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10/07/2026 9:15 pm
TL;DR: Modern GRC should be measured by audit efficiency, risk visibility and trust outcomes, according to Drata, citing customer results such as 70 to 80% shorter audit preparation time, 15.7 million evidence items collected daily and more than 86 million hours saved annually. The governance lesson is that compliance automation only matters when it changes decision-making, exposure windows and business friction.
NHIMG editorial — based on content published by Drata: GRC automation metrics for audit readiness, risk visibility and trust outcomes
By the numbers:
- Customers using Drata as the platform their GRC program is built on typically cut audit preparation time by 70 to 80%.
- The platform automatically collects 15.7 million evidence items every day.
- Drata says its customers have saved more than 86 million hours annually across the ecosystem.
Questions worth separating out
Q: How should security teams measure whether GRC automation is actually improving control maturity?
A: Measure whether audit prep time, manual evidence effort, exception trends and response SLAs all improve together.
Q: Why do identity data quality and GRC performance depend on each other?
A: Because GRC reporting is only as accurate as the identity, control ownership and workflow data behind it.
Q: What do organisations get wrong when they rely on trust-centre automation?
A: They often automate responses without governing the underlying content.
Practitioner guidance
- Establish audit baselines before automating Capture current audit prep time, manual evidence effort and task volume before changing workflows, then compare every later cycle against the same baseline.
- Instrument evidence collection across control owners Connect identity systems, workflow tools and evidence sources so audit artifacts are collected continuously rather than assembled at the end of a cycle.
- Define risk SLAs by severity and ownership Set response windows for identifying, remediating or accepting risks, and route each item into a workflow with a named owner and due date.
What's in the full article
Drata's full article covers the operational detail this post intentionally leaves for the source:
- Drata's baseline and KPI template for audit prep time, evidence automation and task volume across recurring compliance cycles.
- The exact operational breakdown of risk visibility metrics, including control effectiveness, vendor monitoring and SLA tracking.
- How Drata structures trust centre reporting, questionnaire response workflows and AI answer accuracy checks for customer assurance.
- Examples of dashboard views and scorecard groupings for CISO, CFO and board-level reporting.
👉 Read Drata's analysis of GRC automation metrics and business outcomes →
GRC automation metrics: what they mean for security teams?
Explore further
10/07/2026 9:37 pm
Audit automation is only valuable when it shortens the control-evidence gap. Faster evidence collection matters, but the deeper governance issue is whether evidence arrives continuously enough to prove controls are working before an audit begins. Programmes that still rely on spreadsheet-driven collections are not just inefficient, they are exposing a measurement gap that weakens assurance. Practitioners should treat repeatable evidence pipelines as a core control capability, not an administrative convenience.
A question worth separating out:
Q: Who should be accountable for audit readiness, risk response and trust metrics?
A: Accountability should sit with the owners of the process, the control and the data, not only with the GRC team. Audit readiness needs evidence owners, risk response needs named operational owners, and trust metrics need content governance. Without that division of responsibility, dashboards become descriptive rather than actionable.
👉 Read our full editorial: GRC automation metrics are reshaping audit, risk and trust
