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20/08/2026 5:55 pm
TL;DR: Cyberhaven and Code42 Incydr both focus on insider-risk detection through endpoint visibility and data-lineage-style evidence, but the article argues that neither is built to remediate exposure inline, leaving SaaS, browser, and AI-agent leak paths undercovered, according to Strac. The broader issue is that visibility-first DLP still leaves organisations with proof after exposure rather than prevention at the point of data movement.
NHIMG editorial — based on content published by Strac: Cyberhaven vs Code42 Incydr (now Mimecast) - insider-risk DLP compared in 2026
Questions worth separating out
Q: What is the difference between detection-only DLP and inline remediation?
A: Detection-only DLP records that data moved or was about to move, then alerts or opens an investigation.
Q: Why do cloud and AI workflows complicate insider risk controls?
A: Because the data no longer leaves through one predictable path.
Q: How should teams evaluate insider-risk tools for SaaS and AI coverage?
A: They should test whether the tool can inspect content at the point of exposure, not just after a file leaves the endpoint.
Practitioner guidance
- Define the control objective before comparing tools Separate investigative visibility from inline prevention in your requirements.
- Map AI and browser data paths explicitly Inventory where prompts, uploads, copied text, and agent tool calls occur across browsers and connected apps.
- Separate endpoint evidence from data containment Keep endpoint lineage and user-risk scoring as part of the investigation workflow, but do not treat them as your only protection layer.
What's in the full article
Strac's full article covers the operational detail this post intentionally leaves for the source:
- Endpoint and SaaS coverage specifics for detection and remediation across major collaboration tools.
- Detailed remediation actions such as redaction, masking, blocking, tokenisation, and quarantine.
- Browser and GenAI coverage details for prompts in ChatGPT, Claude, Gemini, Copilot, and Perplexity.
- MCP connector handling and the AI-agent data paths that endpoint-only tools typically miss.
👉 Read Strac's comparison of Cyberhaven and Code42 Incydr for insider-risk DLP →
Cyberhaven vs Code42 Incydr: are your controls keeping up?
Explore further
20/08/2026 6:35 pm
Visibility-first insider-risk tooling is now a partial control, not a complete one. Endpoint agents can document how data moved, but they do not by themselves prevent disclosure in SaaS, browser, or AI-assisted workflows. That creates a governance gap for IAM, PAM, and NHI teams because the identity plane increasingly spans human users, service accounts, and delegated AI activity. Practitioners should treat forensic visibility as necessary evidence, not as exposure prevention.
A question worth separating out:
Q: When does endpoint visibility become insufficient for data-loss prevention?
A: Endpoint visibility becomes insufficient when the most sensitive data paths live in SaaS, browser workflows, or AI-assisted channels that can forward content outside the control boundary in seconds. At that point, lineage and alerting still help with forensics, but they no longer close the exposure window. Teams need content-level controls that act before disclosure is complete.
👉 Read our full editorial: Cyberhaven vs Code42 Incydr: insider-risk DLP gaps in 2026
