Securing the Way Work Happens Now Work no longer happens in one place

Securing the Way Work Happens Now

Work no longer happens in one place

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Work no longer happens in one place

Five years ago, employees primarily worked inside business applications. Today, a single task may begin with a web search, continue in a SaaS application, involve one or more AI assistants, trigger an autonomous AI agent, and end with data being shared externally, all within minutes.

From the employee’s perspective, this is simply work. From the security team’s perspective, it spans multiple security domains that are typically managed separately.

The challenge is no longer securing web traffic, SaaS applications, or AI individually. It is securing the work that flows between them.

Browser Extensions

unmanaged add-ons

Open Internet

phishing, malware,

risky sites

GenAI Tools

prompts, outputs, sensitive data

Workforce

users + devices

SaaS Apps

files, tenants,

sharing, posture

AI Agents

actions, access, 
 automation

SaaS-to-SaaS

interconnections
 and data paths

Figure 1: The modern work surface. Security must follow the interaction, the data, and the context.

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Work no longer happens in one place

Five years ago, employees primarily worked inside business applications. Today, a single task may begin with a web search, continue in a SaaS application, involve one or more AI assistants, trigger an

autonomous AI agent, and end with data being shared externally, all within minutes. From the employee’s perspective, this is simply work. From the

security team’s perspective, it spans multiple security domains that are typically managed separately. The challenge is no longer securing web traffic, SaaS applications, or AI individually. It is securing the work that flows between them.

Figure 1: The modern work surface. Security must follow the interaction, the data, and the context.

SaaS Apps files, tenants,

sharing, posture

AI Agents actions, access, automation

GenAI Tools

prompts, outputs, sensitive data

Open Internet phishing, malware,

risky sites

Browser Extensions

unmanaged add-ons

SaaS-to-SaaS interconnections

and data paths

Workforce users + devices

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Questions CISOs need to answer

Which sanctioned and unsanctioned SaaS and AI tools are employees using?

What sensitive data is being uploaded, pasted, summarized, or shared?

Which AI apps, code assistants, desktop tools, extensions, and agents are active across the workforce?

Where do SaaS-to-SaaS connections create hidden exposure?

How can security controls reduce risk without slowing users or creating more operational complexity?

The pressure is increasing because AI adoption is moving faster than most governance programs. CISOs need a security approach that is ready for AI-powered work while still addressing immediate internet and SaaS security requirements.

CISOs’ priority: Enable secure productivity across web, SaaS, and AI while reducing blind spots in data movement and user activity

Questions CISOs need to answer

Which sanctioned and unsanctioned SaaS and AI tools are employees using?

What sensitive data is being uploaded, pasted, summarized, or shared?

Which AI apps, code assistants, desktop tools, extensions, and agents are active across the workforce?

Where do SaaS-to-SaaS connections create hidden exposure?

How can security controls reduce risk without slowing users or creating more operational complexity?

The pressure is increasing because AI adoption is moving faster than most governance programs.

CISOs need a security approach that is ready for AI-powered work while still addressing immediate

internet and SaaS security requirements.

CISOs’ priority: Enable secure productivity across web, SaaS, and AI while reducing blind spots

in data movement and user activity

SECURING THE WAY WORK HAPPENS NOW | 03

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One package for the modern work surface

Traditional security categories treat web browsing, SaaS adoption, and AI usage as independent concerns. Today’s employee workflows span all three continuously. Treating them as separate security projects creates policy gaps, operational complexity, and inconsistent visibility. The opportunity for enterprises is to secure the entire work interaction with one coordinated package.

Check Point SASE is designed to address these three connected domains CISOs now need to secure: users on the internet, business activity in SaaS, and the rapidly expanding world of workforce AI. The package combines three security domains into a single operational package that helps security teams avoid multiple disconnected point solutions for every risk surface.

Protect Users - Secure Web Gateway (SWG)

Secure internet access, application control, URL filtering, phishing and malware prevention, and on-device enforcement for a fast user experience.

Safe internet access

URL and application control

Threat prevention

On-device enforcement

Protect SaaS - Cloud Access Security Broker (CASB) + SaaS Security Posture Management (SSPM)

Inline SaaS controls and API-based SaaS Security for app control, tenant restriction, Data Loss Prevention (DLP), SaaS posture, discovery, and interconnections.

Inline SaaS controls

Tenant restriction

Inline and API DLP

SaaS posture and interconnections

Govern AI - Workforce AI Security

Workforce AI Security for AI app and agent discovery, granular governance, and AI-powered contextual DLP across emerging AI interactions.

AI app and agent discover y

Granular AI governance

AI-powered contextual DLP

Browser, desktop, code & agent coverage

Outcome: fast internet security + SaaS data protection + AI governance.

Figure 2: One package for web, SaaS, and AI security.

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Protect Users - Secure Web Gateway (SWG)

Secure internet access, application control, URL filtering, phishing and malware

prevention, and on-device enforcement for a fast user experience.

Safe internet access

URL and application control

Threat prevention

On-device enforcement

Protect SaaS - Cloud Access Security Broker (CASB) + SaaS Security Posture Management (SSPM)

Inline SaaS controls and API-based SaaS Security for app control, tenant restriction, Data Loss Prevention (DLP), SaaS posture, discovery, and interconnections.

Inline SaaS controls

Tenant restriction

Inline and API DLP

SaaS posture and interconnections

Govern AI - Workforce AI Security

Workforce AI Security for AI app and agent discovery, granular governance, and AI-powered

contextual DLP across emerging AI interactions.

AI app and agent discovery

Granular AI governance

AI-powered contextual DLP

Browser, desktop, code & agent coverage

Outcome: fast internet security + SaaS data protection + AI governance.

Figure 2: One package for web, SaaS, and AI security.

One package for the modern work surface

Traditional security categories treat web browsing, SaaS adoption, and AI usage as independent

concerns. Today’s employee workflows span all three continuously. Treating them as separate security projects creates policy gaps, operational complexity, and inconsistent visibility. The opportunity for enterprises is to secure the entire work interaction with one coordinated package.

Check Point SASE is designed to address these three connected domains CISOs now need to secure:

users on the internet, business activity in SaaS, and the rapidly expanding world of workforce AI. The package combines three security domains into a single operational package that helps security teams avoid multiple disconnected point solutions for every risk surface.

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Protect the interaction, the data, and the context

Modern risk is often created by normal work activity: browsing, collaborating, uploading, summarizing, sharing, prompting, and automating. A CISO-friendly SASE solution should map controls to those everyday interactions.

Work interaction Risk to manage Relevant controls

User browses the web Phishing, malware, zero day attacks, risky destinations

SWG, URL filtering, application control, threat prevention

Unsanctioned apps, risky tenants, unmanaged access

CASB, tenant restriction, access controls, SaaS discovery

User uploads or shares data Sensitive data exposure, over- sharing, compliance violations

Inline DLP, API-based DLP, posture and sharing visibility

User prompts a GenAI tool Confidential data leakage through prompts or outputs

Workforce AI Security, AI- powered contextual DLP, browser-level controls

AI agent performs a task Unmanaged actions, unknown access, risky automation

AI agent discovery, risk assessment, granular governance

SaaS apps connect to each other

Hidden data paths, risky integrations, third-party exposure

SaaS-to-SaaS interconnection analysis, SSPM, threat prevention

User accesses SaaS

Protect the interaction, the data, and the context

Modern risk is often created by normal work activity: browsing, collaborating, uploading, summarizing, sharing, prompting, and automating. A CISO-friendly SASE solution should map controls to those everyday interactions.

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Work interaction Risk to manage Relevant controls

User browses the web Phishing, malware, zero day

attacks, risky destinations SWG, URL filtering, application

control, threat prevention

User accesses SaaS Unsanctioned apps, risky

tenants, unmanaged access

CASB, tenant restriction,

access controls, SaaS discovery

User uploads or shares data Sensitive data exposure, over-sharing, compliance violations

Inline DLP, API-based DLP,

posture and sharing visibility

User prompts a GenAI tool Confidential data leakage

through prompts or outputs Workforce AI Security, AI-powered contextual DLP, browser-level controls

AI agent performs a task Unmanaged actions, unknown

access, risky automation

AI agent discovery, risk assessment, granular governance

SaaS apps connect to each other

Hidden data paths, risky

integrations, third-party exposure

SaaS-to-SaaS interconnection

analysis, SSPM, threat

prevention

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Sensitive data moves through connected work in seconds

Goal: safe enablement for web, SaaS, and AI-powered work.

Employee

Browser, desktop 
 app, or code editor

SaaS App

Business records,

files, tenants

AI Tool / Agent

Prompts, summaries,

code, actions

Controls applied across the flow

External Exchange

Potential exposure or

risky automation

SWG

Blocks threats and 
 risky destinations

CASB

Controls SaaS

access, tenants, and 
 data movement

DLP

Detects and

prevents sensitive
 data exposure

Figure 3: A normal work task can move sensitive data across SaaS and AI tools.

Workforce AI Security

Discovers, governs,

and protects 
 AI interactions

Employee

Browser, desktop app, or code editor

SaaS App Business records,

files, tenants

AI Tool / Agent Prompts, summaries,

code, actions

External Exchange Potential exposure or

risky automation

SWG

Blocks threats and

risky destinations

CASB

Controls SaaS

access, tenants, and data movement

DLP

Detects and

prevents sensitive data exposure

Workforce AI Security Discovers, governs,

and protects AI interactions

Sensitive data moves through connected work in seconds

Goal: safe enablement for web, SaaS, and AI-powered work.

SECURING THE WAY WORK HAPPENS NOW | 06

Figure 3: A normal work task can move sensitive data across SaaS and AI tools.

Controls applied across the flow

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AI is the future of work. Security needs to be prepared.

AI adoption is becoming a permanent part of the enterprise workforce. Employees are already using public AI chatbots, embedded AI features in SaaS platforms, code assistants, browser extensions, desktop AI apps, and agentic workflows. The CISO mandate is to enable this adoption safely.

Workforce AI Security extends visibility beyond browser-based GenAI to desktop AI applications, coding assistants, AI agents, embedded SaaS AI features, and autonomous AI workflows. It helps security teams discover AI apps and agents, understand usage by user and session, apply granular controls, and detect sensitive data in prompts and AI interactions using contextual AI-powered DLP.

What makes AI security different

AI usage is often decentralized and fast-moving, creating shadow AI exposure

Risk depends on context, intent, and data sensitivity. Similar prompts can carry hugely different levels of business risk

AI agents can act on behalf of users, creating governance questions around access, transactions, and accountability

Security teams need visibility across browser-based AI, desktop AI, code assistants, SaaS AI features, extensions, and agents

AI is the future of work. Security needs to be prepared.

AI adoption is becoming a permanent part of the enterprise workforce. Employees are already using

public AI chatbots, embedded AI features in SaaS platforms, code assistants, browser extensions,

desktop AI apps, and agentic workflows. The CISO mandate is to enable this adoption safely.

Workforce AI Security extends visibility beyond browser-based GenAI to desktop AI applications,

coding assistants, AI agents, embedded SaaS AI features, and autonomous AI workflows. It helps

security teams discover AI apps and agents, understand usage by user and session, apply granular

controls, and detect sensitive data in prompts and AI interactions using contextual AI-powered DLP.

What makes AI security different

AI usage is often decentralized and fast-moving, creating shadow AI exposure

Risk depends on context, intent,

and data sensitivity. Similar prompts can carry hugely different levels of business risk

AI agents can act on behalf of

users, creating governance

questions around access,

transactions, and accountability

Security teams need visibility across browser-based AI,

desktop AI, code assistants, SaaS AI features, extensions,

and agents

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Workforce AI governance lifecycle

AI security requires continuous visibility, context, and control.

Monitor

dashboards and violations

Discover

AI apps, agents, users

Assess

risk, intent, sensitivity

Safe AI

adoption at scale

Protect

contextual AI DLP

Govern

access and usage

controls

Figure 4: Workforce AI Security supports a lifecycle of discovery, assessment, governance, protection, and monitoring. The

cycle repeats continuously.

Workforce AI governance lifecycle

AI security requires continuous visibility, context, and control.

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Figure 4: Workforce AI Security supports a lifecycle of discovery, assessment, governance, protection, and monitoring. The

cycle repeats continuously.

01

02

03

04

05

Safe AI adoption at scale

Discover

AI apps, agents, users

Govern

access and

usage controls

Assess

risk, intent, sensitivity

Protect

contextual AI DLP

Monitor

dashboards and violations

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Business outcomes CISOs can take to the board

The value of the package should be communicated as business enablement with security control. The goal is to let the organization use the internet, SaaS, and AI at speed while reducing risk and operational friction.

Safer AI adoption

Govern AI tools and agents while allowing employees to benefit from AI productivity.

Stronger data protection

Detect and prevent sensitive data exposure across SaaS, uploads, prompts, and AI workflows.

Better visibility

Improve understanding of web, SaaS, shadow SaaS, shadow AI, and AI activity across users.

Higher performance

Use on-device enforcement to reduce dependency on backhauling and gateway- heavy designs.

Reduced complexity

Package web, SaaS, and AI security into one coordinated buying and operating motion.

Prevention-first security

Apply Check Point threat prevention to reduce phishing, malware, and zero day risk.

Business outcomes CISOs can take to the board

The value of the package should be communicated as business enablement with security control. The goal

is to let the organization use the internet, SaaS, and AI at speed while reducing risk and operational friction.

Safer AI adoption

Govern AI tools and agents

while allowing employees to

benefit from AI productivity.

Stronger data protection

Detect and prevent sensitive

data exposure across SaaS,

uploads, prompts, and AI workflows.

Better visibility

Improve understanding of web, SaaS, shadow SaaS, shadow

AI, and AI activity across users.

Higher performance

Use on-device enforcement to

reduce dependency on

backhauling and gateway-heavy designs.

Reduced complexity

Package web, SaaS, and AI

security into one coordinated

buying and operating motion.

Prevention-first security

Apply Check Point threat

prevention to reduce phishing,

malware, and zero day risk.

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Figure 5: One work journey, three security domains, one unified protection. A normal work journey crosses all three domains

within minutes.

Summary

Within the modern workforce, employees simply move between web, SaaS, and AI as part of a single business workflow. Security should operate the same way: rather than deploying separate products for web security, SaaS protection, and AI governance, organizations can secure the entire work interaction through one coordinated architecture.

By combining high-performance Internet Access, SaaS Security, and Workforce AI Security into a single package, Check Point SASE helps organizations enable AI-driven productivity while maintaining prevention-first security, consistent policy enforcement, and operational simplicity.

Check Point SASE: One package to secure the modern work surface
 High-performance Internet Access + SaaS Security + Workforce AI Security 
 One architecture. One policy. One agent.

www.checkpoint.com  © 2026 Check Point Software Technologies Ltd. All rights reserved.

SECURING THE WAY WORK HAPPENS NOW | 10

Figure 5: One work journey, three security domains, one unified protection. A normal work journey crosses all three domains

within minutes.

Summary

Within the modern workforce, employees simply move between web, SaaS, and AI as part of a single

business workflow. Security should operate the same way: rather than deploying separate products for web security, SaaS protection, and AI governance, organizations can secure the entire work interaction through one coordinated architecture.

By combining high-performance Internet Access, SaaS Security, and Workforce AI Security into a

single package, Check Point SASE helps organizations enable AI-driven productivity while

maintaining prevention-first security, consistent policy enforcement, and operational simplicity.

Check Point SASE: One package to secure the modern work surface

High-performance Internet Access + SaaS Security + Workforce AI Security

One architecture. One policy. One agent.

www.checkpoint.com © 2026 Check Point Software Technologies Ltd. All rights reserved.