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27/06/2026 1:04 pm
TL;DR: AI tools such as Microsoft Copilot can amplify existing permission and identity hygiene gaps, increasing the likelihood of data breaches and compliance failures in environments that are not prepared, according to Netwrix. The practical lesson is that data posture and identity threat response now need to be governed together, not as separate security lanes.
NHIMG editorial — here’s why we think this discussion matters
By the numbers:
- Only 5.7% of organisations have full visibility into their service accounts.
- 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
Questions worth separating out
Q: How should security teams govern AI assistants that can access sensitive business data?
A: Security teams should treat AI assistants as access amplifiers, not as a separate control domain.
Q: Why do AI tools increase the risk created by over-permissioned identities?
A: AI tools increase risk because they make existing access easier to use, search, and share at scale.
Practitioner guidance
- Unify identity and data exposure review Create a shared review path for IAM and DSPM so teams assess sensitive datasets alongside the identities and workloads that can reach them.
- Reassess AI-enabled access against least privilege Before enabling tools such as Copilot on business repositories, verify that access is already tightly scoped and that broad read permissions are not acting as an invisible escalation path.
- Reduce shadow data exposure Identify data stored outside formal governance paths, including exports, collaboration spaces, and unmanaged repositories, then assign ownership and classification.
What to expect at the briefing
Netwrix's full webinar covers the operational detail this post intentionally leaves for the source:
- A walkthrough of how Netwrix 1Secure PRO combines DSPM and ITDR in one deployment.
- A practical demonstration of automatic discovery and classification of sensitive data, including shadow data.
- Examples of real-time alerts, response playbooks, audit reporting, and hybrid access visibility.
- Guidance on reducing over-sharing when tools like Copilot can reach business data.
👉 Register for Netwrix's webinar on converging DSPM and ITDR for Copilot risk →
Copilot data exposure and identity risk: are your controls aligned?
Explore further
27/06/2026 2:14 pm
Copilot-style data exposure is really a governance acceleration problem: the tool does not invent weak permissions, but it makes weak permissions operationally expensive much faster. In practical terms, existing IAM and data controls now have to answer the same question at machine speed that they previously answered at human speed: who can reach what, and should that still be true. The implication is that access governance and data posture can no longer be run as separate programmes.
A few things that frame the scale:
- 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, according to the Ultimate Guide to NHIs.
- 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: Who should be accountable when AI-assisted access leads to data leakage?
A: Accountability should sit with the programme that owns access governance across identity and data, not with the AI tool alone. If the leakage came from excessive entitlements, stale sharing, or poor classification, the failure is in governance. The responsible teams are usually IAM, data security, and the business owner together.
👉 Read our full editorial: Copilot exposure shows why data and identity controls must converge
