Software · Cybersecurity
SIEM and SOC software
One place where security logs land, get correlated and turn into alerts your analysts can act on.
A security team buried in raw logs misses the one event that matters. We build SIEM pipelines and SOC consoles that collect logs from servers, cloud accounts, firewalls and identity systems, normalise them, and run detection rules you can read and test. Alerts arrive with context attached, so an analyst starts investigating instead of searching.
What we build
- Log collection from servers, cloud audit trails, firewalls, identity providers and SaaS apps
- Parsing and normalisation into a common schema such as Elastic Common Schema or OCSF
- Detection rules written in Sigma, versioned in Git and tested against sample logs
- Analyst consoles with alert queues, timelines and one-click pivots between related events
- Case management that records who investigated what, with notes and evidence attached
- Retention tiers that keep recent logs fast to search and older logs cheap to store
DemoInteractive · sample data
Try it live.
A working sample with made-up data. It runs in your browser; nothing is sent anywhere.
- Events per second4,820
- Open alerts23
- Time to triage14 min
- Rules passing tests98 %
What it does well
Rules as code
Detections live in Git with tests, peer review and a history of every change.
Context on alerts
Each alert carries the user, host, asset owner and recent related events.
Noise control
Suppressions, thresholds and allow-lists cut repeat alerts without hiding new ones.
ATT&CK mapping
Every rule is tagged to a MITRE ATT&CK technique, so coverage gaps are easy to see.
Playbook hooks
A confirmed alert can disable an account or isolate a host after analyst approval.
Search that scales
Hot, warm and cold storage keep months of logs searchable within your budget.
Questions
Should we build a SIEM or buy a commercial one?
A commercial SIEM suits teams that want a managed product and can accept pricing by data volume. We build on or extend open platforms such as OpenSearch and Wazuh when ingest volume makes licences expensive, when logs must stay in your region, or when detections need to follow your own systems closely.
Can you connect the log sources we already have?
Yes. We list everything that produces logs today, from Windows event logs and Linux auditd to cloud audit trails and SaaS admin logs, build a collector and parser for each, and check that timestamps, hostnames and user fields line up before any detection rule depends on them.
How do you keep alert volume manageable?
We start with a small set of high-value detections, measure how often each fires and how often it is real, and tune before adding more. Every suppression is written down with a reason and an expiry date, so nothing stays hidden by accident.