Notes from the field.
Practical guidance for leaders and practitioners working where cybersecurity, artificial intelligence, public-sector accountability, fraud risk, and workforce decisions intersect.
Cybersecurity
A Practical Five-Phase Approach to Cybersecurity Assessments
A five-phase cybersecurity assessment approach covering scope, baseline, benchmarking, prioritization, executive communication, and implementation planning.
Cyber-Enabled Fraud: Why Security and Fraud Teams Need a Shared Risk View
A practical look at cyber-enabled fraud, identity abuse, payment and vendor risk, and why security and fraud controls should be evaluated together.
SIEM/SOAR Modernization: Start With the Operating Model
Why security operations modernization should begin with outcomes, telemetry, detection, workflows, and ownership before selecting replacement tools.
Zero Trust in Public-Sector Modernization: What to Prioritize First
A practical guide to prioritizing identity, visibility, data, applications, and operating processes in public-sector zero-trust modernization.
AI & Governance
Agentic AI Security: Five Questions Before You Give an Agent Tools
Five security and governance questions to ask before AI agents receive access to enterprise tools, data, credentials, and automated actions.
AI Governance Before AI Scale: Five Controls Organizations Need
Five practical governance controls to establish before enterprise AI adoption scales across sensitive data, users, and business processes.
Public-Sector AI Readiness: What to Assess Before Selecting a Model
Assess mission value, data, governance, security, workforce, and operating readiness before choosing an AI model or enterprise platform.
Training & Workforce
Security Awareness That Changes Decisions, Not Just Completion Rates
How to design security awareness around decisions, role-specific risk, practical exercises, and measurable behavior rather than annual completion alone.
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