AI-led AMS Proactive Infrastructure Monitoring & Smart Incident Triaging
Brillio · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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.
Show the rest of the publisher’s description (36 more lines)
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
Highlighted by the publisher on AWS Marketplace.
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.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
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3 linksLinked repositories
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