Overview

Swif’s browser extension is designed to extend endpoint security into the browser while maintaining strict privacy controls and minimal data exposure.

It works alongside the Swif MDM agent to:

Enforce security policies at the browser level
Monitor risky activity such as Shadow IT and unauthorized sign-ups
Support automation workflows like provisioning and access control

At the same time, the extension is built with a privacy-first architecture, ensuring sensitive data is never exposed.

How the Extension Works

The browser extension operates using a local-first model:

Most detection and enforcement logic runs locally in the browser
The MDM agent provides device-level context and policy enforcement
Cloud or LLM processing is used only when necessary and with minimal data

This approach ensures:

Low latency and fast performance
Reduced dependency on external services
Strong control over data handling

Security Capabilities

The extension enables several key security functions:

Shadow IT Detection

Identifies unauthorized SaaS usage and account creation attempts
Detects sign-up and login flows across websites

Access and Policy Enforcement

Enforces restrictions on account creation and usage
Works with device compliance status from the MDM agent

Provisioning and Deprovisioning Support

Automates user management workflows in SaaS applications
Extracts structured data only when initiated by an admin

Activity Monitoring

Tracks relevant browser activity for security and compliance
Maintains audit logs for visibility and reporting

Use of LLM (AI)

Swif uses LLM selectively to improve specific features such as:

Detecting sign-up and login flows when local detection is insufficient
Parsing structured pages (e.g., team member lists) for provisioning
Translating technical errors into user-friendly messages

Key characteristics:

LLM is used only as a fallback or enhancement, not continuously
Most pages are processed without any external calls
Features using LLM can be disabled by admins

Data Handling and Privacy

Swif enforces strict data minimization principles across the extension.

What is NOT Collected

Passwords or authentication credentials
Cookies or session tokens
Full browsing history
Screenshots or full page content

What May Be Used (When Required)

Page metadata (e.g., URL, title, button labels)
Structured UI elements for detection
Limited context needed for specific workflows

PII Protection

Sensitive data is detected using local or self-hosted systems
PII is redacted before storage
Processing is limited to monitored applications

Admin Control

Administrators have full control over extension behavior:

Enable or disable specific features (including LLM usage)
Define which applications are monitored
Control enforcement policies and automation workflows

This ensures the extension aligns with organizational security and compliance requirements.

Security Model

Swif’s browser extension follows a layered security model:

Local Enforcement First
Most logic runs directly in the browser
Device Context via MDM
Policies are tied to device compliance and identity
Selective Cloud/LLM Use
Only minimal, non-sensitive data is used when required

This reduces risk while maintaining strong functionality.

Security & Compliance Impact

This architecture helps organizations:

Prevent unauthorized SaaS usage and account sprawl
Enforce browser-level security controls
Automate identity and access workflows
Maintain audit-ready logs and visibility
Meet requirements for frameworks such as SOC 2, ISO 27001, and NIST

Summary

Swif’s browser extension provides browser-level security enforcement while maintaining:

Local-first processing
Minimal data exposure
Full administrative control

It extends endpoint security into the browser without introducing additional privacy risks, making it suitable for security-sensitive and compliance-driven environments.