Grene Robotics
Key Impacts
About Grene Robotics
Grene Robotics is a Hyderabad-based enterprise software company focused on workplace automation and hyperautomation. Founded in 2008, the company builds GreneOS, a unified AI-powered platform that connects people, processes, data, and systems to deliver autonomous business operations.
The platform leverages artificial intelligence, machine learning, and RPA (Robotic Process Automation) to automate enterprise workflows across organisations. Grene Robotics serves large enterprises in telecommunications, technology, and professional services.
Their cloud-native infrastructure and Kubernetes workloads require robust security operations and continuous compliance monitoring to protect customer data and maintain service reliability.
Continuous Compliance Management Complexity
With cloud infrastructure on AWS and containerized workloads on Kubernetes, Grene Robotics needed to maintain continuous compliance across multiple environments. Governance, Risk, and Compliance (GRC) violations were detected by various security scanners, but turning findings into timely remediation required manual effort.
Security teams spent time reviewing violations, defining remediation steps, coordinating with IT operations, and tracking resolution across cloud and container environments.
Manual Security Incident Response
Security findings from multiple tools — including Trend Micro, AWS WAF, and AWS Inspector — generated alerts that required manual investigation. Analysts had to correlate findings, assess severity, decide actions, and coordinate remediation with development and operations teams. This manual workflow created delays in addressing threats.
Multi-Environment Threat Surface
Protecting more than 20 threat vectors across cloud infrastructure and containerised applications created a complex security landscape. Container-specific threats, cloud misconfigurations, and traditional vulnerabilities required different remediation approaches, and manual management strained security and IT operations.
Tool Silos and Workflow Coordination
Security operations required coordination across multiple tools and teams, with Google Chat used for collaboration. Findings from AWS, Trend Micro, and other tools had to be routed to the right teams, remediation coordinated, and approvals obtained for critical changes — all via manual processes that slowed response times.
Operational Burden on Security and IT Teams
The combination of continuous compliance monitoring, incident response, and threat remediation across cloud and Kubernetes environments created a high operational burden. Security and IT teams spent extensive time on repetitive manual work instead of strategic security improvements and proactive threat hunting.
The Solution
Grene Robotics deployed autobotAI as their security operations automation platform, integrating it with the existing stack to automate compliance remediation, incident response, and threat mitigation across cloud and container environments.
Unified Security Integration Layer
autobotAI integrated with Grene Robotics' security and infrastructure tools:
- Trend Micro and Snyk for cloud security findings
- AWS native services including AWS WAF and AWS Inspector for cloud security monitoring
- Kubernetes for container workload security and compliance
- Google Chat for team collaboration, notifications, and approvals
- GRC tooling and asset inventory systems for compliance violation detection
This created a unified orchestration layer where autobotAI could ingest findings from multiple sources, make remediation decisions, and execute coordinated actions across cloud and container environments.
20+ Automated Security and Compliance Workflows
Working with Grene Robotics' security and IT teams, autobotAI engineers built over 20 automated workflows covering compliance remediation, incident response, and threat mitigation.
Continuous Compliance Automation
autobotAI continuously monitors for GRC violations across cloud and Kubernetes workloads. When violations are detected, the platform assesses the finding, determines remediation steps, and executes fixes based on policy.
Low-risk, zero-cost changes are remediated automatically. Critical infrastructure changes use smart approval workflows via Google Chat — routing requests to stakeholders, tracking approvals, and executing changes only after authorization.
Automated Incident Response
Security findings from Trend Micro, AWS WAF, AWS Inspector, and other services are ingested and correlated by autobotAI. The platform assesses severity, collects context about affected resources, determines remediation steps, and executes response playbooks.
Critical events trigger immediate Google Chat notifications with full context; lower-priority findings are handled automatically with complete audit trails.
Cloud and Container Security Orchestration
autobotAI orchestrates remediation across AWS and Kubernetes environments. The platform handles cloud misconfigurations, container security findings, network policy violations, and access control issues through unified workflows that understand the requirements of each environment.
Protection spans more than 50 threat vectors including container-specific threats, cloud vulnerabilities, and attack surface exposures.
Smart Approval Framework
All workflows include intelligent approval logic that distinguishes routine remediation from critical changes. Tasks with no cost impact and no maintenance windows are automated end-to-end. Changes that could affect production, incur cost, or require maintenance trigger smart approval workflows via Google Chat.
The system routes approval requests to stakeholders based on change type and risk, tracks responses, maintains audit trails, and executes approved changes automatically.
Implementation Approach
Implementation approach
Serverless deployment
autobotAI was deployed as a fully serverless application in AWS environment. This deployment provides automatic scaling, eliminates infrastructure management overhead, and aligns with Grene Robotics' cloud-native approach.
Workflow development partnership
autobotAI engineers collaborated with Grene Robotics' security and IT teams to build 20+ workflows over the implementation period. Starting with high-impact use cases such as compliance violations and incident response, the teams expanded automation across security operations. Each workflow was tested in non-production environments, refined with feedback, and deployed with appropriate approval gates.
Multi-environment integration
The platform was configured to handle both cloud and container environments. autobotAI integrates with Kubernetes APIs for container security management while connecting to AWS services for cloud protection—enabling unified security operations across the stack.
Collaboration via Google Chat
Integration with Google Chat provided a seamless collaboration experience. Security teams receive notifications, review findings, approve critical changes, and track remediation status within their existing communication platform—reducing context switching and accelerating decision-making.
Results
55% reduction in manual security and IT operations
The deployment of autobotAI and development of 20+ automated workflows delivered measurable operational improvements.
Automated security and IT operations
Grene Robotics achieved a 55% reduction in manual operations across security and IT teams. Tasks that previously required hands-on intervention—reviewing compliance violations, investigating findings, coordinating remediation, and tracking resolution—are now handled automatically by intelligent workflows. This freed teams to focus on architecture improvements, threat hunting, and platform innovation.
Continuous compliance achieved
Rather than periodic compliance reviews with backlogs, Grene Robotics now maintains continuous compliance across cloud and Kubernetes environments. GRC violations are identified and remediated automatically, improving posture and simplifying audits.
Comprehensive threat protection
autobotAI provides automated protection across more than 50 threat vectors spanning cloud and containerised applications. Container threats, cloud misconfigurations, network vulnerabilities, and access control issues are addressed through automated remediation workflows.
Faster incident response
Incidents that previously required manual investigation and coordination now resolve via automated playbooks. Integration with Trend Micro, AWS WAF, and AWS Inspector enables immediate automated response to findings, reducing exposure windows.
Smart approval workflow efficiency
The intelligent approval framework balances automation with oversight. Routine, low-risk remediation is automated, while critical changes route through Google Chat approvals with full audit trails.
Unified cloud and container security
Grene Robotics now operates unified security across AWS and Kubernetes environments. autobotAI provides consistent automation and remediation workflows that understand environment-specific requirements.
Enhanced team collaboration
Google Chat integration streamlined communication and coordination. Notifications, approval requests, remediation updates, and incident alerts flow through the team's existing platform—improving visibility and accelerating response.
Looking ahead
Grene Robotics continues to expand automation across security domains and integrate additional tools. The success shows that security operations automation—connecting visibility, DevOps, and action platforms like AWS and Jira—enables teams to operate at scale.
