Real projects, real frameworks, real detection engineering. Not a checklist firm.
Controls overlap more than most firms admit. One remediation, mapped correctly, can satisfy several regulatory obligations at once — five frameworks we work in most often:
The US standard for cybersecurity risk management, covering everything from governance to incident response.
The internationally recognised standard for building and certifying an information security management system.
The EU's mandatory cybersecurity directive for critical infrastructure and essential service providers.
Privacy management aligned with GDPR, built on the ISO 27701 extension to ISO 27001.
Saudi Arabia's National Cybersecurity Authority controls framework for critical and cloud systems.
One remediation, mapped once, satisfying multiple frameworks simultaneously instead of repeating the work per audit.
We read the configs and parse the traffic captures ourselves. Findings are reproducible, not asserted.
OT, robotics, and AI/ML systems most generalist firms won't touch.
30/60/90-day review cycles with formal closure certificates, not a report that sits on a shelf.
Detection systems built to run in real environments, not just in a lab notebook.
Intrusion detection that learns what "normal" looks like and flags what isn't, instead of relying on manually written rules. Powered by Isolation Forest, an anomaly-detection algorithm, alongside Zeek network monitoring.
Built for consumer and corporate use alike. Catches BadUSB and rogue-HID devices before they compromise a personal laptop or an entire corporate fleet.
Industrial protocol monitoring for Modbus, DNP3, and IEC 104 traffic, with time-series anomaly detection tuned for sensor data rather than IT network traffic.
Our cybersecurity work is backed with academic study, not just field experience — our team of Cybersecurity Honours Graduates together with their leaders who are at Master's level in Cybersecurity Operations & Management always standing ready for client engagement.
Applied research into unsupervised and semi-supervised anomaly detection for network and industrial traffic, beyond signature-based rules.
Security research at the intersection of robotics, industrial control, and AI — where an attack has physical, not just digital, consequences.
Research into mapping controls across frameworks automatically, so one remediation can be shown to satisfy several regulatory obligations at once.