Securafy combines managed IT, cybersecurity, compliance, and automation expertise to help businesses evaluate and implement AI securely across their real systems, data, and workflows.
Most SMBs treat AI adoption as a procurement decision: buy the seats, announce the rollout, wait for the productivity. The licenses get provisioned and almost...
AI governance isn't about restricting innovation—it's about deploying AI tools safely, transparently, and in alignment with your...
AI tools promise productivity gains, but most business owners don't know whether their employees are exposing sensitive data...
Small businesses face a new generation of AI-powered threats while simultaneously adopting AI tools that create fresh security...
Many organizations treat AI security, governance, and compliance as interchangeable concepts—but that confusion creates gaps that...
Without clear guardrails, AI tools can expose your organization to security gaps, compliance violations, and unintended data...
Microsoft Copilot can accelerate productivity across your organization, but without proper data governance, it can also expose...
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