Splunk is a data platform for searching, monitoring, and analyzing machine-generated data, widely used for security (SIEM/SOAR), observability, and IT operations. Its products help organizations collect and correlate logs, metrics, traces, and security events to detect incidents, investigate threats, and improve system reliability. Splunk was acquired by Cisco in 2024 and operates as part of Cisco’s security and observability portfolio.
This is like putting a smart security camera on all your insurance transactions. It watches events in real time, spots suspicious patterns that look like fraud, and alerts your team before money goes out the door.
Think of this as a playbook for turning your IT monitoring tools into a smart “control tower” that spots problems early, understands what’s going wrong across systems, and often fixes or routes issues automatically—using ServiceNow’s AIOps capabilities as the backbone.
This is like a super‑smart search and monitoring engine for banks and financial firms that can instantly scan all their data (transactions, logs, customer activity, documents) to spot risks, fraud, and opportunities, then plug into AI tools for answers and automation.
Imagine your entire IT infrastructure—servers, networks, apps—constantly watched by a very fast, very smart assistant that never sleeps. It notices tiny warning signs before humans can, connects dots across thousands of alerts, and either fixes issues automatically or tells your team exactly where to look.
This is like an AI control tower for your IT systems that constantly watches logs, metrics, and alerts, spots issues before humans notice them, and suggests or triggers fixes automatically.
This is like giving your IT operations team a smart autopilot: it continuously watches all your systems, spots issues before they become outages, and automatically takes many of the routine actions a human operator would—only faster and at much larger scale.
This is like an always-on AI control tower for your IT systems that watches all your apps, servers, and cloud services, spots issues before users notice, and tells your teams exactly what to fix and why.
This is like an AI-powered control tower for your IT systems: it watches all your monitoring tools, connects related alerts into a single story, and tells your teams what’s breaking and where, instead of drowning them in noisy notifications.
This is about using open source AI tools as a smart control room for IT operations: the AI watches logs, metrics, and alerts from your systems, spots issues early, and can even fix some of them automatically—without needing an army of engineers staring at dashboards all day.
Think of AIOps platforms as a 24/7 AI control tower for your IT systems. They watch logs, metrics, and alerts from all your tools, spot patterns humans would miss, and automatically fix or route problems before they become outages.
Think of a Security Operations Center as an airport control tower watching thousands of planes (devices, users, apps) at once. Traditional tools show you every single radar blip and alarm; humans get overwhelmed and miss real threats. AI- and ML-powered SIEM act like an assistant that learns normal flight patterns, filters out the noise, and flags only the suspicious flights that may be hijacked — and often does it in real time.
Think of AIOps as an always‑on control tower for your IT systems that watches all the logs, alerts and performance metrics, spots issues early, and suggests or triggers fixes automatically—like an experienced operations team that never sleeps and reads everything at once.
Think of AIOps as an AI control tower watching all your IT systems 24/7. It reads all the logs, alerts, tickets, and metrics, spots patterns humans miss, and then either recommends or automatically takes actions to keep systems healthy and prevent outages.
This is like giving your IT department a smart assistant that constantly watches all your servers, apps, and networks, learns what “normal” looks like, and alerts you early when something strange is happening—before it becomes a major outage.
Imagine your entire IT environment—servers, networks, apps, cloud services—constantly watched by a smart assistant that never sleeps. It reads all the logs, alerts, tickets, and performance data, spots early warning signs, figures out what’s really important, suggests fixes, and in many cases can trigger automated responses before users even notice a problem.
Think of this as a 24/7 security guard for your computers and networks. It continuously watches what’s happening, looks for signs of break‑ins or suspicious behavior, and alerts your team before a small issue turns into a major cyber incident.