Cybersecurity

Exploration and structuring of use cases where AI connects with security tools to create practical value.

Structuring an email protection capability focused on detecting phishing, fraud, impersonation, and other interactions capable of compromising critical business processes.

Structuring an incident management operating model that connects governance, roles, playbooks, evidence, communications, exercises, metrics, and continuous improvement.

An RBVM approach connecting data quality, asset criticality, exposure, severity, threat, controls, remediation constraints, ownership, and residual risk.

An approach for moving away from isolated product-centered cybersecurity decisions and toward capabilities the organization needs to execute.

Technology can enable a capability, but the capability exists only when people, processes, decisions, controls, and evidence work together.

Architecture quality depends on more than technology: operability, cost, skills, dependency, recovery, governance, and the real ability to sustain it also matter.

Vulnerability management creates value when it turns thousands of findings into a manageable number of decisions that can be executed, validated, and explained.

A CVSS score can tell us a great deal about a vulnerability and very little about what an organization should do first.

Response capability is built before the incident: by defining decisions, channels, scenarios, evidence, communications, and exercises that reduce unnecessary improvisation.