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14/07/2026 6:06 pm
TL;DR: The governance issue is not just speed but how much third-party risk management depends on repetitive evidence handling instead of continuous control validation, with SecurityScorecard saying its acquisition of HyperComply is aimed at reducing manual security questionnaire work by 92% and accelerating vendor onboarding 10x, while automating responses from existing compliance documentation and human review.
NHIMG editorial — based on content published by SecurityScorecard: SecurityScorecard acquires HyperComply to reduce manual security questionnaire work by 92% and accelerate vendor onboarding 10x
By the numbers:
- HyperComply technology reduces this work by 92%.
Questions worth separating out
Q: How should security teams automate vendor questionnaires without weakening assurance?
A: Security teams should automate questionnaire drafting from controlled source documents, not from free-form prior answers alone.
Q: Why do manual questionnaires become a governance problem at scale?
A: Manual questionnaires slow trust decisions because they depend on people reassembling the same evidence again and again.
Q: What do teams get wrong about questionnaire automation in third-party risk management?
A: Teams often assume automation is valuable if it shortens cycle time, but speed alone does not improve assurance.
Practitioner guidance
- Validate evidence freshness before automating responses Tie each automated answer to a current source of truth, such as a control owner record, policy document, or system export.
- Map questionnaire domains to identity and access controls Build a crosswalk between questionnaire topics and the controls that actually govern them, including service account ownership, API key rotation, access reviews, and offboarding.
- Measure turnaround against control quality Track questionnaire cycle time alongside answer accuracy, review exceptions, and the percentage of responses backed by current evidence.
What's in the full analysis
SecurityScorecard's full post covers the operational detail this analysis intentionally leaves for the source:
- How the HyperComply integration is expected to fit into SecurityScorecard's platform over time.
- The acquisition timeline and what customers were told about support continuity during the transition.
- How the combined offering is positioned for GDPR, DORA, and NIS2 documentation pressure.
- The vendor's own description of how RespondAI uses compliance documentation and human verification.
Security questionnaires and TPRM automation: what changes for teams?
Explore further
14/07/2026 6:12 pm
Automation does not solve third-party risk if the source of truth is weak. A faster questionnaire process only improves governance when the evidence behind the answers is current, owned, and reviewable. If teams automate stale control narratives, they accelerate assurance theatre rather than assurance quality. Practitioners should measure whether automation is backed by living control records.
A few things that frame the scale:
- Companies maintain an average of 6 distinct secrets manager instances, creating fragmentation that undermines centralised control, according to The State of Secrets in AppSec.
- 43% of security professionals are concerned about AI systems learning and reproducing sensitive information patterns from codebases.
A question worth separating out:
Q: Who remains accountable when automated responses are used for vendor assurance?
A: The organisation submitting the response remains accountable, even if software drafts the text. Accountability sits with the control owner, the approver, and the governance process that decides when an answer can be reused. Automation can support compliance, but it cannot absorb responsibility for inaccurate or outdated assurance.
👉 Read our full editorial: Security questionnaire automation changes third-party risk governance
