A platform-centric AI/ML-driven approach for centralizing and processing huge amounts of IT-related data from disparate sources. Empower multiple teams to be more responsive to outages and slowdowns and get bi-directional connectivity with ITSM technologies.
AIOps tackles daily IT operational issues at scale by leveraging diverse technological techniques, including ML, network science, combinatorial optimization, and other computational approaches. AIOps allows businesses to address a wide range of IT management operations, from intelligent alerting, alert correlation, and alert escalation to auto-remediation, root-cause investigation, and capacity optimization.
Use a disciplined framework for proactively streamlining processes, resources, personnel, information, and communication. Manage everything 24/7 by continuously examining, improving, and optimizing operations.
Establish processes that reduce the unnecessary noise you experience when incidents occur. Stay focused, along with your groups, and experience fewer interruptions when resolving issues.
Trigger powerful automated actions - customized to overcome complexities of modern IT ecosystems. Ensure a closed loop of discovery, analysis, detection, prediction, and automation.
Identify all genuine alarms and suppress noises that daily consume a lot of the network operator’s time using AI/ML technologies.
Identify actual data points based on raw historical data and extract possible minimum and maximum values.
Predict future data for all configured parameters with an advanced AI engine – cutting across all the business service or device statistics.
Connect notifications to issues affecting IT services. Use service maps and a topology explorer to better understand business impact.
Manage alarms before they occur using predictive insights - with machine data analytics to help run more efficient IT operations.
Meet hardware capacity demands by predicting upgrades for increasing CPU, memory, or storage capacity.
Perform analysis on inventory /topology data, historical incidents, and event generation time to identify related events - undetected by regular monitoring.
Enable interactive human-bot conversations through Natural Language Processing – with specific use-case automation options.
Get richer and deeper insights across your tool stack and un-complicate your increasingly modern IT operations.
Route critical alerts to IT personnel through appropriate communication channels and the most up-to-date on-call schedules.
Build your own integration to any data source for full observability and collaboration.
Prevent costly service disruptions and handle repeated issues at scale with IT process automation.
Infraon’s product suite is SOC2 certified – meeting world-class standards for data security, availability, processing integrity, confidentiality, and privacy.
24X7X365 threat monitoring to identify all issues
Anomaly alerts to eliminate likelihood of threats
Actionable analytics to improve security governance
Session Monitoring
Use a disciplined framework for proactively streamlining processes, resources, personnel, information, and communication. Manage everything 24/7 by continuously examining, improving, and optimizing operations.
View Case Study
Infraon Helps BSNL
Establish processes that reduce the unnecessary noise you experience when incidents occur. Stay focused, along with your groups, and experience fewer interruptions when resolving issues.
View Case Study
Session Monitoring
Trigger powerful automated actions - customized to overcome complexities of modern IT ecosystems. Ensure a closed loop of discovery, analysis, detection, prediction, and automation.
View Case StudyInfraon AIOps transforms operational workflows by replacing reactive firefighting with predictive intelligence. It correlates alerts, filters noise, and points to root causes before they escalate into incidents. Teams benefit from automated ticket routing, early detection of anomalies, and faster resolution times, all from a single dashboard.
Infraon AIOps also improves visibility across hybrid environments, making troubleshooting less fragmented and more action-oriented.
Yes. It is built to be modular, with a lean setup ideal for startups and mid-sized companies. Infraon AIOps doesn’t require a full-fledged data science team to deliver results. Even small teams can monitor key metrics, respond more quickly to issues, and run preventive workflows with minimal overhead.
Infraon AIOps’ intuitive UI and affordable pricing make it an easy fit for businesses with constrained IT resources.
Infraon AIOps complements your current IT environment by integrating smoothly with widely used tools across monitoring, service management, and infrastructure management.
You can plug into:
This integration ecosystem helps unify data streams and reduce silos.
Infraon AIOps is equipped to detect and respond to a wide range of IT issues across multiple layers of the IT infrastructure.
It handles:
These incidents are correlated, categorized, and escalated intelligently.
Infraon AIOps uses machine learning to reduce alert noise and surface only what matters. Events are grouped by context, and redundant notifications are automatically suppressed. Priority is assigned based on business impact, making escalation more relevant and timely.
Alerts are delivered through preferred channels, such as email, collaboration apps, or service desk platforms, with routing rules that adjust based on urgency and the responsible team. This smart filtering ensures faster awareness and less fatigue.
Yes. Infraon AIOps uses historical data and real-time metrics to build predictive models around capacity needs. It helps with:
With these insights, teams can make strategic decisions before issues arise.
Security is baked into every layer of Infraon AIOps. It uses encryption protocols for data at rest and in transit, supports multi-factor authentication, and maintains audit logs for traceability.
Access rights are governed by strict control policies that limit visibility and actions to approved users. Routine security assessments and patch cycles help maintain alignment with industry regulations and emerging threat models.
