Traditional vendor questionnaires are no longer sufficient for modern third-party risk management. New research from CeFPro and ProcessUnity highlights how organizations are adopting evidence-first assessment models that leverage existing data, automation
Traditional
vendor questionnaires are no longer enough to support modern Third-Party Risk
Management.
Instead of beginning every assessment
with another lengthy request for information, organizations should make better
use of existing evidence, automate repetitive processes, and focus expert
attention only where genuine risk gaps remain.
That is the clear message emerging
from new research examining how third-party risk teams are modernizing their
assessment practices.
The report, From
Evidence to Action: How Leading Teams Modernize Third-Party Risk Management,
was compiled by The Center for Financial Professionals (CeFPro) in partnership
with ProcessUnity, one of the world’s leading providers of Third-Party Risk
Management software, AI Technology, and data solutions¹ that help organizations automate vendor assessments,
strengthen cyber risk oversight, and manage risk across the third-party
lifecycle
The report
demonstrates that as vendor portfolios expand, regulatory expectations
increase, and technology ecosystems become more interconnected, manual,
questionnaire-led operating models are struggling to keep pace.
The future
lies not in eliminating questionnaires altogether, but in using them as one
component of a broader, data-first assessment process.
The manual model
is reaching its limits
The report identifies manual effort as
one of the biggest obstacles preventing organizations from scaling their
third-party risk programs effectively.
According to the findings, 38% of
respondents still manually map vendor evidence to security controls using
spreadsheets or documents, while another 22% admitted their organizations do
not map evidence consistently and instead rely largely on narrative reviews.
Although these approaches remain
familiar and flexible, they become increasingly difficult to sustain as vendor
populations, evidence requirements, and regulatory scrutiny continue to grow.
The report also highlights where
assessment teams lose the greatest amount of time. Collecting evidence from
vendors was identified by 32% of respondents as the largest source of
operational friction, while 25% pointed to following up on missing information
or unanswered questions.
These findings suggest that much of
today's assessment workload is consumed not by analyzing risk, but by chasing
documentation, coordinating responses, and manually determining whether
available evidence satisfies specific control requirements.
Rather than
creating better risk insight, these activities often delay decision making
while placing increasing pressure on already stretched assessment teams.
That
operational drag is exactly what evidence-sharing networks are designed to
remove. Rather than every organization independently re-collecting the same
audit reports and certifications from the same vendors, a shared exchange lets
teams start from validated data and spend their limited hours on the reviews
that actually need human judgment.
Start with what
is already known
The report
argues that in order to build scalable risk management models, organizations
should not assume every vendor assessment must start from scratch. Instead,
they should build on data that’s already available to them, whether directly
from the vendor or from externally available data scans or risk indicators.
Previous
assessments, completed standard questionnaires, audit reports, certifications,
vendor profiles, and other supporting documentation provide a substantial
foundation before any new information needs to be requested.
As the
report explains, "A strong, scalable approach to third-party assessments
starts with what is already known, rather than treating each review as a
blank-slate exercise." Existing
evidence can then be connected to the controls under review, allowing teams to
identify precisely where information is already available, where evidence has
become outdated, and where genuine gaps still exist.
That change
in perspective fundamentally alters the purpose of follow-up activity. Instead
of repeatedly requesting broad sets of information, practitioners can
concentrate on validating specific controls that are relevant to the vendor
relationship or resolving clearly defined evidence gaps.
The report concludes that this
"reduces rework and moves assessments away from broad, repeated evidence
collection toward targeted validation."
Evidence should
drive the workflow
The research
also demonstrates why simply collecting more vendor information is not enough. Questionnaires continue to play an important
role by gathering structured information from vendors, but they should no
longer dictate the entire assessment process.
According to
the report, organizations frequently ask vendors for information they already
possess, creating unnecessary duplication while delaying meaningful validation
work.
A more
effective workflow begins with examining existing data, including inherent
risk, vendor profiles, prior assessments of the vendor in question, audit
reports, certifications, completed questionnaires, external security signals,
system access, processing activities, and service context.
By compiling
the existing information you have, teams can focus on the key areas of control
evidence they still need, and the number of repetitive questions can be
reduced.