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18/08/2026 2:40 pm
TL;DR: Copy and paste has overtaken file transfers as a leading data exfiltration path, with 77% of employees using generative AI tools to paste data and 82% doing so through unmanaged personal accounts, according to Seclore and the 2025 Browser Security Report. The security problem is now fileless leakage at the clipboard and browser layer, where traditional DLP visibility breaks down.
NHIMG editorial — based on content published by Seclore: Ctrl+C and Ctrl+V are the Latest Major Data Exposure Risk
By the numbers:
- Copy-and-paste has now surpassed file transfers as the leading method for corporate data exfiltration, with 77% of employees using generative AI tools to paste data.
- 82% of employees who use copy and paste for generative AI do so via unmanaged personal accounts, outside corporate control.
Questions worth separating out
Q: How should security teams control copy-paste into AI tools without blocking normal work?
A: Start by classifying which data types are allowed in prompts, then enforce that policy in the browser and session layer.
Q: Why do browser-based AI workflows increase data leakage risk?
A: Because they encourage users to move sensitive text directly into external prompts, often outside traditional file controls.
Q: What breaks when DLP only watches files?
A: File-only DLP misses the moment when content is copied, pasted, or typed into a prompt.
Practitioner guidance
- Implement browser-aware data loss controls Deploy controls that inspect and govern copy-paste, typed text, screenshots, and prompt submissions inside browser sessions, not just file transfers.
- Restrict sensitive prompts in unmanaged accounts Block or degrade access when users attempt to paste classified content into personal or otherwise unmanaged AI accounts.
- Define AI usage rules by data class Publish explicit guidance for what data may be entered into external AI tools, including customer data, internal code, and strategy documents.
What's in the full article
Seclore's full article covers the operational detail this post intentionally leaves for the source:
- How file-level restrictions are used to disable copy, paste, print, and screen capture for sensitive documents
- How identity, context, and classification are combined in policy enforcement across permitted users and devices
- Why browser-aware controls matter when employees move between corporate and personal AI accounts
- How the approach is positioned to reduce leakage into chat tools, AI prompts, and unmanaged applications
👉 Read Seclore's analysis of copy-paste data exposure in AI workflows →
Copy-paste data loss in AI workflows: are your controls keeping up?
Explore further
18/08/2026 3:24 pm
Clipboard exfiltration is now an identity and governance problem, not just a data-loss problem. When a user pastes sensitive text into an external AI tool, the control failure is not only at the DLP layer but at the identity layer that should determine whether the action is permitted. Policy has to follow the user, the device, and the session context. Practitioners should treat copy-paste as governed data movement, not incidental user behaviour.
A question worth separating out:
Q: Who is accountable when employees paste sensitive data into unmanaged AI accounts?
A: Accountability usually spans security, identity governance, and data governance, because the failure is cross-control rather than purely technical. Security teams need the policy and enforcement layer, identity teams need assurance over who and what account is acting, and business leaders need clear acceptable-use rules. If unmanaged use is allowed, the organisation has already accepted part of the risk.
👉 Read our full editorial: Copy and paste has become a major data exposure risk
