Tieto Tech Consulting

Tieto's AI-powered System Behavior Analysis

Detect anomalies and resolve network issues faster with our System Behavior Analysis (SBA) solution that learns how your network and software systems normally behave, detects meaningful deviations across logs, events and KPIs, and helps engineering and operations teams focus troubleshooting on the areas most likely to matter.

What is SBA?

An intelligent layer for troubleshooting and network analysis

Modern telecom environments generate enormous volumes of KPIs, alarms, events and logs. Analysing that behaviour manually is time-consuming, while traditional anomaly detection can identify unusual data without necessarily understanding the underlying system behaviour or root cause.

SBA is an AI and machine-learning based solution designed to help engineers understand the behaviour of complex systems. 

It works with existing logs and metrics, learns behavior from predefined tests or real-world use cases, and then identifies behavioural deviations in new runs.

SBA is bringing system understanding into the analysis

Key features

  • KPI analysis to identify deviations across complex metrics.
  • Functional behaviour analysis to identify which parts of a system behave differently.
  • Delay and bottleneck analysis to locate abnormal timing and performance changes.
  • Automatic fault classification to group similar faults and help engineers distinguish recurring issues from new ones.
  • It uses efficient machine learning models, so it's fast and not resource hungry, unlike solutions that use LLMs.
  • It can be fully deployed on-premises for your data protection and sovereignty.
  • It's system-agnostic: it supports scenarios ranging from CI/CD and system testing to production systems and network monitoring, systems and network analysis and automation.
Real-world use cases
Discover how SBA already helps to reduce network anomaly detection time, warns of issues before they occur, and saves up to 50% of engineers time.

German Tier-1 Mobile Operator: canary deployment assurance solution

For a Tier-1 European telecom operator, SBA has been applied as an AI-driven performance anomaly detection platform within an automated canary monitoring solution for a cloud-native 5G mobile core environment. SBA analysed operational metrics, alarms and log data, learns normal system behaviour and identifies deviations associated with software releases, configuration changes or emerging service degradation. Engineers of our customer can now provide early warning of potential problems before they affect customers, supporting faster root-cause analysis and safer rollout validation. For more details about this project, please reach out to our team.

50% less time spent on log analysis in automated 4G/5G

For Sequans Communications, an on-premises, ML-based SBA solution was implemented in a large-scale automated 4G/5G continuous-integration test environment. Models trained on successful runs establish a baseline of normal behavior. SBA then highlights deviations and subtle anomalies during new test executions, helping engineers focus on the most relevant steps and components. As a result, Sequans reported 50% less time spent on log analysis.

Read the full story here

Log analysis time reduction

10x

KPIs analyzed

200

Tier 1 Network Equipment Producer: accelerating troubleshooting in complex telecom systems

For a global Tier-1 network equipment provider, SBA has been used to guide engineers towards the components and scenarios where behaviour deviates instead of relying solely on manual log inspection. As a result, troubleshooting time was reduced from hours to minutes, supporting faster root-cause analysis, greater test efficiency and improved product quality. Now, our customer spends less engineering time searching through logs and more time resolving the problem. For more details about this project, please reach out to our team.

Our customers

Why SBA?

Find problems faster. Understand them better. Reduce operational risk.

Reliable system analysis companion in the dynamically changing telco networks

  • 1

    Accelerate troubleshooting

    SBA shows normal and abnormal behaviour across the system, helping engineers focus analysis on relevant deviations rather than manually working through massive volumes of logs. As a result, system analysis time decreases from hours or days to minutes.

  • 2

    Build deeper system understanding

    Rather than treating individual metrics in isolation, SBA learns functional behavior and helps engineers understand where the system is deviating. This additional context can support faster and more accurate fault-routing decisions to help see exactly where a behavior has changed.

  • 3

    Reduce risk as networks evolve

    SBA can identify deviations that conventional rule-based tests may not detect and can be integrated into testing, production network analysis and automation environments. For telco operators introducing frequent software releases and configuration changes, this enables to provide earlier warning during controlled canary deployments.

Let SBA detect it for you

What if you are proactively warned about the anomalies?

As mobile networks become increasingly software-driven and complex, troubleshooting does not have to mean searching manually through millions of signals.