autobotAI
autobotAI is an AI-powered automation platform for security operations that eliminates alert fatigue and scales threat response with explainable AI.
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What is autobotAI?
autobotAI is an AI-powered no-code automation platform designed as an agentic nervous system for security operations and cloud management. It eliminates alert fatigue and scales threat response using explainable AI that security teams can control. The platform combines hyperautomation with AIOps to transform cloud operations through intelligent, contextually-aware automation that makes precise decisions across multi-cloud and hybrid environments.
Key features include supportive integration with over 600+ tools like Splunk, Jira, GitHub, Slack, AWS, Azure, GCP, and Kubernetes. The platform offers three development modes: NoCode (drag-and-drop Steampipe query nodes), LowCode (pre-configured action nodes with generative AI assistance), and FullCode (custom Python code for deep customization). It features explainable AI with smart human approval where LLM-generated reasoning chains show every decision, and high-impact actions require analyst approval with full context. The multi-agent orchestration control plane provides real-time monitoring and centralized control of agent workflows.
autobotAI is designed for security teams, SOC analysts, CloudOps teams, AppSec engineers, IAM operations specialists, GRC professionals, and SRE teams. It handles practical use cases including incident response, threat containment, detection engineering workflows, AppSec remediation, secrets remediation, least-privilege IAM, onboarding/offboarding, posture violation remediation, and risk register automation. The platform achieves 90%+ Tier-1 alert resolution rates, 66% SOC productivity increase, 76% analyst burnout reduction, and 57% operational cost savings.
autobotAI pricing
Pricing model: Free
autobotAI offers three plan tiers: Community ($14-day free trial) includes up to 7,000 monthly agent executions, autonomous alert triage + threat enrichment, 2 cloud platform integrations (AWS, Azure, GCP), community support + 3 automation consultations annually, best for 5-15 analysts. Standard (14-day free trial) includes up to 20,000 monthly agent executions, full multi-agent orchestration across Security/IT Operations/Cloud/Infrastructure, 5+ cloud platform integrations + full SIEM/EDR/threat intel ecosystem, priority support + 5 automation consultations annually, best for 15-50 analysts in multi-cloud + hybrid environments. Enterprise (custom pricing) includes unlimited agent executions, complete governance suite + custom MCP integrations, unlimited cloud + API ecosystem integrations, dedicated success manager + 24/7 SLA support, best for global security/IT teams, MSPs/MSSPs, and hyper-compliance environments.
autobotAI pros
- Eliminates alert fatigue with 90%+ Tier-1 alert resolution rate
- 66% increase in SOC productivity
- 76% reduction in analyst burnout
- 57% operational cost savings
- Connects over 600+ tools including Splunk, Jira, GitHub, Slack
- Supports AWS, Azure, GCP, Kubernetes, and any cloud platform
- Explainable AI with reasoning chains for every decision
- Smart human approval for high-impact actions with full AI context
- NoCode drag-and-drop interface for quick workflow building
- LowCode with generative AI assistance for scripts and configurations
- FullCode Python support for deep customization
- Multi-agent orchestration control plane with real-time monitoring
- Automated compliance violation detection and risk remediation
- Full audit trail with reversible actions
- Works across SecOps, GRC, AppSec, IAM operations, and cloud operations
- Reducuces MTTR from hours to minutes
- Policy-driven automation with contextual approval gates
- Multiple integration methods: APIs, Webhooks, CLI, MCP protocol
- Workspace isolation with zero-trust architecture
- Unified control plane for cloud, security, and compliance
autobotAI cons
- Requires Enterprise subscription for MFA and SSO features
- Community tier limited to 7,000 monthly agent executions
- Standard tier limited to 20,000 monthly agent executions
- Only 2 cloud platform integrations in Community plan
- Community support rather than dedicated success manager on lower tiers
- Limited automation consultations (3 annually for Community, 5 for Standard)
- 14-day free trial only before paid plans
- Custom pricing required for large Enterprise deployments
- Python is primary language for custom actions, other languages limited
- Enterprise features like complete governance suite require higher tier
Frequently asked questions about autobotAI
What is autobotAI?
autobotAI is a hyperautomation platform designed to streamline cloud operations and security. It combines the power of generative AI with automation to offer solutions for managing and securing cloud infrastructures across platforms like AWS, Azure, GCP, and Kubernetes. It serves as an agentic nervous system for security operations, eliminating alert fatigue and enabling proactive threat resolution with precision.
How does autobotAI differ from other automation platforms?
autobotAI stands out with its integration of generative AI, allowing for more intuitive and context-aware automation workflows. It features explainable AI with reasoning chains for every decision, smart human approval for high-impact actions, and supports multi-domain automation beyond the SOC including SecOps, GRC, AppSec, IAM operations, and cloud operations. The platform offers NoCode, LowCode, and FullCode flexibility unlike rigid legacy SIEM automation.
Is autobotAI secure?
Yes, autobotAI emphasizes security with features like workspace isolation, a robust data privacy framework, and a zero-trust architecture. It ensures data remains within the user's control and follows best practices for cloud security. The Enterprise subscription supports MFA and SSO configuration for enhanced security.
How do I get started with autobotAI?
You can sign up on the autobotAI platform at autobot.live, choose between the SaaS model or the dedicated autobotAI Workspace, and then integrate your cloud accounts and communication tools. The platform offers a 14-day free trial for both Community and Standard plans. Detailed documentation, user guides, and tutorials are available to assist throughout the process.
Can I integrate autobotAI with my existing tools?
Absolutely! autobotAI offers flexible integrations with a wide range of services including AWS, Azure, GCP, Kubernetes, MS Teams, Google Chat, Git, and security solutions like Splunk, Jira, GitHub, Slack, and Trend Micro. It supports multiple integration methods: APIs/HTTP Webhooks, Code/SDKs, CLI/Command Line, and MCP (Managed Connection Protocol) for plug-and-play ease.
What coding skills do I need to use autobotAI?
autobotAI works for both analysts and engineers with three development modes. NoCode requires no coding - just drag-and-drop Steampipe query nodes. LowCode uses pre-configured action nodes with generative AI assistance for writing scripts and configurations. FullCode allows custom actions using Python code for deep flexibility. Teams can build visually with low-code workflows and extend deeply with Python for custom actions.
How does autobotAI handle compliance and regulations?
autobotAI's Insight feature provides visibility into compliance violations across platforms. It supports various compliance standards and helps in early detection and remediation of potential vulnerabilities. The platform offers automated compliance, risk remediation, and audit-ready reports with full audit trails for proving adherence to auditors.
What is the multi-agent orchestration control plane?
The multi-agent orchestration control plane is a centralized dashboard where you can see what agents are doing, control workflows, and monitor governance in real-time. It provides agent coordination and real-time monitoring for your entire agent swarm, acting as one control plane for your security and IT stack rather than separate tools for security automation, cloud operations, access workflows, and compliance remediation.
Can I create custom automation workflows in autobotAI?
Yes, autobotAI's low-code visual interface allows users to design custom automation workflows tailored to specific operational needs. Users can leverage Generative AI for intelligent suggestions and context-aware automation. Additionally, users can bring their own Python code to create custom actions and extend automation capabilities for security-specific logic.
What results can I expect from using autobotAI?
Proven customer results include 66% SOC productivity increase, 76% analyst burnout reduction, 57% operational cost savings, 90%+ Tier-1 alert resolution rate, and MTTR reduction from hours to minutes. The platform handles Tier-1 alerts automatically with 90%+ resolution rate while routing high-impact actions through human approval with full AI-generated context.