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Topic starter
20/08/2026 5:25 pm
TL;DR: CASB and DLP solve different parts of the same problem: CASB governs cloud access and activity, while DLP inspects content and prevents sensitive data from leaking across SaaS, endpoints, GenAI, and MCP workflows, according to Strac. The practical challenge is deciding whether your bigger gap is cloud control, data-centric enforcement, or both, because modern AI use has pushed data movement well beyond the corporate network boundary.
NHIMG editorial — based on content published by Strac: CASB vs DLP : How CASB differs from DLP?
Questions worth separating out
Q: How should security teams choose between CASB and DLP for SaaS data security?
A: Choose CASB when the main gap is cloud access governance, sanctioned app visibility, and policy enforcement at the service boundary.
Q: Why do cloud access controls fail to stop data leakage in GenAI workflows?
A: Cloud access controls can tell you who connected to a service, but they often cannot inspect the prompt, attachment, or output that carries the sensitive data.
Q: What do security teams get wrong about CASB and DLP integration?
A: They often assume integration alone creates complete coverage.
Practitioner guidance
- Map control ownership across app, identity, and data teams Define which team owns cloud access policy, which owns content inspection rules, and which owns exception handling so CASB and DLP do not drift into separate operating models.
- Prioritise SaaS and AI workflows for data inspection Start with collaboration tools, cloud storage, and GenAI entry points where sensitive records are most likely to be pasted, uploaded, or shared without adequate inspection.
- Align DLP rules to identity context Use user, device, location, and risk context to reduce false positives and make blocking decisions more precise in high-volume SaaS environments.
What's in the full article
Strac's full article covers the operational detail this post intentionally leaves for the source:
- Platform-specific deployment patterns for proxy, API, and agent-based CASB controls in cloud environments
- Detailed DLP feature coverage for redaction, masking, blocking, deletion, and incident workflow handling
- Practical examples of how SaaS, GenAI, and MCP protection policies differ at the implementation layer
- Vendor-side comparison points for teams deciding between cloud governance and data-centric enforcement models
👉 Read Strac's comparison of CASB and DLP for SaaS, cloud, GenAI and MCP security →
CASB vs DLP for cloud and AI data security: what teams miss?
Explore further
20/08/2026 6:14 pm
CASB and DLP are not competing controls but different governance layers. CASB governs where and how cloud access occurs, while DLP governs what content can move. Organisations that treat them as substitutes usually end up with a control gap at the exact point where identity and data handling intersect. The practical conclusion is that cloud access policy and content enforcement must be designed together.
A question worth separating out:
Q: How can organisations govern sensitive data moving through AI and MCP-connected apps?
A: Treat AI prompts and MCP-connected workflows as governed data paths, not informal user actions. Apply DLP classification and enforcement to the payload, then use CASB or identity context to understand who is moving it and from where. That combination gives security teams traceability, policy consistency, and better incident response.
👉 Read our full editorial: CASB vs DLP in SaaS, cloud, GenAI and MCP data security
