Sold by: Brillio
Brillio’s Proactive Infrastructure Monitoring & Smart Incident Triaging is an agentic AI solution that enables predictive observability, autonomous alert triaging, and intelligent incident management across hybrid infrastructure environments. Powered by ADAM AI Agents and built on AWS, the solution proactively detects network degradation, server anomalies, latency spikes, and infrastructure risks before they escalate into critical incidents. By combining telemetry correlation, anomaly detection, predictive capacity management, and automated ticket triaging, the solution reduces manual monitoring effort, improves MTTR, and enhances infrastructure reliability through governed AI-driven operations.
Overview
Brillio’s Proactive Infrastructure Monitoring & Smart Incident Triaging solution brings agentic AI capabilities to enterprise infrastructure and network operations by enabling predictive observability and autonomous incident triaging across hybrid environments.
Powered by ADAM (Agentic Data & Applications Management) AI Agents and built on AWS services including Amazon Bedrock, Amazon CloudWatch, AWS Lambda, Amazon EKS, and Amazon DynamoDB, the solution continuously monitors infrastructure telemetry, correlates operational signals, detects anomalies, and automates intelligent incident workflows.
The solution combines deterministic operational rules, historical incident intelligence, and AI-driven pattern analysis to reduce operational fatigue, improve incident prioritization, and proactively mitigate infrastructure risks.
The solution integrates with existing ITSM, observability, and enterprise infrastructure ecosystems without disrupting current operational workflows.
Background:
Infrastructure teams manage increasingly complex environments spanning:
• Routers and switches
• Firewalls and VPN endpoints
• Cloud and on-prem workloads
• Servers, storage, and network infrastructure
Traditional monitoring platforms generate excessive alerts during outages, packet drops, latency spikes, and resource saturation events, forcing operations teams into reactive monitoring and manual triaging.
This results in:
• High L1 monitoring effort and alert fatigue
• Delayed incident prioritization and response
• Limited predictive visibility into infrastructure degradation
• Increased operational overhead and critical outages
Organizations require an AI-led operational intelligence layer capable of predictive monitoring, intelligent alert correlation, and autonomous incident triaging.
Solution:
The solution deploys specialized AI agents across enterprise infrastructure environments:
• Telemetry Agent: Unifies SNMP data, device logs, firewall telemetry, and server metrics into a centralized observability layer
• Anomaly Detection Agent: Detects latency spikes, link degradation, CPU/memory drift, and infrastructure anomalies using temporal analysis
• Smart Recommendation Agent: Correlates logs, historical tickets, and operational patterns to recommend corrective actions
• Automated Ticketing & Triaging Agent: Creates enriched ITSM incidents with RCA context and routes tickets intelligently
• Predictive Capacity & Availability Agent: Forecasts infrastructure saturation trends, recommends scaling actions, and drives recovery workflows
• Centralized Dashboard & Evaluation Layer: Provides visibility into infrastructure health, MTTR improvements, predictive insights, and AI Agent performance
Key Capabilities:
• Predictive infrastructure and network monitoring
• Intelligent alert suppression and prioritization
• Automated incident enrichment and smart ticket triaging
• Infrastructure anomaly detection and RCA recommendations
• Predictive capacity and availability management
• Centralized observability and operational dashboards
Customer Success Stories & Measurable Outcomes
• 725 hours reduction in L1 operational effort
• 20% reduction in P1/P2 infrastructure incidents
• Reduced monitoring fatigue and manual triaging effort
• Faster MTTR and improved operational responsiveness
• Improved infrastructure reliability and proactive risk mitigation
Highlights
- Predictive Infrastructure Observability: ADAM AI Agents continuously monitor network, server, and infrastructure telemetry to detect latency spikes, link degradation, and resource anomalies before they escalate into critical incidents.
- Autonomous Alert Triaging & RCA: The solution intelligently suppresses noise, enriches incidents with RCA insights, and automates ticket routing using historical patterns and contextual operational intelligence.
- Reduced Operational Fatigue & Improved Reliability: The solution delivers 725 hours of L1 effort reduction and 20% reduction in P1/P2 incidents by transforming infrastructure operations from reactive monitoring to AI-led predictive operations.
Details
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Support
Vendor support
The Brillio team will assess the client ecosystem to perform the necessary integrations with the solution.
This offering is ideal for enterprises seeking to modernize their Application Management Services through AI-driven proactive incident prevention and autonomous ticket triaging.
Reach out to us at aws-marketplace@brillio.com OR Contact Us to get started today!