Security Anomaly Agent
The Security Anomaly Agent helps your organisation to automatically and continuously analyse your Azure log data for security risks. The AI-powered agent not only detects known attack patterns, but also identifies unusual or previously unknown activity in real time – making genuine cybersecurity risks visible much more quickly.
Security monitoring reimagined: intelligent, automated, scalable
The Security Anomaly Agent offers a modern solution to the challenges of traditional security monitoring in complex cloud environments: it automatically analyses Azure logs and JSON-based log formats, detecting security-critical anomalies in real time – including those that are unpredictable or not captured by rule-based systems.
At the same time, log data is intelligently reduced without losing important information. This makes it easier to manage large volumes of data, detect hidden attack patterns more quickly and classify genuine threats more clearly. Anomalies are also grouped and prioritised, which reduces the analysis workload and enables more targeted alerting.
Who is the Security Anomaly Agent relevant for?
This is particularly relevant for organisations with Azure-based infrastructure that have high security and automation requirements. Organisations with large volumes of log data, in particular, benefit from the ability to efficiently detect security-related patterns and reliably identify previously unknown attacks.
Your benefits at a glance
The agent detects not only known activities but also previously unknown or unusual activities in your log data in real time.
Security alerts are intelligently grouped and prioritised, reducing noise and ensuring that only relevant notifications remain visible.
By automatically reducing and organising the logs, large volumes of data can be analysed and understood much more easily.
Relevant security incidents are presented in a clear and concise manner, enabling a faster and more targeted response.
The result
The Security Anomaly Agent automatically transforms large, unwieldy volumes of Azure log data into consolidated, prioritised security alerts. Instead of receiving numerous individual alerts, teams receive a small number of relevant, consolidated notifications about genuine threats – including previously unknown anomalies. This reduces ‘alert noise’, increases visibility into actual risks, and enables your security teams to respond more quickly and effectively.
We will proceed as follows
Integration & Setup
Connecting your Azure log sources (all standard Azure logs)
Data preparation
Cleaning and reduction of log data (including deduplication)
AI analysis
Anomaly detection with Azure OpenAI – even without predefined rules
Alerting
Automatic, consolidated and prioritised alerting in the event of critical findings
Operation & Optimisation
Ongoing operation and continuous improvement of detection
Pricing
plus €30 per anomaly incident
Minimum contract term: 12 months
FAQ – Frequently asked questions about the Security Anomaly Agent
The Security Anomaly Agent is an AI-powered security service that automatically analyses Azure and JSON log data. It detects security-critical anomalies in real time – including unknown attack patterns – whilst reducing the volume of log data through intelligent processing. This provides organisations with clear, prioritised security insights rather than confusing raw data.
The solution is designed for organisations with Azure-based cloud infrastructure and large volumes of log data. Security, DevOps and IT teams stand to benefit most, as they can automate their security monitoring whilst detecting unknown attacks more quickly – without the need for additional manual analysis.
It addresses typical challenges such as growing log data volumes, limited visibility into threats, high false positive rates and a lack of detection of unknown attacks. AI-based analysis highlights relevant security events and filters out irrelevant data, enabling security teams to work more efficiently.
The agent aggregates Azure logs, cleanses and reduces them (‘log shrinking’), and then analyses them using Azure OpenAI. Relevant security anomalies are then detected, consolidated and prioritised. Alerts are automatically delivered via tools such as email, Teams or Jira.
The solution supports all common Azure log sources, such as Frontdoor Access, WAF, App Service Logs, AKS and Entra, as well as JSON-based log files from individual systems. It is flexibly scalable and can be integrated into existing Azure environments.
Unlike rule-based systems, the Security Anomaly Agent also detects unknown or undefined attack patterns. Traditional tools often only respond to known signatures, whereas the agent uses AI to identify behaviour and anomalies in a context-based manner.
Intelligent consolidation groups together and prioritises similar or related security events. This results in fewer, but significantly more relevant, alerts. Security teams are provided with a clear overview rather than a flood of individual, often redundant alerts.
Teams benefit from faster threat detection, less manual analysis, clearly prioritised alerts and greater visibility into genuine risks. This enables them to respond more quickly, deploy resources more efficiently and enhance the overall security of their cloud infrastructure.
Yes, the Security Anomaly Agent is fully GDPR-compliant and is operated within the EU (Azure region). Log data is processed in accordance with current data protection requirements and security standards.
The implementation begins with a quick setup of the Azure Log connection and agent workflows. This is followed by data preparation, AI analysis and alerting integration. Optionally, a two-day proof of concept can be carried out to identify initial security anomalies.
Organisations receive consolidated, prioritised security alerts rather than unstructured log data. This enables attacks to be detected more quickly, unknown risks to be identified, and the operational burden of security monitoring to be significantly reduced.
Yes, a two-day proof of concept allows you to test the solution directly on existing Azure log data. This makes it possible to identify initial anomalies and quickly assess the value of AI-powered analysis.
Back up your systems and log sources now
Take advantage of our expertise in data security and complex cloud platforms. Get started with a 2-day proof of concept – and identify initial security anomalies in your Azure log data.