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18/08/2026 2:17 pm
TL;DR: DLP selection in 2026 is being shaped by broader data movement across endpoints, cloud apps, email, and AI tools, with Safetica’s comparison arguing that coverage, deployment speed, compliance readiness, and GenAI and insider-risk visibility now matter most, according to Safetica. The real issue is not feature count, but whether a platform closes exfiltration paths without adding operational drag.
NHIMG editorial — based on content published by Safetica: a 2026 comparison of DLP platforms and selection criteria
By the numbers:
- With the average U.S. data breach now costing $10.22 million, DLP decisions carry clear financial risk.
Questions worth separating out
Q: How should security teams choose between integrated and dedicated DLP platforms?
A: Teams should choose based on where sensitive data actually moves, how much operational overhead they can absorb, and whether their native platform covers the full estate.
Q: Why does GenAI make DLP harder to manage?
A: GenAI increases the number of places where sensitive information can be entered, copied, or transformed outside traditional controls.
Q: What breaks when DLP only covers Microsoft 365 apps?
A: Coverage gaps appear wherever sensitive work happens outside the Microsoft stack.
Practitioner guidance
- Map exfiltration paths across all identity touchpoints Inventory the channels where sensitive data can move, including endpoints, email, cloud apps, USB media, and AI tools.
- Test DLP against non-Microsoft and hybrid workflows Run pilot policies against Linux endpoints, non-Microsoft SaaS, and proprietary file types such as CAD or design files.
- Add behavioural thresholds to content rules Combine sensitive-data detection with bulk-transfer, anomaly, and shadow IT signals so the platform flags risky intent, not just matching strings.
What's in the full article
Safetica's full comparison covers the operational detail this post intentionally leaves for the source:
- Platform-by-platform deployment considerations for endpoint, cloud, email, and hybrid environments
- Feature-level differences in insider risk handling, compliance mapping, and alert-tuning depth
- Operational trade-offs between Microsoft-centred DLP and dedicated cross-channel coverage
- Use-case detail for mid-market teams that need fast rollout with lower administration overhead
👉 Read Safetica's full 2026 DLP platform comparison and selection criteria →
DLP platforms in 2026: which control gaps matter most?
Explore further
18/08/2026 3:10 pm
DLP is becoming an identity-adjacent control, not just a content filter. Once data moves through SaaS, endpoints, and AI tools, the practical question is who can move it, from where, and under what context. That brings access scope, device trust, and user behaviour into the same governance discussion. Practitioners should treat DLP as part of the broader access-control stack, not a standalone file inspection layer.
A question worth separating out:
Q: How can security teams tell whether DLP is actually reducing risk?
A: Look for better prioritisation of high-value data, fewer noisy alerts, and clearer visibility into which identities can reach sensitive content. If the programme still depends on blocking events at the edge, it is probably measuring activity rather than reducing exposure.
👉 Read our full editorial: DLP in 2026: coverage, deployment speed, and GenAI risk
