Anomaly detection
Identify unusual patterns in logins, transactions, systems or operational data.
Security & monitoring AI
Security AI that monitors 24/7 and surfaces what matters
Turn raw logs, sensor data and system alerts into clear priorities. Our solutions detect anomalies, collect context and start controlled follow-up—with people in charge of critical actions.
From signals to decisions
Respond faster without losing control
AI supports detection, analysis and follow-up. Policy, decisions and final responsibility remain with your organization.
Alert prioritization
Combine context and impact so teams work on what matters first.
Automated enrichment
Add relevant logs, history, assets and ownership to every incident automatically.
Safe response workflows
Create tickets, notify owners and perform only explicitly approved actions.
Dashboards and audit logs
Track status, response time, decisions and changes in one reviewable view.
Reporting and trends
Find recurring causes, operational risks and improvement opportunities over time.
AI monitoring is a supporting layer, not a replacement for appropriate security policy, professional judgment or incident response.
Implement safely
Start small, measurable and controlled
Risk and use case
We select one clear process with reliable data sources and measurable response goals.
Baseline and rules
We define normal behavior, exceptions, roles and escalation paths.
Supervised pilot
AI advises and enriches while your team validates decisions.
Controlled scaling
Only proven workflows receive further automation and continuous monitoring.
FAQ
Security AI questions
Does Security AI replace our security team?
No. It helps teams analyze and prioritize signals faster. Critical decisions and responsibility remain with people.
Can actions be performed automatically?
Yes, but only within agreed limits. We recommend explicit human approval for critical actions.
What data can be monitored?
That depends on the use case: application logs, access data, transactions, sensor data, tickets or operational events, for example.
Can it connect to existing tools?
Often yes, through APIs, webhooks, log exports or existing ticketing and monitoring systems.
Make alerts useful instead of louder
We identify where AI can accelerate detection, context and follow-up without unnecessary autonomy or risk.