Securafy combines managed IT, cybersecurity, compliance, and automation expertise to help businesses evaluate and implement AI securely across their real systems, data, and workflows.
The useful question is not which marketing tasks AI can do, but which ones can run unattended and which need a human before they reach an audience. Randy Hall...
Most SMBs know AI is changing the game, but few know whether their infrastructure, security, and policies can actually support it...
Most AI policies fail not because they are wrong but because they are unusable at the moment someone has to decide. Rodney Hall...
Anthropic now embeds an invisible watermark in text generated by supported Claude models, applied worldwide because of an EU...
Every team needs a short, memorable list of what must never be pasted into a general-purpose AI tool. But the list is the easy...
A vendor shipping a scanner for third-party AI plugins tells you something uncomfortable: before it existed, nothing was checking...
Employee AI training and leadership AI training are two different curricula, not one course delivered at two altitudes. Jillian...
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