Automating Google Workspace Login Security

Introduction

Google Workspace accounts are a prime target for suspicious logins due to weak or compromised credentials. Detecting and responding to such logins quickly is crucial to prevent unauthorized access. This guide demonstrates how autobotAI automates the detection, approval, and remediation of suspicious logins in Google Workspace.

Prerequisites 🛠️

1. Google Workspace account with appropriate admin permissions to manage user accounts and retrieve alerts.
2. Configured autobotAI instance with Google Workspace integrations enabled.

Why is this important? 🚨

1. Suspicious Logins: Unusual login patterns can indicate unauthorized access attempts, potentially leading to data breaches.
2. Delayed Response: Manual investigation of alerts can result in delays, increasing the risk of further malicious activity.
3. Proactive Mitigation: Automating login detection and remediation ensures immediate action and faster investigation.

What does the demo show? 🎥

🚀 In this short demo, discover how autobotAI automates the detection and remediation of suspicious login attempts in Google Workspace, ensuring that threats are mitigated swiftly and effectively.

Key Features Demonstrated:

• Fetch Alerts 🔔: Automatically retrieves alerts from the Google Workspace Alert Center.
• User Information Collection 👤: Gathers user details, such as login time, location, and associated IP address.
• Condition Check ✔️: Ensures only HIGH severity alerts are processed and avoids reprocessing already suspended users.
• AbuseIPDB Lookup 🌐: Performs an IP lookup to assess the risk of the login source.
• Data Enrichment 🔍: Consolidates login, user, and IP data for a comprehensive event view.
• Approval Request ✅: Sends an approval request to the designated user with all necessary details.
• Remediation Action ⛔: Suspends the user’s account after approval to prevent further suspicious activity.
• Notification 📲: Sends a detailed report after remediation.

How It Works 🔧

• Fetch Alerts 🔔:

  1. The bot retrieves alerts from Google Workspace Alert Center related to suspicious login activities, specifically targeting Google Identity. It allows for custom time frames using the number_of_days parameter (default is 7 days).

• User Information Collection 👤:

  1. The bot collects detailed information about the user involved in the login activity, such as login time, location, and IP address.

• Condition Check ✔️:

  1. The bot ensures that only HIGH severity alerts are processed for remediation. It filters out users who have already been suspended to avoid redundant processing.

• AbuseIPDB Lookup 🌐:

  1. The bot performs an IP lookup using AbuseIPDB to evaluate the risk of the login source, ensuring that the response is informed by real-time threat data.

• Data Enrichment 🔍:

  1. Consolidates user details, login information, and AbuseIPDB data to provide a comprehensive overview of the suspicious event, enhancing decision-making.

• Approval Request ✅:

  1. An approval request is sent to the designated user, providing all event details (user login information and IP risk analysis) to facilitate an informed decision.

• Remediation Action ⛔:

  1. Upon approval, the bot suspends the user’s account to prevent further suspicious activity and initiates an investigation process.

• Notification 📲:

  1. Once the remediation action is completed, a detailed notification is sent to security teams and stakeholders, summarizing the remediation process and the event details.

Benefits of Automation with autobotAI 🏆

1. Faster Response Times ⏱️: Automates the detection and remediation process within seconds.
2. Reduced Human Error ❌: Minimizes manual intervention, reducing the risk of mistakes.
3. Enhanced Security Posture 🔐: Proactively addresses security incidents with automation.
4. Improved Stakeholder Communication 📢: Keeps stakeholders informed with timely, detailed notifications.

By automating the response to suspicious logins in Google Workspace, autobotAI ensures rapid action to protect your organization from potential threats, minimizing the risk of unauthorized access and data breaches.