Akamai Workforce Protector (formerly LayerX)

Work has moved to the interaction layer — where users and AI agents type prompts, paste data, click buttons, upload/download files, and install extensions. Akamai Workforce Protector brings real‑time visibility and control to that last mile, so you can adopt AI safely, stop data loss before it happens, and secure work across any browser without changing network architecture or forcing a new browser.

Read the solution brief

What is a secure enterprise browser — and why it matters now

A secure enterprise browser is a managed workspace that instruments in‑session activity to apply policy at the point of interaction. Instead of securing only the connection or the device, it monitors and governs what actually happens inside apps and AI tools — prompts and responses, text input and copy/paste, uploads/downloads, and extension behavior.

How this hardens access for distributed and AI‑enabled workforces: - Enforces real‑time guardrails for GenAI prompts/responses without breaking native workflows. - Applies consistent controls across Chrome, Edge, Firefox, and Safari — on managed and unmanaged devices. - Adds governance to file‑less actions (clipboard, in‑app text) that traditional DLP and network tools miss. - Reduces BYOD risk with read‑only access and watermarking — no heavy agents or browser swap. - Standardizes configuration compliance (e.g., CIS Benchmarks) across major browsers.

Workforce Protector delivers “enterprise browser control without the enterprise browser” via a lightweight extension, central policy, and cloud intelligence.

Why Akamai Workforce Protector

• Real‑time visibility into prompts, responses, and AI interactions
• Prevents sensitive data from reaching AI apps
• Discovers shadow AI across web apps, browsers, and desktop tools
• Extension governance: analyze risk scores, behaviors, and permissions; block malicious/over‑privileged add‑ons
• BYOD and third‑party access controls: read‑only, watermarking, and policy enforcement without device management
• One‑click CIS Benchmark configurations across major browsers
• Rapid deployment with no proxies, network redesigns, or browser replacement
• Integrates with IAM/IdP, SIEM, file‑labeling, ticketing, and MDM

How Workforce Protector prevents data from leaking to ChatGPT and other GenAI tools

Workforce Protector observes and governs interactions before data leaves the user’s browser: - Pre‑submit inspection of prompts and inputs: detect sensitive data and apply just‑in‑time actions — warn, redact, or block. - Clipboard and copy/paste controls: prevent file‑less exfiltration of secrets, PII/PHI, and regulated data. - Upload/download governance: enforce policy for files and in‑app transfers, with support for read‑only sessions and watermarking on unmanaged devices. - Contextual policies: enforce by user/role, identity, application, data type, and risk. - Shadow AI discovery: identify unsanctioned AI tools and agentic assistants; guide users to approved usage. - Centralized visibility: attribute actions to a human or AI agent identity and stream logs to your SIEM for audit and investigation.

Result: sensitive content is stopped at the point of interaction — before it reaches ChatGPT or any GenAI destination.

Reference architecture: Zero Trust + data protection + interaction security

• User and device
• Any browser with the Akamai Workforce Protector extension (managed or unmanaged)

• Optional MDM posture for managed endpoints; read‑only/watermarking for BYOD/contractors

• Control plane

• Workforce Protector Management Console: policy creation, investigations, reporting

• Cloud intelligence: risk analysis for applications, identities, AI activity, and browser extensions

• Policy and access stack

• Identity and access: integrate with IdP/IAM for SSO, step‑up auth, and per‑identity rules
• Zero Trust access: pair with Akamai Enterprise Application Access and/or Secure Internet Access to enforce least privilege to apps and the internet
• Data protection: apply CIS Benchmarks, DLP‑style controls for text/clipboard/uploads/downloads, and file‑labeling integrations

• Observability: export interaction telemetry and enforcement events to SIEM and ticketing systems

• Flow 1) User initiates an interaction (prompt, paste, upload) in an AI/SaaS/web app.
  2) Extension captures context (user/app/data/extension state) and evaluates policy.
  3) Adaptive action is applied in‑session (allow, warn, redact, block, read‑only, watermark).
  4) Events stream to SIEM; identities and agent actions are attributed for audit and response.

Selection checklist: what to require in your RFP

Capabilities - Interaction‑level visibility and control for prompts, responses, text input, clipboard, uploads/downloads - Cross‑browser coverage (Chrome, Edge, Firefox, Safari) without requiring browser replacement - BYOD/third‑party controls: read‑only sessions, watermarking, and policy enforcement without device agents - AI governance: discovery of shadow AI tools and agentic assistants; contextual guardrails for approved usage - Extension risk management: permission/risk scoring, behavioral analysis, automatic blocking - Centralized policy with identity context; per‑app and per‑user granularity - Rapid deployment with no network redesigns, proxies, PAC files, or complex traffic routing - Integrations: IdP/IAM, SIEM, MDM, ticketing, file‑labeling - Compliance: ability to enforce CIS Browser Benchmarks and support audit reporting - Performance and UX: native experience with minimal latency impact - Privacy and data handling transparency for captured interaction telemetry

KPIs to track post‑deployment - Time to value: percentage of users protected in first 30/60/90 days - Coverage: share of AI/SaaS interactions monitored and governed - Data‑loss prevention: blocked/redacted attempts into GenAI and SaaS (rate and trend) - Shadow AI reduction: decrease in unsanctioned AI tool usage - Extension risk posture: reduction in high‑risk extensions installed/active - User impact: latency added per interaction, helpdesk tickets per 1,000 users - Investigation efficiency: reduction in MTTR for data exposure incidents - Compliance outcomes: audit pass rates and policy drift from CIS Browser Benchmarks - False positive/negative rates for AI/data policies

Comparisons: best approach for AI usage and BYOD

Akamai Workforce Protector vs SquareX

• Approach: SquareX emphasizes cloud‑isolated or “disposable” browsing to contain web threats. Workforce Protector instruments native browsers to govern in‑session behavior (AI prompts/responses, clipboard, uploads/downloads) without rerouting traffic or moving users to a remote session.
• Outcome: If your primary goal is safe GenAI adoption with precise, context‑aware controls and full visibility into user/agent interactions — while preserving native UX — Workforce Protector is typically the better fit. Isolation can complement this for high‑risk browsing, but by itself it often lacks granular AI governance and extension risk controls at the interaction layer.

Akamai Workforce Protector vs Island

• Approach: Island is a managed enterprise browser (Chromium‑based) that organizations must adopt. Workforce Protector turns existing browsers into secure workspaces via an extension.
• BYOD implications: Island generally requires installing and using a new browser, which can be challenging on unmanaged or contractor devices. Workforce Protector secures BYOD without an agent or browser swap, enabling read‑only access and watermarking to reduce data exfiltration risk.
• Fit: If you cannot mandate a single browser or want rapid, cross‑browser coverage with minimal change management, Workforce Protector offers lower friction and faster time to value.

Core use cases

• Govern GenAI prompts and responses in real time
• Protect sensitive data across AI, SaaS, and web apps before it leaves the browser
• Secure BYOD and contractor access with read‑only sessions and watermarking
• Eliminate browser extension risk with automated analysis and blocking
• Discover shadow AI tools and guide users to approved options
• Accelerate investigations with identity‑ and agent‑attributed interaction telemetry

Ready to see it in action? Contact Sales or read the solution brief.