Cisco Secure Workload

Cisco Umbrella CASB

Network Insight · Engineering Guide

Cisco Umbrella CASB: Cloud Visibility, Data Protection and Zero Trust Investigation

Cloud applications have changed where users work, where data is stored and where security decisions must be made. A modern Cloud Access Security Broker (CASB) approach is therefore not simply about blocking applications. It is about discovering cloud activity, understanding identity and data context, applying proportionate controls, and investigating what actually happened.

Discover

Identify sanctioned and unsanctioned SaaS activity and build visibility into the real cloud environment.

Decide

Combine identity, application, device, data and requested activity before making a policy decision.

Investigate

Correlate cloud, identity, DNS, web and security evidence to distinguish signals from confirmed incidents.

Engineering path Cloud Discovery → Context → Enforcement → Investigation
Network Insight · Interactive Architecture

Cisco Umbrella CASB Architecture Explorer

Explore how cloud application discovery, identity context, data protection and security policy fit together. Select any component to examine its engineering role.

Select an architecture component

Identity & policy Visibility & data Risk & response
01

Cloud Application Visibility: Discovering the Real SaaS Environment

Before a security team can protect cloud applications, it needs to understand what applications are actually being used. SaaS adoption rarely follows the approved application catalogue. Employees may introduce new services, connect third-party applications through OAuth, or move business data between platforms without the security team having complete visibility.

What CASB visibility needs to establish

  • Which cloud applications are being accessed?
  • Which applications are sanctioned and which are unknown?
  • Which users, devices and identities are involved?
  • What type of activity is taking place?
  • What data could be exposed or transferred?
  • How much risk does the application introduce?
Engineering principle Discovery comes before enforcement. A security control cannot reliably protect a cloud environment that it cannot see.

Cloud Application Visibility: Discovering the Real SaaS Environment

Cloud application security starts with visibility. Organisations may have an approved catalogue of SaaS services, but real-world usage is usually much broader. Users can introduce applications, connect third-party services through OAuth, and move business information between cloud platforms without those activities appearing in a traditional application inventory.

What the security team needs to discover

CASB visibility should establish which applications are being used, who is using them, what devices are involved, what activity is taking place and whether sensitive information may be entering or leaving the organisation.

SaaS application
User identity
Device context
Cloud activity
Data movement
Application risk
Why discovery matters

An unknown application is not automatically a security incident. It is a visibility signal that requires context. The security team needs to understand the application, its users, its data and its business purpose before deciding whether enforcement is appropriate.

CASB LAB 01 · CLOUD DISCOVERY

SaaS Discovery Explorer

Explore a simplified cloud environment and determine which applications require attention based on usage, approval status and risk.

Discovered SaaS Environment 6 applications
Microsoft 365 Low
Approved collaboration platform
Salesforce Low
Approved business application
Canva Medium
Unapproved SaaS usage detected
Dropbox Medium
External file-sharing activity
Unknown AI Tool High
Potential sensitive-data destination
GitHub Low
Approved development platform
Application Inspector
Application Microsoft 365
Approval Yes
Observed users 184
Risk Low
Engineering readout: Select an application to inspect its cloud-risk context.
02

Identity, Application and Data Context: Turning Cloud Activity Into Policy

Application identity alone is not enough to make a useful security decision. The same SaaS application may be appropriate for one user, device or dataset and unacceptable for another. CASB policy therefore combines multiple dimensions of context before determining what should happen to a cloud request.

Identity Who is making the request?
Device Is the endpoint trusted and healthy?
Application Is the SaaS service approved and appropriate?
Data What information is being accessed or moved?
Action What is the user attempting to do?
Policy principle

The strongest CASB decisions are contextual decisions: identity + device + application + data + activity. This allows security teams to apply controls proportionately instead of treating every cloud interaction as equally risky.

Identity, Application and Data Context: Turning Cloud Activity Into Policy

Once cloud activity has been discovered, the next challenge is deciding what that activity means. A CASB policy should not simply ask whether a user is accessing a particular SaaS application. It should evaluate the identity, device, application, data and requested action together.

Identity Who is making the request and what privileges do they have?
Device Is the endpoint trusted, managed and in an acceptable state?
Application Is the cloud service approved and appropriate for the organisation?
Data Does the activity involve sensitive or regulated information?
Action Is the user viewing, downloading, uploading or sharing data?
Context changes the decision

The same SaaS application can represent very different levels of risk depending on who is using it, what device they are using and what information they are attempting to move.

From signal to policy

Identity, application risk, data classification and activity context provide the evidence required to move from simple visibility toward a defensible security policy.

Network Insight · Interactive Policy Lab

CASB SaaS Access & Data Protection Engine

Change the identity, application, data sensitivity and requested action. Run the scenario to see how a sample CASB policy evaluates the available context and selects a response.

1. Configure the scenario

Application categories are illustrative policy inputs, not live reputation data.
The path affects which responses this example considers technically available.

2. Policy evaluation

Ready to evaluate

Awaiting scenario

Choose the scenario inputs, then run the policy engine to generate a decision and its explanation.

Decision reasoning
  • The engine evaluates the selected user, application, data and activity.
  • The available enforcement path limits the actions that can be taken.
Recommended next step
Run the scenario to see the recommended response.
Policy logic is deliberately simplified for learning. Real deployments require product-specific capabilities, identity signals, application support, licensing and validated organisational rules.
CASB POLICY LAB

CASB Policy Decision Engine

Evaluate cloud activity using identity, device posture, application risk, data sensitivity and requested action — rather than treating every SaaS request as equal.

Policy Inputs Context → Risk → Decision
Policy evaluation path
Identity → Device → SaaS → Data → Action → Policy
03

CASB Enforcement: DLP, SASE and Remote Browser Isolation

Visibility and policy decisions only become useful when they can drive an appropriate control. Modern cloud security can combine inline inspection, API-based controls, Data Loss Prevention (DLP), SASE enforcement and Remote Browser Isolation (RBI). The engineering challenge is choosing the right control for the evidence and the risk.

I
Inline CASB Inspect activity while the user is actively accessing a cloud service.
A
API CASB Inspect cloud-hosted data and activity through application integrations.
D
DLP Identify sensitive information and control inappropriate data movement.
R
RBI Isolate risky web content so the endpoint has less direct exposure.
Engineering principle: enforcement should be proportional to risk. Blocking, restricting, inspecting or isolating are different control responses and should be selected according to identity, application, data and activity context.

CASB Enforcement: DLP, SASE and Remote Browser Isolation

Visibility and policy decisions become operational security controls when they can trigger an appropriate enforcement mechanism. Modern cloud security architectures can combine inline CASB controls, API-based inspection, Data Loss Prevention and Remote Browser Isolation, often as part of a broader SASE architecture.

IN
Inline CASB

Inspect and control cloud activity while traffic or sessions are actively being used.

API
API CASB

Analyse data and activity already stored within connected SaaS platforms.

DLP
Data Loss Prevention

Identify sensitive information and apply controls to inappropriate data movement.

RBI
Remote Browser Isolation

Separate risky web content from the endpoint to reduce direct exposure.

Engineering principle

Enforcement should be proportional to evidence and risk. A mature cloud security architecture does not automatically block every anomaly; it selects the control that best matches the identity, application, data and activity involved.

Network Insight · Incident Investigation Lab

Shadow IT & Data Exposure Investigator

Act as the security analyst. Review a simulated SaaS security incident, examine the evidence and select a response supported by what the evidence actually establishes.

Investigation briefing A cloud application or SaaS activity has triggered an alert. Determine what is known, what remains uncertain and which containment or remediation action is justified.

1. Select an incident

2. Review the evidence

Incident ID: NI-CASB-104 · Simulated evidence · Times are illustrative

09:14:02
New SaaS destination observed

DNS and web gateway telemetry show connections to a service not present in the approved application catalogue.

Discovery signal
09:14:18
Repeated user activity

Several requests are associated with the same source identity, where identity mapping is available.

Activity pattern
09:16:40
Content exposure not verified

No SaaS audit record or API evidence has yet confirmed that sensitive files were uploaded.

Evidence gap
What is the most defensible initial response?

3. Analyst findings

Investigation not submitted

Select an incident, review its evidence and choose the response that best fits the facts. You will receive feedback explaining the evidence and limitations.

Analyst objective: separate a detection signal from a confirmed policy violation or data exposure.
Investigation checklist
STEP 1
Establish scope

Identify the user, application, activity, relevant time window and available data sources.

STEP 2
Corroborate evidence

Compare network records with SaaS audit events, identity logs and API evidence where available.

STEP 3
Apply proportionate response

Choose a supported control, preserve evidence and verify that remediation worked.

CLOUD PROTECTION CONTROL PLANE

Where Should the Control Live?

CASB is not a single enforcement point. Select a protection mechanism and inspect where it operates across the user request, cloud activity, stored data and endpoint exposure.

Inline CASB

Inline CASB provides visibility and policy enforcement while the user is actively accessing a cloud application.

Primary role
REAL-TIME
Control Placement Map Click a mechanism to compare coverage
User Request
Policy decision during active cloud access.
ACTIVE
Cloud Activity
Visibility into SaaS transactions and user actions.
CONTEXT
Stored Cloud Data
Inspection of data already residing in SaaS platforms.
LIMITED
Endpoint Exposure
Protection of the endpoint from risky web content.
LIMITED
Primary control point Supporting visibility
Engineering Readout Inline CASB is strongest when the organisation needs to evaluate and enforce policy during an active cloud session. It is about controlling the transaction as it happens.
Educational model: these mechanisms can overlap in real architectures. The important engineering question is where visibility is obtained, where policy is evaluated and where enforcement can actually occur.
04

Cloud Security Investigation: From Alert to Defensible Response

A cloud security alert is not automatically a confirmed incident. Effective investigation requires analysts to correlate the original signal with identity, SaaS activity, DNS and web telemetry, endpoint context and application evidence. The objective is to establish what happened, determine the confidence of the finding and select a defensible response.

01 · DETECT
Capture the signal Start with the alert, anomaly or suspicious cloud activity.
02 · CORRELATE
Build context Connect identity, application, DNS, endpoint and data evidence.
03 · VALIDATE
Test the hypothesis Separate supporting evidence from assumptions and missing data.
04 · RESPOND
Choose the action Contain, monitor, remediate or escalate according to confidence.
Shadow IT

An unknown SaaS application becomes more significant when combined with sensitive data movement, unusual identity activity or unexpected OAuth permissions.

Data Exposure

A suspected exposure should be investigated through the actual data classification, recipient, activity and available audit evidence rather than the alert alone.

Cloud Security Investigation: From Alert to Defensible Response

Security analytics becomes valuable when individual alerts can be connected to a broader evidence chain. A suspicious SaaS application, unusual OAuth permission or possible data exposure should therefore be investigated across identity, application, DNS, web, endpoint and audit evidence before an operational decision is made.

01 · DETECT
Capture the signal

Start with the alert, anomaly or suspicious cloud activity that triggered the investigation.

02 · CORRELATE
Build the evidence chain

Connect identity, SaaS, DNS, endpoint, data and audit information.

03 · VALIDATE
Test the finding

Determine what the evidence proves, what it suggests and what remains unknown.

04 · RESPOND
Choose the action

Contain, monitor, remediate or escalate according to confidence and business impact.

Shadow IT investigation

An unknown SaaS application becomes more significant when combined with unusual authentication, sensitive data movement, risky OAuth permissions or other supporting evidence.

Defensible response

The objective is not simply to react to an alert. It is to establish a sufficiently supported finding and select a response that matches the available evidence.

SECURITY INVESTIGATION LAB

Shadow IT Investigation Lab

Move from an alert to a defensible conclusion. Select an incident, collect the available evidence, correlate the signals and decide whether the activity represents a genuine security concern.

Unapproved SaaS Application

A previously unknown cloud application has appeared in enterprise traffic. Determine whether this is simply unsanctioned software or a genuine security concern.

NOT INVESTIGATED
Evidence Inspector 0 / 4 collected
Identity Telemetry Pending
Who performed the activity?
Awaiting collection
SaaS Activity Pending
What application activity occurred?
Awaiting collection
Data Evidence Pending
What information was involved?
Awaiting collection
Network / DNS Pending
What infrastructure or destination was involved?
Awaiting collection
Investigation readout
Begin by selecting an incident and collecting evidence. An alert alone is not enough to establish a security event.
Confidence
0%
Analyst finding No finding submitted. Collect evidence before deciding whether the alert represents a confirmed security concern.
Educational simulation: the evidence model is intentionally simplified. In a production investigation, analysts would combine identity, application, DNS/web, endpoint, DLP and SaaS audit evidence with organisational policy and incident-response procedures.
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