security questionnaires got filled out eventually, and risk profiles stayed more or less static between reviews.

That world is gone.

Organizations are onboarding vendors at a significantly higher rate than even two years ago. Risk profiles are shifting fast as vendors embed AI into their products. And the regulatory bar keeps moving up.

This blog covers why your existing TPRM stack needs to evolve. If you’ve been feeling the cracks in your process or sensing that your tools just aren’t keeping up, this will help you make sense of what’s happening and why.

And importantly, this is all based on real conversations we’ve had with security and GRC leaders across the globe.

The Spreadsheet Problem Is Real, but It Is Not the Only Problem

Even today, a huge number of organizations still manage vendor risk entirely through Excel, email templates, and manual follow-ups. And it makes sense. Spreadsheets are familiar, comfortable, and there’s no learning curve. So the process stays the same: send a templatized email, wait for a spreadsheet back, try to make sense of it, and follow up a lot in between. 

A GRC lead at a logistics organization put it this way: “We send them a spreadsheet, they fill it out, they send it back, we try to work some magic. And then it is like one of those forgotten things where we do not send them one the following year.” This probably sounds familiar to a lot of you.

And it’s not just about the follow-through falling apart; the process itself is arduous.

A compliance leader at an enterprise IT services organization told us, “Everything is on an Excel format. The evidences that we have been uploading are all Excel-based. We add our comments, they add theirs, and then the gap analysis that follows is again manual. There is a huge amount of manual work.”

Spreadsheets are manageable up to a point. But they break at scale. They do not have recurring schedules built in, so assessments get forgotten. There is no central monitoring, so no one has a unified view of where things stand. And the burden goes beyond just maintaining the sheet. It is the constant back-and-forth you have to coordinate with vendors, internal stakeholders, and leadership who want reporting that a spreadsheet simply cannot provide. There is a lot of room for error. And the manual overhead just compounds with every new vendor you add.

But here is the thing. If spreadsheets were the only problem, the solution would be straightforward: buy a tool. Many organizations did exactly that. And they are still struggling.

Dedicated Platforms Are Not Solving the Problem Either

This is the nuance that gets lost in most conversations about TPRM modernization. The assumption is that moving from spreadsheets to a purpose-built platform fixes things. But what we are seeing across the industry tells a different story.

In one of our conversations with a compliance leader at a mid-market fintech, they described how they had invested in a GRC platform for compliance management and bolted on a separate vendor monitoring tool for external risk signals. However, the GRC platform’s evidence collection proved to require significant effort with a low return on investment. So the team tested it and rejected it. 

Now they had two tools, neither of which was fully doing the job, and the operational burden had not actually decreased. It had just changed shape. 

In another case, we saw a market research organization that had invested in a dedicated GRC platform to manage TPRM. They went through the full evaluation and implementation cycle. And after all of that, they went back to managing everything manually with spreadsheets. Think about what that says. A team concluded that the friction of maintaining a purpose-built tool was actually worse than the friction of not having one at all.

In other conversations, we found that some organizations had migrated away from large, established GRC platforms because using and maintaining them for TPRM did not justify the cost. Others were running expensive, resource-intensive in-house tools that were costly to sustain. But one theme was common across all of these: they were looking for something that works differently at its core. Not just a different version of the same approach.

And naturally, there is a whole category of organizations using platforms that were never designed for vendor risk. Be it running procurement through an ERP system with zero vendor risk management capabilities. Or managing audits and TPRM through a combination of SharePoint and Excel. 

One of the people we spoke to was doing exactly that, and they described the setup simply as “insufficient for operations.” These teams are not even choosing the wrong TPRM platform. They are trying to force-fit a non-TPRM tool to do TPRM work because no one in the organization has carved out the budget or mandate for a dedicated solution.

The Fragmented Stack Creates Its Own Category of Pain

Between the spreadsheet camp and the dedicated-platform camp, there is a third group that may be the most common of all: teams running TPRM across multiple disconnected tools.

We have seen this play out in several ways. Organizations are dealing with duplicate efforts and audit issues because policies, risks, and assets are spread across separate platforms. Teams are relying on external tools for security questionnaires because their primary platform cannot handle conflicting responses. Others are wrestling with HR system sync problems and hundreds of risk questions that need consolidation before anything works properly. 

The specifics differ, but the underlying issue is always the same.

Each tool in the stack handles one piece well enough. But the gaps between tools are where things break. And the person responsible for making it all work, probably alone, spends more time reconciling systems than actually assessing risk.

This fragmentation also makes it nearly impossible for leadership to get a clear picture of the vendor risk posture. If you have ever tried to explain your vendor risk posture to a board member and found yourself pulling up three tabs and a spreadsheet to piece together the answer, you already know the problem. 

One compliance leader we spoke to put it this way: “There is no central place to basically continuously monitor everything. Nobody has a central view on the progress of everything.” 

When the best you can offer is a spreadsheet with a progress bar, TPRM is presented as an operational chore rather than a strategic function. And that makes it harder to get the budget you need. 

Small Teams, Big Mandates, No Room for Error

Now layer a staffing reality on top of all these tool challenges. Your GRC manager is juggling multiple responsibilities alongside TPRM. They are responding to customer security questionnaires, preparing for upcoming audits, managing policy updates, tracking risk exceptions, and coordinating across teams.

As many of you can probably relate, one security leader at a fast-growing SaaS organization told us he’s essentially running the entire GRC function solo: “I am a one-man army. I am keeping the lights on for all the different audits, I am answering security questionnaires, I am doing third-party risk management, attending calls with customers, and setting strategy for future certifications. Trust center maintenance, policy governance, and risk management. My hands are full.”

If you’re in GRC, chances are you’ve been in that exact position, or you’re in it right now.

At another organization we spoke with, the entire compliance function was two people: a compliance lead and a paralegal. One handles compliance, the other handles legal, and together they aim to complete vendor due diligence as quickly as possible. That is the whole team.

When the team is this thin, TPRM becomes reactive by default. You deal with what is in front of you. The vendor whose SOC 2 expired three months ago? You will get to it when a client asks about it. The new AI tool your engineering team adopted last week? You will find out about it when it appears in your next access review, if it does at all.

This is a fundamental capacity problem. When you are relying on spreadsheets or tools that are not built for the scale and speed of modern vendor risk, there is only so much a small team can do. And that is exactly why the conversation needs to shift. Not toward tools that help you do the work faster, but toward systems that can do meaningful portions of the work for you.

The AI Vendor Explosion Is Outpacing Every Existing Setup

Here is where the urgency becomes impossible to ignore. Your vendor ecosystem is changing faster than any of your current tools can track. It does not matter whether you are on a spreadsheet or a platform.

If you have had that sinking feeling when you discover your engineering team has onboarded a new AI tool without telling you, you are not alone. A CISO at a mid-market communications organization described it this way: “Our AI engineering is on a buying spree, and that is a big space which worries me a lot. Some of the vendors I see have like three months of history, and an auditor whose website does not exist. And we have to obviously see what kind of data we are exposing to these third-party vendors.”

That same leader captured the broader shift in a single sentence: “Every vendor under the hood is becoming an AI vendor. You want to know what AI tool they are using, whether they are using my data to train their models or not.” Sound familiar?

This is not just about new AI startups entering your ecosystem. It is about existing vendors quietly adding AI capabilities to products you already approved. Your CRM now has an AI assistant. Your HR tool uses AI for screening. So forth and so on.

Traditional TPRM assumes security review happens before vendor adoption. In most organizations today, it happens after, sometimes months after. But the real shift is recognizing it should be continuous. Your stack needs to account for that inversion, building ongoing assurance into the workflow from the start.

Why the Answer Is Not Just “Better Tools” but Autonomous TPRM

If you look at how TPRM is actually being done today, a pattern emerges. Spreadsheets fail because they are entirely manual and have no memory. Dedicated platforms fail because they shift the manual work rather than eliminate it. And fragmented stacks fail because they create data silos and reconciliation overhead. But all of these approaches share one structural weakness: they assume a human will always be in the loop for every decision, every follow-up, and every assessment.

That assumption no longer holds. When you have lean teams managing hundreds of vendors, with new AI tools being adopted weekly and vendor risk profiles shifting between assessments, you need a system that can operate with a degree of autonomy. 

This is the distinction between automation and autonomy. And it matters. Automated TPRM flags problems and surfaces data. That is certainly better than spreadsheets. 

But autonomous TPRM goes further with contextual decision-making. It discovers new vendors through SSO activity, browser extensions, and endpoint app detection via an MDM before anyone submits a request. It analyzes uploaded SOC 2 reports and flags gaps, expired certifications, and missing controls without waiting for you to read the document. It maintains live risk scores that combine internal assessment data with external intelligence, which update as conditions change. It automatically follows up on vendor questionnaires, escalates when responses are late, and schedules recurring reassessments that actually recur.

The difference shows up in outcomes. When the system handles vendor discovery, document analysis, risk scoring, and follow-ups, you can focus on the work that actually requires your judgment. Interpreting edge cases. Advising the business on risk trade-offs. Making the calls that a system simply cannot make on its own.

The goal of autonomous TPRM is not to remove you from the process. It is to remove you from the parts that never needed your expertise in the first place, so you can spend more time on the parts that do.

Where to Start

If you are looking at your current setup and recognizing some of these patterns, here is a practical way to think about next steps.

First, be honest about where you actually are. Map out how a vendor goes from request to approved in your organization. Count every email, every spreadsheet, every tool handoff, every manual step. If you are on a platform, track how much time you spend feeding the platform versus actually assessing risk. This baseline matters. It tells you whether your next move should be consolidation, replacement, or something fundamentally different.

Second, quantify what is falling through the cracks. How many of your vendors have been assessed in the last 12 months? How many have added AI capabilities since their last review? What is your security questionnaire response rate? Some organizations report rates as low as 18 percent. If your numbers look anything like that, you do not need a better process for chasing vendors. You need a system that handles it for you.

Third, evaluate your next tool on autonomy, not features. The next platform you choose should not just have a longer feature list than your current one. It should reduce the number of decisions that need your direct involvement. Ask the vendor to show you what happens when no human touches the system for a week. If nothing happens, the tool is not autonomous. It is just automated.

Fourth, scope it down before you scale it up. You do not need to overhaul your entire vendor program at once. Take the highest-risk vendors you identified in step one, move them into a new workflow, and prove the value there first. If the tool you picked in step three is genuinely autonomous, this should free up capacity fast, not add to your workload. Once you see that, expanding is an easy conversation.

The TPRM landscape has shifted in ways that no existing approach was designed to handle. The organizations that recognize this and move toward autonomous, AI-native vendor risk management are not just getting ahead of the problem. They are changing what it means to manage third-party risk with a lean team in a fast-moving environment. And the gap between those organizations and everyone else is only going to widen.