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25/06/2026 10:27 pm
TL;DR: AI tools such as Microsoft Copilot can amplify existing permission gaps and identity hygiene weaknesses, increasing exposure to data leakage and compliance failures in environments that lack unified visibility, according to Netwrix. The governance issue is not the AI tool itself but the inability to connect data posture, access rights, and identity threat response in time.
NHIMG editorial — here’s why we think this discussion matters
Questions worth separating out
Q: How should security teams govern AI assistants that can reach sensitive business data?
A: Security teams should govern AI assistants by tying their permissions to the same identity and data controls used for people and service accounts.
Q: Why do AI-assisted workflows make access reviews less reliable?
A: AI-assisted workflows make access reviews less reliable because they can surface data through permissions that were never re-evaluated for current business need.
Practitioner guidance
- Join identity telemetry to data classification Correlate access logs, repository sensitivity labels, and alerting so analysts can see which identities touched which data classes during an event.
- Review over-shared collaboration spaces first Prioritise repositories, shared drives, and team workspaces where AI assistants can surface data that was already broadly reachable.
- Tighten entitlement review around AI-enabled workflows Re-certify access where copilots or similar assistants can retrieve or summarise information from hybrid environments with mixed ownership.
What to expect at the briefing
Netwrix's full webinar covers the operational detail this post intentionally leaves for the source:
- A practical walkthrough of automatic discovery and classification for sensitive and shadow data
- A fuller explanation of how DSPM and ITDR are combined in one deployable platform
- Response playbooks for real-time identity threat alerts in hybrid environments
- Audit and reporting workflows that support compliance and investigations
👉 Register for Netwrix's webinar on Copilot-era data and identity risk →
Copilot-era identity and data risk: are your controls keeping up?
Explore further
25/06/2026 10:58 pm
Unified control planes are becoming the baseline for AI-era governance. The article points to a familiar failure pattern: identity teams know who has access, data teams know what is sensitive, but neither view is complete on its own when AI assistants sit in the middle. That creates a governance blind spot across human, NHI, and AI-assisted access paths. Practitioners should treat unified visibility as a control design requirement, not an integration nice-to-have.
A few things that frame the scale:
- 1 in 4 organisations are already investing in dedicated NHI security capabilities, with an additional 60% planning to do so within the next twelve months, according to The State of Non-Human Identity Security.
- Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities.
A question worth separating out:
Q: How do you know if unified DSPM and ITDR is actually working?
A: You know it is working when an alert immediately identifies the affected identity, the sensitive data involved, and the response action needed. If analysts still need to jump between disconnected tools to answer those questions, the programme has visibility but not operational control. The goal is a single evidence chain from access to impact.
👉 Read our full editorial: Copilot-era data and identity risk needs unified DSPM and ITDR
