Automated L1 detection and response

Boost L1 team productivity by automating detection, triage, and response with AI-driven insights and guided actions for responders.

Proactive identification and informed response

BigPanda unifies data silos and uses AI to automatically provide insights and next steps for L1 teams, enabling them to identify, contextualize, and resolve incidents faster.

Detect incidents proactively

Automate the detection and correlation of critical signals to reduce the time it takes to identify and understand emerging incidents.

Eliminate guesswork and empower L1 teams to confidently navigate responses and identify business impact in real time.
View all enriched, normalized, and correlated alerts from internal and external observability, CMDB, topology, and change systems in one location.

Streamline L1 workflows

Automate manual tasks by correlating context from various data sources, enabling NOC and service desk teams to gain situational awareness, prioritize response, and improve team productivity.

Lower operational costs

Eliminate duplicate L1 workflows and reduce managed service provider (MSP) spend with unified, real-time visibility into top-priority issues and business impact. Break down information silos and prevent independent, redundant efforts on identical issues.

Lower operational costs and reduce ticket volumes by empowering L1 teams to detect and respond to incidents quickly.
Streamline L1 workflows by automating runbook and knowledge base execution.

Improve customer service

Automate triage and response actions, such as executing runbooks and knowledge base articles, so L1 teams can resolve or escalate faster, limiting end-user impact.

Autodesk logo

“With the help of BigPanda, we reduced incidents by 69% and significantly improved IT operational efficiency.”

Samy Senthivel

Director of Observability Services, Autodesk

Hotel and Resorts logo

“With BigPanda, we are now taking advantage of machine learning automation and artificial intelligence to further decrease the mean time to identify an incident. We have reached a service availability of 99.8%, which is the best on record at IHG for our internal systems.”

Alvin Smith

Vice President of Global Infrastructure and Operations, InterContinental Hotels Group (IHG)

WEC Energy Group logo

“AI Incident Assistant speeds up MTTR and enhances mean time to knowledge, allowing a deeper understanding of impacts based on historical data and streamlining communication between teams.”

Steve Liegl

Director of Infrastructure and Operations, WEC

FAQ

What types of data does automated detection and response analyze?

BigPanda ingests and analyzes real-time and historical data to detect incidents and recommend or automate responses. This includes metrics, logs, traces, and events from your monitoring and observability tools (like application performance monitoring, infrastructure monitoring, and network monitoring), service desk tickets, configuration management databases (CMDBs), change management systems, knowledge base articles, and external observability data. By correlating these diverse data points, BigPanda gains a comprehensive understanding of your IT environment and can autonomously identify and respond to incidents more effectively. Learn more about BigPanda integrations.

Does BigPanda AI learn and adapt?

Agents recommend or automate remediation based on incident context, leveraging institutional and informal knowledge, even if it’s undocumented. Real-time insights enable systems to learn from past resolutions and adapt dynamically, reducing reliance on manual escalation.

How does BigPanda automate response for L1 teams?

BigPanda AI Detection and Response eliminates guesswork and empowers L1 teams to resolve incidents confidently with suggested and automated remediation enriched by institutional and informal knowledge, even when it’s undocumented. When escalation is required, it automatically assigns and equips L2 teams with complete incident context.

ANALYST REPORT

Gartner® Market Guide for Event Intelligence Solutions, 2025