BigPanda AI Detection

Automate L1 detection with real-time signals, AI-generated insights, and guided actions for responders.

Benefits

  • Faster, more accurate detection: Automatically identify high-priority alerts that affect service availability and require immediate attention, then correlate and enrich them into context-rich incidents for comprehensive visibility.
  • Improve contextual understanding: Provide all your teams with a holistic view of the alerts generated by your ITSM tools, monitoring and observability tools, external observability sources, and knowledge bases.
  • Unify first response teams: Integrate your service desk tickets with your NOC team’s alert pipeline to reduce repetitive tasks, enhance visibility, and improve team collaboration.
  • Optimize MSP resources: Streamline incident detection between your internal teams and managed service providers (MSPs) to reduce your ticket volume, deliver accurate insights, and ensure teams focus on solving unique, high-priority issues first.

BigPanda AI detection automatically ingests, correlates, and interprets alerts from your IT environments, helping your L1 service desk and NOC teams quickly identify critical issues before they impact the business.

It correlates fragmented data from internal monitoring and observability tools, external observability sources, and service desk tickets into a normalized view. Automated detection reduces alert noise and prevents your L1 teams from being bogged down by manual workflows, enabling them to focus on proactively addressing major incidents and responding accurately.

  • Increase situational awareness: Detect and correlate alerts from internal monitoring and observability tools, external observability sources, service desk tickets, and other ongoing incidents. This unified view provides cross-domain visibility across the IT environment, enabling your L1 teams to quickly identify any risks of potential outages and service disruptions.
  • Empower L1 teams: Enrich your alerts with critical context from CMDB, observability, and change data, enabling your L1 service desk and NOC teams to quickly diagnose issues, take immediate action, and streamline incident response.
  • Lower operational costs: Automate time-consuming detection workloads, enabling L1 service desk and NOC teams to manage alerts more efficiently and allocate resources to higher-value activities.

Key capabilities

  • AI-powered event management: Reduce your ticket volume and equip your responders with AI-generated insights by ingesting, normalizing, and correlating alerts from monitoring and observability tools, external observability sources, and service desk tickets.
  • External observability: Enhance your team’s visibility by incorporating observability data from external sources, including social media, power and weather outage reports, and the status pages of cloud providers and third-party SaaS applications
  • Service desk observability: Integrate your IT service management (ITSM) data into alert pipelines to bridge the knowledge gap between your NOC and service desk teams, correlate incidents with incoming alerts to detect anomalies, and decrease duplicative work.
  • Incident correlation: Correlate your simultaneous incidents to identify common root causes and gain insight into the full scope and impact of incidents across shared infrastructure.
  • IT Knowledge Graph: Build a dynamic and intelligent model of your IT environment by continuously integrating operational data, institutional knowledge, and AI-driven data augmented with human insights to help your L1 teams learn faster during evolving conditions.

“Not only can we see the alerts, but we can evaluate them using correlation that recognizes patterns, connects alerts, and leads to fewer incidents.”

Dan Bartram

Head of Automation and Monitoring,

Gamma Communications

External observability

IT Knowledge Graph

Incident correlation

Challenge

Monitoring and observability tools (internal observability) often fail to detect alerts caused by external factors, such as power outages and weather events.
Teams, tools, and data are often siloed, forcing internal and external response groups to act independently, frequently without visibility into what others are doing.
Teams often lack cross-domain visibility, making it difficult to identify an incident's true impact and to determine its connection to other ongoing incidents.

How BigPanda helps

BigPanda integrates alerts from external sources (external observability) to provide additional context for greater awareness.
The BigPanda IT Knowledge Graph uses data from monitoring and observability tools, institutional knowledge, and user insights to power the platform.
Incident correlation clusters ongoing incidents to reveal hidden relationships, the full scope of the problem, and every impacted service and infrastructure component.

Business value

Eliminate blind spots by incorporating external observability data.
Evolve from reactive IT operations to proactive, agentic AI-powered decisions.
Achieve a broad, accurate understanding of potential issues before they impact your business.

External observability

Challenge

Monitoring and observability tools (internal observability) often fail to detect alerts caused by external factors, such as power outages and weather events.

How BigPanda helps

BigPanda integrates alerts from external sources (external observability) to provide additional context for greater awareness.

Business value

Eliminate blind spots by incorporating external observability data.

IT Knowledge Graph

Challenge

Teams, tools, and data are often siloed, forcing internal and external response groups to act independently, frequently without visibility into what others are doing.

How BigPanda helps

The BigPanda IT Knowledge Graph uses data from monitoring and observability tools, institutional knowledge, and user insights to power the platform.

Business value

Evolve from reactive IT operations to proactive, agentic AI-powered decisions.

Advance correlation

Challenge

Teams often lack cross-domain visibility, making it difficult to identify an incident's true impact and to determine its connection to other ongoing incidents.

How BigPanda helps

Incident correlation clusters ongoing incidents to reveal hidden relationships, the full scope of the problem, and every impacted service and infrastructure component.

Business value

Achieve a broad, accurate understanding of potential issues before they impact your business.

“BigPanda has significantly helped deduplicate, correlate, and automate our process. The enrichment data we process through BigPanda enables us to create more specific and insightful alert tags.”

Mark Peterson

Supervisor IT Operations,

Cambia Health Solutions