Context-Aware AI Input Inspection: CEP’s Answer to Shadow AI, Passkeys, and Endpoint Trust
May 14, 2026

Context-Aware AI Input Inspection: CEP’s Answer to Shadow AI, Passkeys, and Endpoint Trust

Shadow AI has moved enterprise data risk into the browser. Employees can paste sensitive data into unsanctioned AI tools, access generative AI services from unmanaged devices, or move information through browser sessions that identity controls alone cannot fully govern. Chrome Enterprise Premium helps bring threat protection, data protection, and Zero Trust access controls directly into the browser, while Browser Insights and CEP Accelerator help teams understand where browser-level exposure exists across the fleet.

Why has shadow AI become a browser security problem?

Shadow AI is a browser security problem because most AI usage begins in the browser.

Employees do not always need to install software to use AI tools. They can open a tab, paste content, upload files, summarize customer records, rewrite code, or generate reports in a web-based AI service. That makes the browser the point where enterprise data, user identity, device posture, and AI input all intersect.

The risk is not simply that employees are using AI. The risk is that security teams may not know which browser sessions are accessing AI tools, which devices are trusted, which users are copying sensitive data, or which extensions are interacting with those workflows.

Traditional identity controls can confirm who signed in. They cannot always answer whether the browser session is safe, whether the device posture is acceptable, or whether sensitive data is being entered into an unsanctioned AI tool.

Where does AI input risk come from?

AI input risk grows when sensitive enterprise data is entered into tools without enough browser-level control.

Common exposure points include:

  • Employees pasting customer data, source code, contracts, or internal notes into public AI tools.

  • Users accessing AI services from devices that do not meet enterprise trust requirements.

  • Browser extensions interacting with AI workflows or page content.

  • Outdated browsers that may not include the latest protections against session theft.

  • Restricted, suspicious, or non-HTTPS domains appearing in everyday browsing activity.

Passkeys help strengthen authentication, but authentication is only one part of the AI security problem. Google describes passkeys as phishing-resistant because they are bound to a website or app identity, and Workspace admins can allow users to sign in with passkeys that cover first and second-factor authentication.

But after access is granted, the browser still becomes the workspace where data movement happens. That is where AI input inspection and browser-level policy become critical.

Why do passkeys and endpoint trust matter for AI security?

Passkeys reduce credential phishing risk, while endpoint trust helps determine whether access should be allowed from a specific device.

Together, they help enterprises move beyond basic login security. A user may be legitimate, but the request still needs context. Is the device managed? Is the OS patched? Is disk encryption enabled? Is the browser managed? Is the user accessing a sensitive SaaS app or AI service from a risky environment?

Chrome Enterprise Premium supports context-aware access models that can use identity and request context, including device-related signals, to enforce more granular access decisions. Endpoint Verification can collect device attributes and make them available for access control decisions, including characteristics such as OS version, screen lock, firewall, disk encryption, and patch status.

That matters for shadow AI because access decisions should not depend on identity alone. Sensitive AI workflows need browser and device context.

Why traditional controls fall short

Traditional controls often focus on authentication, endpoint alerts, or network traffic. Shadow AI risk lives between those layers.

A user may authenticate successfully with a passkey. The endpoint may appear healthy. The network request may look like ordinary HTTPS traffic. But the browser session may still be used to paste confidential information into a tool the organization has not approved.

That creates three practical gaps:

First, security teams need to understand where risky browser conditions exist.

Second, they need browser-level enforcement to reduce unsafe data movement.

Third, they need a way to prioritize which devices and users require attention first.

Without those layers, shadow AI becomes a governance problem that is difficult to see and harder to control.

Chrome Enterprise Premium: securing AI use at the browser layer

Chrome Enterprise Premium helps organizations bring security closer to where AI usage happens: inside the browser.

Chrome Enterprise Premium is a secure enterprise browsing solution with centralized management, threat and data protection, and Zero Trust access controls for web applications. Its capabilities include configurable data loss prevention, real-time phishing and malware protection, URL filtering, and access controls for SaaS and web-based apps.

For shadow AI, this matters because browser-level controls can help reduce the risk of sensitive information being copied, pasted, uploaded, or entered into unsafe destinations. CEP does not need to treat every AI workflow as malicious. Instead, it gives security teams a control point for deciding which web apps are allowed, which data actions are restricted, and which access requests require stronger device trust.

That is the practical value of context-aware AI input inspection: it combines what the user is doing, where they are doing it, and what device context surrounds the session.

From Browser Insights: understanding AI exposure across the fleet

Browser Insights, the Chrome Readiness Tool, gives security teams device-level visibility into browser and extension risk across the enterprise fleet.

For shadow AI security, the most relevant signals include browser name, browser version, installed extensions, session theft vulnerability based on browser version, and accessed domains. The tool supports visibility across Chrome, Edge, Firefox, Vivaldi, Brave, and Opera.

This matters because shadow AI risk is rarely isolated to one browser or one device. An enterprise may have managed Chrome browsers, unmanaged secondary browsers, outdated versions, unverified extensions, and devices accessing restricted or non-HTTPS domains.

Browser Insights helps surface those conditions before they become larger security issues.

Outdated browsers are flagged as not protected for session theft vulnerability, while current versions are confirmed as protected. Unverified extensions are surfaced as a separate risk signal. Devices can also be reviewed through drill-down views, helping teams understand which machines carry elevated browser risk.

A device is considered secure when it has no unverified extensions and no access to restricted or non-HTTPS domains.

Where CEP Accelerator adds value

CEP Accelerator helps security teams move from visibility to prioritization.

It acts as a planning and visibility layer inside Browser Insights. It does not enforce policies, detect attacks, or perform automated remediation. Instead, it connects observed browser risks to the relevant Chrome Enterprise Premium capabilities that can help address them.

For shadow AI, that means CEP Accelerator can help teams connect findings such as outdated browser versions, unverified extensions, and risky domain access to the CEP controls that reduce exposure around session theft, extension governance, secure browsing, and data movement.

This is important because not every browser issue carries the same urgency. A device with an outdated browser, unverified extensions, and access to restricted AI-related domains should be prioritized differently from a fully current browser with no unverified extensions.

CEP Accelerator helps turn that distinction into a deployment plan.

Closing CTA

Shadow AI risk starts in the browser, but it does not have to remain invisible. Use Browser Insights to identify risky browsers, unverified extensions, and unsafe domain access across your fleet. Then use CEP Accelerator to prioritize where Chrome Enterprise Premium can reduce exposure first.

Blog Editors Team

Chrome Readiness Tool

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Why Legacy DLP Tools Are Blind to Browser-Based AI Workflows
May 14, 2026

Why Legacy DLP Tools Are Blind to Browser-Based AI Workflows

AI workflows are increasingly happening inside the browser, where employees research, summarize, paste, upload, copy, and move data across SaaS tools and generative AI applications. Legacy DLP tools were not designed for this kind of fast, browser-native, AI-assisted work. They often focus on files, endpoints, email, or network traffic, while missing the context of what users are doing inside authenticated browser sessions. Browser Insights helps security teams identify browser and extension risk across the fleet. Chrome Enterprise Premium brings threat and data protection closer to the browser, while CEP Accelerator helps teams prioritize where to deploy Chrome Enterprise Premium based on observed browser risk.

The AI Workflow Has Moved Into the Browser

Enterprise DLP was built for a world where data moved through predictable channels: email attachments, file shares, USB drives, managed endpoints, and sanctioned cloud storage. That world still exists, but it is no longer the whole picture.

Modern employees now work across web applications, SaaS tools, cloud dashboards, developer environments, collaboration platforms, and AI assistants through the browser. They paste customer data into prompts, upload documents for summarization, copy generated output into business systems, and move between sanctioned and unsanctioned tools in the same session.

This creates a new problem for security teams: the browser has become the place where sensitive data is transformed, not just transferred.

A legacy DLP tool may see a file upload or a network request. It may inspect an email attachment. It may block a known sensitive document from leaving a managed endpoint. But browser-based AI workflows are more fluid. Data can be copied from one SaaS application, pasted into an AI tool, summarized, rewritten, exported, and reused somewhere else within minutes.

The risk is not only data exfiltration. It is loss of control over where sensitive data goes, how it is transformed, and whether the organization can see the browser conditions that made the exposure possible.

Why are browser-based AI workflows hard for legacy DLP?

Browser-based AI workflows are hard for legacy DLP because they happen inside an interactive, authenticated, user-driven environment.

Traditional DLP often looks for sensitive data at known control points. It watches file movement, email flows, endpoint storage, cloud uploads, and network traffic. AI workflows in the browser do not always follow those patterns.

A user may copy sensitive content from a CRM record and paste it into a web-based AI assistant. Another user may upload a spreadsheet to a summarization tool. A developer may paste source code into an AI coding assistant. A finance user may ask an AI application to analyze confidential numbers. In each case, the action may look like normal browser activity unless the control understands the browser context.

Legacy tools can struggle because they may not know:

Is the user copying data from a sensitive web app?

Is the paste destination sanctioned or unsanctioned?

Is the browser current and protected?

Are unverified extensions present in the same browser environment?

Is the destination a restricted, non-HTTPS, or suspicious domain?

Is the data being uploaded, pasted, downloaded, printed, or transformed?

These details matter. AI workflows are not just about where data is stored. They are about how data is used inside the browser.

How do attackers and risky workflows exploit the gap?

The gap appears when browser activity looks normal to legacy controls but creates real data exposure.

An employee may use an AI tool to speed up work without realizing that sensitive data is being shared outside approved systems. A browser extension may introduce additional exposure by interacting with page content. An outdated browser may increase session theft risk. A non-HTTPS or restricted domain may create unsafe browsing conditions. A user may access multiple AI services from the same browser profile that also holds authenticated sessions for critical enterprise applications.

Not every exposure is malicious. Many are productivity-driven. But the security outcome can be the same: sensitive data moves into places where the organization has limited visibility and limited control.

Attackers can take advantage of the same blind spot. If a browser session is exposed, or if an unsafe extension has access to page content, the attacker may be closer to the data than a network-based DLP tool can see. If a user is redirected to a risky AI-themed site or phishing page, the activity may appear as ordinary web browsing until the data has already left the protected environment.

This is why browser context is essential. Security teams need to understand not only that data moved, but what browser, device, extension, session, and destination were involved.

Why traditional DLP controls fall short

Legacy DLP tools are still useful, but they were not designed to govern every action inside a modern browser session.

The first limitation is context. A network or endpoint control may see that data moved, but not always understand the user’s browser posture, the risk level of the destination, or whether the action occurred inside a sensitive web app.

The second limitation is workflow granularity. Browser-based AI work involves copy, paste, upload, download, print, screenshot, prompt entry, and response reuse. A tool that only evaluates files or outbound traffic may miss the smaller interactions that create exposure.

The third limitation is browser diversity. Many enterprises run multiple browsers across managed and unmanaged devices. Without browser-level inventory, it becomes difficult to know where exposure is concentrated.

The fourth limitation is extension risk. Extensions can change what happens inside the browser. They may request broad permissions, interact with page content, or create pathways that are difficult to evaluate through traditional DLP alone.

The result is a visibility and enforcement gap. Sensitive data increasingly moves through the browser, while many DLP programs still focus on control points outside the browser.

Chrome Enterprise Premium: Bringing DLP into the browser

Chrome Enterprise Premium helps address this gap by applying security closer to where browser-based AI workflows happen.

Chrome Enterprise Premium is Google Cloud’s secure enterprise browsing solution, providing advanced, integrated security directly within the browser. It delivers centralized management, threat and data protection, and Zero Trust access controls for web applications. Google’s documentation describes Chrome Enterprise Premium as helping defend against real-time phishing and malware, prevent data exfiltration with granular DLP policies, and enforce Context-Aware Access to apps directly in Chrome.

This matters for AI workflows because users interact with AI tools through the browser. Chrome Enterprise Premium extends data loss prevention protections into browser activity, helping organizations control actions such as copying, pasting, downloading, and printing.

Google also describes Chrome Enterprise Premium capabilities including content inspection, data loss prevention, anti-malware, anti-phishing, dynamic URL filtering, and site categorization.

For enterprises, the value is not that browser DLP replaces every existing DLP tool. The value is that it protects the control point legacy DLP often misses: the browser session itself.

How does browser-level DLP change AI security?

Browser-level DLP changes AI security by placing controls where users take action.

Instead of waiting until data leaves through a traditional channel, browser-level controls can help govern copy and paste, uploads, downloads, printing, and access to risky destinations inside the browser workflow. This is especially important when employees use AI tools to summarize documents, generate content, analyze spreadsheets, or transform sensitive information.

Chrome Enterprise Premium can help organizations apply more granular policy around browser activity. For example, a company may want to restrict copying sensitive data from a protected application into an unauthorized AI tool. It may want to reduce access to risky AI-themed domains. It may want better visibility into unsafe downloads or web destinations. It may want to enforce access controls based on user and device context.

This moves security closer to the moment of risk.

That is the key difference between legacy DLP and browser-native protection. Legacy DLP often reacts to data movement after it is packaged, transmitted, or stored. Browser-level protection can help govern the user interaction before the data becomes harder to control.

From Chrome Readiness Tool: Understanding browser exposure across the fleet

Browser Insights, the Chrome Readiness Tool, gives security teams device-level visibility into browser and extension risk across the enterprise fleet.

This visibility matters because AI workflow risk is not only about which AI tools employees use. It is also about the browser environment where those tools are accessed.

Browser Insights surfaces browser and extension details including browser name, browser version, and installed extensions across Chrome, Edge, Firefox, Vivaldi, Brave, and Opera. This helps security teams understand browser diversity and identify inconsistent posture across the fleet.

For browser-based AI workflows, the most relevant risk signals include session theft vulnerability based on browser version, unverified extensions, and access to restricted or non-HTTPS domains.

Outdated browsers are flagged as not protected, while current versions are confirmed as protected. Unverified extensions are surfaced because they can increase exposure inside the browsing environment. Restricted or non-HTTPS domains are important because unsafe destinations can become part of risky AI workflows, phishing paths, or data movement patterns.

A device is considered secure within Browser Insights when it has no unverified extensions and no access to restricted or non-HTTPS domains. Device-level drill-down helps teams investigate specific machines where browser risk is elevated.

For AI workflow governance, this is the visibility foundation. Before security teams can apply the right browser-level controls, they need to know which devices and browser conditions create the most exposure.

Where CEP Accelerator adds value

CEP Accelerator helps teams move from browser visibility to deployment prioritization.

Inside Browser Insights, CEP Accelerator acts as a planning and visibility layer. It does not enforce policies or detect attacks directly. Instead, it maps observed browser risks to relevant Chrome Enterprise Premium capabilities that can help address them.

For browser-based AI workflows, CEP Accelerator can help connect findings such as outdated browser versions, unverified extensions, and risky domain access to Chrome Enterprise Premium controls for stronger session protection, extension governance, secure browsing enforcement, and browser-level data protection.

This helps security teams prioritize action. A device with unverified extensions and access to unsafe domains may represent a higher priority than a device with fewer browser risk signals. A business unit using multiple AI tools through outdated browsers may require faster attention than a lower-risk group.

CEP Accelerator turns browser risk visibility into a practical deployment roadmap. It helps teams decide where Chrome Enterprise Premium can deliver the most value first.

Closing CTA

Legacy DLP cannot protect what it cannot see. As AI workflows move deeper into the browser, security teams need browser-level visibility and browser-level enforcement. Start with Browser Insights to identify exposed browsers, unverified extensions, and risky domain access. Then use CEP Accelerator to prioritize where Chrome Enterprise Premium can help close the browser-based AI workflow gap first.

Shadow Infostealers: The Browser Threat Hiding in Plain Sight
May 12, 2026

Shadow Infostealers: The Browser Threat Hiding in Plain Sight

The Browser Has Become the New Front Door for Credential Theft

Enterprise security teams have spent years hardening endpoints, enforcing MFA, and monitoring cloud applications. But attackers have adapted. Instead of only trying to steal passwords, they now target the browser itself.

That is where modern work happens. Employees access SaaS tools, developer platforms, finance systems, internal dashboards, customer data, and AI applications through the browser. Once users authenticate, the browser holds session context, saved credentials, cookies, tokens, and access pathways into critical enterprise systems.

This creates an attractive target for infostealers.

Shadow infostealers are especially dangerous because they often operate quietly inside or around the browser. They do not always need to break into an application directly. They can attempt to capture the browser data that already gives users access to those applications.

The result is a threat that hides in plain sight: not necessarily as a dramatic breach event, but as browser-layer exposure across everyday devices, extensions, versions, and browsing activity.

Where the Risk Comes From

Infostealer risk grows when attackers can access or abuse the browser environment where authenticated work is already happening.

The most common exposure points include:

  • Outdated browsers that may not include the latest protections against session theft.

  • Unverified browser extensions that can increase exposure inside the browsing environment.

  • Access to restricted or non-HTTPS domains that may create unsafe browsing conditions.

  • Multiple browsers across the fleet that make visibility and consistency harder to maintain.

  • Device-level blind spots where security teams cannot easily see which machines are exposed.

The challenge is not only that infostealers exist. It is that many organizations do not have a clear browser-level inventory of where the risk is concentrated.

A security team may know which users have MFA enabled. They may know which endpoints are managed. But they may not know which devices are running vulnerable browser versions, which users have unverified extensions installed, or which machines are accessing risky domains.

That is the visibility gap shadow infostealers exploit.

Why Traditional Controls Miss Browser-Layer Exposure

Many enterprise security tools are built around endpoint events, network traffic, or identity activity. These controls are still important, but they do not always provide enough browser-specific context.

Infostealer risk often depends on small browser-layer details:

Is the browser version current?

Are there unverified extensions installed?

Is the device accessing restricted or non-HTTPS domains?

Is the browser protected against session theft based on its version?

These questions matter because the browser is where authenticated enterprise activity takes place. If attackers can compromise that layer, they may be able to reach sensitive systems without triggering the same signals as a traditional login attack.

This is why security teams need browser-specific visibility before they can enforce browser-specific protection.

Chrome Enterprise Premium: Securing Work Where It Happens

Chrome Enterprise Premium helps organizations protect enterprise activity at the browser layer.

Instead of treating the browser as just another application, Chrome Enterprise Premium positions it as a security control point for modern work. It helps organizations apply protections where users interact with web apps, SaaS platforms, cloud services, and sensitive data.

For infostealer threats, this matters because the attack path often runs through browser activity. Attackers may rely on unsafe sites, malicious redirections, risky extensions, or attempts to access browser-held session context. Chrome Enterprise Premium helps reduce this exposure by giving organizations stronger browser-level policy control and protection around web access.

The key advantage is location. CEP operates at the point where browser-based risk appears, rather than only after data has moved elsewhere or after identity compromise is already underway.

From Chrome Readiness Tool: Identifying Infostealer Exposure Across the Fleet

Browser Insights, the Chrome Readiness Tool, gives security teams device-level visibility into browser and extension risk across the enterprise fleet. It surfaces browser and extension details including browser name, browser version, and all installed extensions across Chrome, Edge, Firefox, Vivaldi, Brave, and Opera.

For shadow infostealer risk, the most relevant signal is session theft vulnerability based on browser version. In Browser Insights, outdated browsers are flagged as not protected, while current versions are confirmed as protected.

The tool also shows the presence of unverified extensions, which can create additional exposure in the browser environment. A device is considered secure within Browser Insights when it has no unverified extensions and no access to restricted or non-HTTPS domains.

Browser Insights also supports device-level drill-down, allowing security teams to investigate specific machines where browser risk is elevated.

This makes the Chrome Readiness Tool especially useful for uncovering the conditions that shadow infostealers depend on. It does not need to detect an active infostealer to be valuable. It helps security teams identify the browsers, extensions, and devices where the risk is already higher.

Where CEP Accelerator Adds Value

CEP Accelerator helps security teams move from visibility to action.

Inside Browser Insights, CEP Accelerator acts as a planning and visibility layer. It helps to map risks observed through Browser Insights to the relevant Chrome Enterprise Premium capabilities that address them.

For shadow infostealer risk, CEP Accelerator can help connect findings such as outdated browser versions or unverified extensions to the CEP controls that reduce browser-based session theft and unauthorized data access exposure.

This helps teams prioritize remediation. Instead of treating every browser issue the same way, security teams can focus first on the devices and browser conditions that create the greatest exposure.

Shadow Infostealers Thrive on Browser Blind Spots

Infostealers are dangerous because they do not always announce themselves. They often take advantage of everyday browser conditions: outdated versions, risky extensions, unsafe domains, and unmanaged browser diversity.

That makes visibility the first step.

Browser Insights helps security teams understand where browser-layer exposure exists across the fleet. Chrome Enterprise Premium provides the enforcement layer to reduce browser-based risk. CEP Accelerator connects the two by translating observed browser risk into a prioritized CEP deployment plan.

To address shadow infostealers, start by looking at the browser environment itself. The threat may already be hiding there.

MFA Is Bypassed. Here’s How Attackers Do It With Session Cookies
May 11, 2026

MFA Is Bypassed. Here’s How Attackers Do It With Session Cookies

MFA Stops Login Abuse. It Does Not Always Stop Session Theft.

Multi-factor authentication has become one of the most important controls in enterprise security. It reduces the risk of password-based compromise and makes it much harder for attackers to access applications using stolen credentials alone.

But MFA protects the authentication moment. It does not automatically protect every authenticated session that follows.

Once a user successfully signs in, the browser receives session cookies or session tokens that keep the user logged in across web applications. These tokens tell the application, “this user has already been authenticated.” If an attacker steals that session cookie, they may be able to impersonate the user without needing the password, the MFA code, or the user’s device.

This is why session cookie theft has become such a dangerous browser-layer threat. The attacker is not always trying to break MFA. They are trying to go around it.

How Attackers Bypass MFA With Session Cookies

Session cookie attacks usually begin after authentication has already happened. The user signs in normally, completes MFA, and receives a valid browser session. From that point onward, attackers target the session itself.

Common attack paths include:

  • Infostealer malware on the endpoint that extracts browser cookies and session data.

  • Malicious or unverified extensions that gain access to browser activity or sensitive session context.

  • Phishing pages and attacker-controlled domains that redirect users into credential or token theft workflows.

  • Outdated browsers that lack the latest protections against session theft and cookie abuse.

  • Long-running authenticated sessions where users remain logged in without frequent re-verification.

The key problem is that many enterprise controls still focus heavily on login events. But session theft happens inside the browser after the login event is complete.

That makes the browser a critical security boundary.

Why Traditional MFA-Centric Security Falls Short

MFA is still essential. The problem is assuming that MFA alone is enough.

In a session theft scenario, the attacker does not need to defeat the MFA prompt directly. They only need to steal the post-authentication token that the browser uses to maintain access. Once that token is replayed, the application may treat the attacker as the already-authenticated user.

This creates a visibility and enforcement gap. Identity systems can confirm that MFA was completed, but they may not always know whether the session token is still being used by the legitimate browser, on the legitimate device, under the right conditions.

For enterprises, this means browser posture matters just as much as identity posture. A user may have strong authentication, but if their browser is outdated, exposed to risky extensions, or accessing unsafe domains, the session remains vulnerable.

Chrome Enterprise Premium: Protecting the Browser Session

Chrome Enterprise Premium helps address this gap by bringing security controls closer to where session activity actually happens: the browser.

Chrome Enterprise Premium is a secure enterprise browsing solution that provides advanced, integrated security directly within the browser, including centralized management, threat and data protection, and Zero Trust access controls for web applications.

For session cookie risk, this matters because the browser is where authenticated sessions live. Chrome Enterprise Premium helps organizations strengthen browser-layer protection through capabilities such as malware and phishing protection, URL filtering, data protection controls, and access controls that reduce exposure across web and SaaS applications. Google’s product documentation describes Chrome Enterprise Premium as enhancing Chrome’s built-in enterprise security with configurable data loss prevention, threat protection, and secure enterprise browsing controls.

This is especially important when attackers use phishing, malicious domains, malware, or unsafe browser activity as the path to session theft. Chrome Enterprise Premium helps enforce protection at the point of browsing, instead of relying only on identity checks that already happened earlier in the session.

From Readiness Tool: Understanding Session Risk Across the Browser Fleet

Browser Insights, the Chrome Readiness Tool, gives security teams device-level visibility into browser risk before incidents occur.

Based on the current Browser Insights structure, the tool surfaces browser and extension details across Chrome, Edge, Firefox, Vivaldi, Brave, and Opera. This includes browser name, browser version, and all installed extensions.

For MFA bypass and session cookie theft, the most relevant signal is session theft vulnerability based on browser version. Outdated browsers are flagged as not protected, while current versions are confirmed as protected.

Browser Insights also shows the presence of unverified extensions, which is important because risky extensions can increase browser-layer exposure. A device is considered secure within Browser Insights when it has no unverified extensions and no access to restricted or non-HTTPS domains. The tool also supports device-level drill-down, allowing security teams to investigate specific machines where browser risk is elevated.

This makes the Chrome Readiness Tool valuable as a visibility layer. It helps security teams identify which devices, browsers, and extensions may increase the risk of session theft before attackers exploit that weakness.

Where CEP Accelerator Adds Value

CEP Accelerator turns Browser Insights findings into a prioritized Chrome Enterprise Premium deployment plan.

It does not enforce policies or detect attacks directly. Instead, it acts as a planning and visibility layer inside Browser Insights. It maps observed risks to the relevant CEP capabilities that can address them.

For MFA bypass through session cookies, this means security teams can connect findings such as outdated browser versions or unverified extensions to the CEP controls that help reduce session theft and unauthorized access risk. CEP Accelerator helps teams decide where to act first, instead of treating every browser issue as equal.

Closing the MFA Gap Starts in the Browser

MFA remains a critical defense, but it is not the final boundary. Once a session is created, attackers shift their focus from stealing passwords to stealing browser session tokens.

That makes browser visibility and browser enforcement essential.

Browser Insights helps identify where session-related risk exists across the enterprise browser fleet. Chrome Enterprise Premium provides the enforcement layer needed to strengthen browser security against phishing, malware, unsafe access, and data exposure. CEP Accelerator connects the two by helping security teams prioritize the right actions based on observed risk.

To reduce MFA bypass risk, start by finding the vulnerable browsers, outdated versions, and unverified extensions across your environment. Then use Chrome Enterprise Premium to bring protection closer to the session itself.

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