AIOps and NIS2: enhancing operational resilience through automation
Cybersecurity and Compliance · 2 min
Articles by Tomás Romão
AIOps helps organizations strengthen monitoring, accelerate incident response, and support compliance with the operational requirements of the NIS2 Directive.
TL;DR
- NIS2 demands a continuous approach to risk management and incident response
- AIOps improves monitoring and accelerates anomaly detection
- Observability facilitates incident analysis and investigation
- Automation reduces response times and increases operational efficiency
- AIOps complements, but does not replace, NIS2 organizational requirements
Why NIS2 demands greater operational maturity
The NIS2 Directive has strengthened the requirements applicable to organizations deemed essential and important, demanding a more structured approach to risk management, service continuity, and incident response. As infrastructures become more distributed and complex, the volume of events, alerts, and operational data that needs to be analyzed also increases. In this context, automation becomes an essential element to support technical teams without compromising response capability.
Where AIOps adds value
Artificial Intelligence for IT operations (AIOps) applies artificial intelligence and machine learning to the monitoring and operation of technological infrastructures. By automatically correlating large volumes of events from different systems, AIOps makes it possible to identify anomalies, reduce operational noise, and prioritize incidents with greater impact. This capability significantly improves the efficiency of operations teams and accelerates the [response to potential failures](/en/blog/como-a-observability-e-o-aiops-ajudam-a-acelerar-a-resposta-a-incidentes) or threats.
Observability as support for compliance
An [observability strategy](/en/solutions/sistemas-monitorizacao) provides an integrated view of applications, infrastructure, networks, and cloud services. Continuous collection of metrics, logs, and signals facilitates incident investigation, root cause analysis, and the production of evidence that can support audit processes and demonstrate operational maturity. Although NIS2 does not impose specific technologies, the ability to continuously monitor systems is an important factor in supporting the achievement of its objectives.
Automation as a complement to risk management
Automation helps reduce repetitive tasks, accelerate response processes, and improve operational consistency. However, [NIS2 compliance](/en/blog/nis2-os-principais-passos-para-reforcar-a-conformidade) still relies on a balanced combination of technology, processes, and governance. AIOps should be seen as a tool to support decision-making and daily operations, complementing security policies, incident response plans, and risk management mechanisms.
Conclusion
The growing complexity of digital infrastructures demands new approaches to ensure high levels of availability, security, and resilience. By combining observability, automation, and artificial intelligence, AIOps helps organizations respond more quickly to incidents and strengthen their operational maturity. Integrated into a broader [risk management strategy](/en/services/servicos-especializados), it constitutes an important ally in preparing for the challenges introduced by the NIS2 Directive.