Netskope vs Zscaler: what CASB choice changes for SaaS governance

At a glance

What this is: This is a Zluri comparison of Netskope and Zscaler that maps their CASB, DLP, SWG, and visibility capabilities against SaaS governance needs.

Why it matters: It matters because IAM, IGA, and security teams need to decide how cloud app access, data controls, and visibility will be governed across SaaS sprawl.

By the numbers:

• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
• Only 5.7% of organisations have full visibility into their service accounts.
• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.

👉 Read Zluri’s full comparison of Netskope vs Zscaler for SaaS security

Context

CASB buying decisions often look like feature comparisons, but the governance issue is broader: organisations need to control cloud application access, data movement, and app risk across managed and unmanaged services. In practice, that means deciding whether the control plane is built around visibility, policy enforcement, or adjacent security functions such as ZTNA and DLP.

For IAM and SaaS governance teams, this is less about which logo wins and more about how cloud access is discovered, approved, monitored, and revoked across the application estate. The right choice depends on whether the programme needs tighter DLP controls, stronger cloud visibility, or a better way to map user activity to app risk.

Key questions

Q: How should security teams choose a CASB for SaaS governance?

A: Start with the governance problem you need to solve. If the priority is data visibility and policy enforcement across SaaS usage, choose the platform whose inspection model matches your traffic paths and app inventory. If ZTNA, SWG, and CASB need to work together, verify the control chain end to end rather than comparing feature lists in isolation.

Q: Why do unmanaged SaaS apps create identity governance risk?

A: Unmanaged SaaS creates risk because the organisation often cannot prove who owns the app, who can access it, or what data it can modify. That breaks review, offboarding, and accountability. Once app usage is invisible, identity governance becomes reactive, and revocation usually happens after exposure has already occurred.

Q: What breaks when cloud app visibility is fragmented across tools?

A: Fragmented visibility breaks the ability to assign ownership, enforce consistent DLP policy, and remove risky apps from circulation. Different telemetry sources often disagree on app usage or permissions, so security teams cannot confidently decide whether access should be approved, constrained, or revoked.

Q: How do security teams know if SaaS governance controls are working?

A: Look for evidence that discovered apps are being reviewed, ownership is assigned, risky sharing is reduced, and offboarding actions are completed. A dashboard alone is not proof of control. The strongest signal is when visibility leads to measurable reductions in unmanaged apps and data-sharing exceptions.

Technical breakdown

CASB, SWG, and ZTNA in the same control stack

Cloud Access Security Broker tools sit between users and cloud services to inspect activity, apply policy, and reduce risky data movement. Secure Web Gateway focuses on web traffic inspection and control, while Zero Trust Network Access gates private application access without exposing the network directly. The architectural difference matters because some platforms emphasise inline inspection and data controls, while others tie CASB to broader access and network policy functions. In SaaS environments, these controls are often complementary rather than interchangeable, especially when unmanaged apps and shadow IT are part of the risk picture. Practical implication: map the control you actually need, then verify whether the platform enforces it inline, by API, or through adjacent network controls.

Practical implication: choose the control plane based on how you need to enforce SaaS policy, not just on how many security categories the vendor lists.

DLP policy depth and data classification in cloud apps

Data Loss Prevention in cloud security is only useful when it can classify content accurately and enforce policy where the data actually moves. That usually means combining content inspection, metadata, contextual signals, and integration with SaaS APIs or inline traffic paths. Features such as OCR, exact data matching, file fingerprinting, and user activity monitoring matter because cloud leakage is often caused by collaboration, not obvious exfiltration. The key technical question is whether DLP can distinguish read-only access from modify or delete rights, and whether it can act consistently across SaaS, email, endpoint, and web channels. Practical implication: assess whether the DLP engine can enforce the same policy across both sanctioned and unsanctioned cloud usage.

Practical implication: validate that DLP can classify sensitive content and enforce policy across the SaaS paths your users actually use.

Shadow IT discovery and cloud app risk scoring

Shadow IT discovery is the process of finding cloud applications that users adopt without formal approval. The technical challenge is not just discovery, but also attributing usage, mapping risk, and deciding when an app should be reviewed or restricted. Platforms do this through identity providers, finance systems, browser signals, endpoint data, and direct integrations, then score apps based on data shared, compliance posture, and observed events. That model is useful only if the underlying inventory is accurate enough to support governance decisions. Practical implication: treat discovery as an input to app lifecycle governance, not as a standalone visibility dashboard.

Practical implication: use discovery results to drive app review, ownership assignment, and revocation workflows rather than passive reporting.

Threat narrative

Attacker objective: The attacker aims to exploit weak SaaS governance and uncontrolled cloud app access to move, expose, or manipulate sensitive data.

1. Entry occurs when users adopt SaaS applications through unmanaged channels, creating visibility gaps around where data and identities are flowing.
2. Escalation happens when those apps accumulate access to read, modify, or delete data across collaboration platforms without strong policy enforcement or review.
3. Impact follows as data exposure, compliance violations, and uncontrolled file sharing expand the organisation’s attack surface across cloud services.

Breaches seen in the wild

• Snowflake breach — Snowflake breach compromised Ticketmaster, Santander and others via cloud credential abuse.
• Salesloft OAuth token breach — hackers stole OAuth tokens to access Salesforce data via Salesloft.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

CASB buying decisions are really governance decisions about cloud data movement. The comparison between Netskope and Zscaler matters because SaaS risk is not just a connectivity problem. It is a question of whether security teams can see app usage, classify data, and enforce policy at the point where cloud collaboration happens. Practitioners should evaluate the control model, not the marketing category.

Shadow IT discovery is now an identity problem as much as an application problem. When users bring unmanaged SaaS into the environment, the control gap is not only unknown software, but unknown entitlements, unknown owners, and unknown data paths. That makes app review and offboarding part of identity governance, not just SaaS hygiene. The practical conclusion is that discovery must feed lifecycle action.

Identity blast radius: cloud apps that can read, modify, or delete shared data expand impact far beyond the initial user session. That blast radius is shaped by what the app can touch, what the policy engine can observe, and how quickly revocation can be executed. Teams should use this concept when deciding whether a CASB is primarily a visibility tool or an enforcement tool.

Visibility without lifecycle governance does not close the risk loop. Both platforms can surface app activity, but governance only improves when ownership, review, and revocation follow the findings. That means the operational question is whether the tool can support decisions on sanctioned, risky, and unused applications before exposure becomes persistence. Practitioners should judge the stack by follow-through, not by dashboards alone.

From our research:

• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, according to Ultimate Guide to NHIs.
• Only 5.7% of organisations have full visibility into their service accounts, which shows how often identity inventory still lags operational reality.
• For a broader control baseline, see Ultimate Guide to NHIs for lifecycle governance patterns that help close review and revocation gaps.

What this signals

Identity-driven SaaS governance will matter more than standalone app visibility. As environments accumulate more unmanaged cloud applications, security teams need a control model that connects discovery to ownership, review, and revocation. The presence of a dashboard is not enough if the organisation cannot remove risk from circulation.

Only 5.7% of organisations have full visibility into their service accounts, according to Ultimate Guide to NHIs, and that same visibility gap shows up in SaaS governance when apps are adopted outside formal approval paths. The lesson is that discovery tools should feed lifecycle action, not just reporting.

App risk scoring becomes useful when it changes decisions. If a platform can identify exposed sharing, high-risk permissions, or compliance drift, the next step is to review ownership and remove unnecessary access. That aligns better with NIST Cybersecurity Framework 2.0 than with passive monitoring alone.

For practitioners

• Map SaaS enforcement requirements before comparing tools Separate inline inspection needs, API-based scanning needs, and broader ZTNA requirements so the platform selection matches the control objective rather than the product category.
• Tie app discovery to ownership and review workflows Use discovered applications, active users, and data-sharing signals to assign accountable owners and trigger review when an app becomes unmanaged or over-privileged.
• Prioritise DLP controls for high-risk collaboration paths Focus on read, modify, and delete permissions across SaaS apps, email, and endpoints, then validate that policy enforcement is consistent across those paths.
• Use app risk scores to drive offboarding decisions When an application is no longer needed or cannot meet policy requirements, remove access and revoke the app from the approved stack instead of leaving it in a watchlist.

Key takeaways

• CASB selection is a governance decision about how cloud access, data movement, and app risk are controlled across the SaaS estate.
• Visibility matters only when it leads to ownership, review, and revocation of unmanaged or over-privileged applications.
• Security teams should judge SaaS control platforms by their ability to enforce consistent policy, not by feature count alone.

Key terms

• Cloud Access Security Broker: A Cloud Access Security Broker is a control layer that sits between users and cloud services to enforce policy, inspect activity, and reduce risky data movement. In practice, it combines visibility, content inspection, and policy enforcement across SaaS and web access paths.
• Shadow IT: Shadow IT is the use of applications or services without formal approval or governance. It becomes an identity and data risk when security teams cannot determine ownership, access scope, or the data those applications can reach.
• Data Loss Prevention: Data Loss Prevention is a control set that identifies sensitive data and restricts how it can be copied, shared, or moved. In cloud environments, effective DLP depends on content classification, context, and consistent enforcement across multiple access paths.
• SaaS Governance: SaaS governance is the process of discovering, reviewing, approving, and retiring cloud applications in a controlled way. It links application inventory to identity ownership, access review, compliance checks, and offboarding so that usage does not drift outside policy.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.

This post draws on content published by Zluri: Security & Compliance Netskope vs Zscaler: Which One Suits Your Requirements Better? Read the original.