autobotAI Documentation

Welcome to autobotAI! This guide walks you through setting up autobotAI, an intelligent automation platform that brings together security, compliance, and seamless integration with your cloud and on-prem environments.

Getting Started with autobotAI

This section outlines the key steps to begin leveraging autobotAI, a powerful hyperautomation solution designed to unify and streamline automation across diverse environments. Follow these steps to efficiently set up and utilize autobotAI for smarter, secure, and optimized operations.

What is autobotAI?

autobotAI offers advanced automation capabilities with these core features:

  1. Hyperautomation: Harness Generative AI, Machine Learning, and Intelligent Automation to automate operations across cloud and on-prem environments.
  2. AIOps for Automation: Improve workflows, monitor systems, and manage workloads effectively by combining AI-driven insights with automation.

Learn more about Hyperautomation

Setting Up Your autobotAI Account

  • Visit the autobotAI website.
  • Provide your account details.
  • Verify your email through the confirmation link.
  • Log in to access the autobotAI dashboard.

Step 1: Choosing Your Mode of Operation

autobotAI offers two modes to suit different operational needs:

  1. autobotAI Workspace: A scalable environment designed for larger teams requiring secure, role-based access and full data control. Integrate cloud services like AWS, Azure, GCP, and on-prem tools for comprehensive automation.

    1. Key Features: Scalable, flexible integrations, and enhanced security management.

    2. Components: Cloud integrations (e.g., AWS Lambda, ECS) and on-prem solutions for local deployments.

    Note: Ensure necessary permissions for cloud-based deployments.

    View Architecture Diagram

  2. autobotAI SaaS: A managed service that’s ideal for smaller environments with minimal setup. autobotAI manages the platform's maintenance and updates.

    1. Benefits: Quick setup, autobotAI-managed updates, and cost-effectiveness.

    Note: SaaS mode may not be optimal for large-scale deployments compared to Workspace.

Step 2: Deploying autobotAI Workspace (If Selected)

Prerequisites

  1. An account with permissions for cloud or on-prem resources.
  2. Familiarity with the services you plan to integrate.

Deployment Steps

  • Follow the Workspace Deployment Guide to set up autobotAI in your preferred environment.
  • Configure integrations and resources as required.

Tip: Follow best practices to manage costs and secure cloud and on-prem deployments.

Supported Cloud Platforms

Connect autobotAI to leading cloud providers to optimize and secure your operations. With integrations available for AWS, Azure, and GCP, autobotAI helps you efficiently manage workloads, monitor resources, and maintain compliance. Learn more

Notifications and Communication Integrations

Receive timely notifications and updates through integrated communication tools. autobotAI supports AWS SES, MS Teams, Google Chat, and Slack to streamline team communication and deliver automation results and security alerts. Learn more

AI Service Integrations

Enhance automation with AI insights by connecting autobotAI to leading AI services. autobotAI integrates with AWS Bedrock, OpenAI, and others for predictive analytics and AI-driven optimizations. Learn more

Agent-Based Integrations

Deploy agent-based integrations for streamlined management of Kubernetes and Linux environments, ideal for applications requiring control over resource allocation. Learn more

Code Repository Integrations

Integrate with code repositories like Git, GitHub, and GitLab to enhance automation workflows, version control, and CI/CD processes. Learn more

Monitoring Tool Integrations

Gain full visibility of your infrastructure with monitoring tool integrations. autobotAI supports Coralogix, Datadog, Grafana, and more, enabling performance tracking, log monitoring, and operational resilience. Learn more

Security Tool Integrations

Strengthen your security posture by connecting autobotAI to trusted security tools for monitoring threats and incident management. autobotAI supports abuseIpdb, GitGuardian, IPStack, and others. Learn more

Security Tip: Follow the principle of least privilege when assigning permissions.

Creating and Managing Bots

Bots are at the heart of autobotAI. They are automated workflows that can perform tasks, gather data, send notifications, and more. autobotAI offers four ways to create bots, allowing you to tailor automations to your specific needs.


Insight for Compliance and Inventory Management

The Insight feature gives you a detailed view of cloud configurations, helping you detect misconfigurations and maintain compliance standards.

Key Insight Features

  1. Misconfiguration Detection: Identify configuration issues in cloud resources.
  2. Inventory Management: Visually explore resources and conduct ad-hoc searches.

Supported standards include CIS, GDPR, HIPAA, PCI DSS, and NIST across AWS, Azure, GCP, and Kubernetes.

Disclaimer: Insight assists with prioritizing automation needs but is not a replacement for CSPM or CWPP tools.

Key Features of autobotAI

  1. Multi-Platform Support: Integrate autobotAI across cloud and on-prem systems for unified automation.
  2. Generative AI: Optimize workflows with AI insights.
  3. Security and Compliance: Ensure automation aligns with security standards through integrated security tools.

Resources and Support

Access autobotAI’s extensive resources for guidance and support:

  1. Documentation: Comprehensive instructions and best practices for getting started, troubleshooting, and advanced configurations.
  2. Tutorials: Learn use cases, automation setups, and integrations with step-by-step tutorials and examples.

📌📌📌 Quick Tips for New Users

  1. Prioritize Security: Use role-based access and least privilege principles.
  2. Utilize Hybrid Integrations: Combine cloud and on-prem integrations for maximum flexibility.
  3. Leverage Bots: Automate tasks quickly using pre-configured bots.