Securafy combines managed IT, cybersecurity, compliance, and automation expertise to help businesses evaluate and implement AI securely across their real systems, data, and workflows.
Model Context Protocol is the specification most AI agents now use to reach your files, databases, and internal systems. It stopped being controlled by a...
Five national cybersecurity agencies and NIST published new agentic AI guidance across the first five months of 2026, and the...
Your AI vendor will have an outage. The only question is whether it happens on a slow Tuesday or during your month-end close,...
Multi-agent AI breaks down at the handoff, not inside any single agent. Each agent can execute its own task correctly while the...
Leadership teams spent good money on AI training this year. Adoption climbed, course completions climbed, and the AI skills gap...
Shadow AI is the AI your employees are already using without your knowledge. Free chatbot accounts, browser extensions, and AI...
Rodney Hall breaks down AI security and governance into eight operational steps — from discovering shadow AI tools to setting an...
Browse practical guidance by the problem you are solving or the stage of AI adoption your business is in.
Plan adoption, evaluate use cases, measure readiness, and decide where AI belongs.
P02Protect data and identities, and create the ownership and oversight AI needs.
P03Build useful automations and agents without losing control of what they can do.
P04Compare platforms, models, and the infrastructure businesses are actually adopting.
P05Understand how AI intersects with regulations, audits, and industry obligations.
P06Train your team and track the technologies, threats, and research that matter.
How AI affects workflows, privacy, security, compliance, and decision-making across industries where the margin for error is smaller.
PHI exposure, clinical workflow risk, and vendor BAAs.
Explore healthcare AIPrivilege, confidentiality, and AI-drafted work product.
Explore legal AIModel risk, data handling, and examiner expectations.
Explore financial services AIOT/IT boundaries and vendor-connected automation.
Explore manufacturing AIClient data handling and audit-trail expectations.
Explore accounting AICMMC, CUI handling, and vendor-flowdown requirements.
Explore government contractor AIClient confidentiality and AI-assisted deliverables.
Explore professional services AIGeneral information only. Not legal, compliance, or regulatory advice for your organization.
AI University helps teams move beyond AI curiosity through practical lessons, secure workflows, guided experiments, and real projects built for everyday business use.
Score where your business stands before you commit budget.
Take the assessmentA starting policy your legal and IT teams can adapt.
Get the templateQuestions to ask before you sign with an AI vendor.
Download the checklist