Your AI Agents Outnumber Your Employees 82 to 1. Who's Managing Their Access?
Nobody is. That's the uncomfortable answer for most mid-sized businesses running AI agents today. Agents get provisioned fast, granted broad access to get them...
Securafy combines managed IT, cybersecurity, compliance, and automation expertise to help businesses evaluate and implement AI securely across their real systems, data, and workflows.
Nobody is. That's the uncomfortable answer for most mid-sized businesses running AI agents today. Agents get provisioned fast, granted broad access to get them...
OpenAI just launched its own certification program, with a public goal of certifying 10 million Americans by 2030 and launch...
Budget season for 2027 is starting, and the numbers are not kind to teams without a documented AI strategy. Forrester expects...
AI projects fail without CEO ownership because no governance policy or training program replaces a named person who is...
Electricity availability, not model quality or price, now decides how fast an AI vendor can deliver what it sells you. When a...
NIST published a draft guide in August 2026 that shows security and compliance teams how to use generative AI to draft their...
AI workslop is content or output that looks finished but is not, and it is growing as teams hand more work to agents instead of...
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.
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