Your Firewall NEVER SAW THE DATA WALK OUT THE FRONT DOOR
A firewall blocks intrusions. A SOC watches for anomalies. Neither raises an alert when a staff member pastes client data into a public AI tool, because nothing was breached, it was handed over willingly. Closing that gap needs an AI-specific policy, access controls and monitoring that run continuously, not your cyber security foundation alone.
Four AI Risks Your Security Stack Was Never Built To Catch
These show up on real Johannesburg SME networks, usually all at once, and not one of them trips a firewall rule, an antivirus signature or a SOC alert. None of it is an intrusion. It is staff doing their jobs with a tool sitting outside every control the business already pays for.
Shadow tools nobody signed off on
The personal ChatGPT account bookmarked, an extension that summarises email, an AI feature switched on inside a SaaS tool. None of it went through procurement, so none of it appears on an asset list, and nobody can secure a tool they do not know is running.
Data handed over voluntarily
Client records, financials or source code pasted into a public AI chat box to save ten minutes. Nothing was hacked and no account was compromised, so there is no incident to detect, just sensitive information now sitting on a server the business does not control.
Integrations connected without a check
A plugin, an API key or a Copilot style feature gets switched on because it looked useful, with nobody asking what systems or files it can actually reach. Scope creep happens one convenient connection at a time.
Who becomes accountable once the gap is named
Once these risks are on the table, accountability sits with the business, not with whichever tool a staff member happened to install. Most of the SMEs we work with in Artificial Intelligence adoption have moved past the experimentation stage, so the governance layer has to catch up to match that.
Most AI risk doesn't look like a breach, it looks like normal use: a personal ChatGPT account, a pasted client file, a plugin switched on because it looked useful. None of it goes through procurement, so none of it's secured. As your AI security partner, we bring those tools into view and name who's accountable for each one, before adoption outpaces the governance meant to cover it.
What's Included When We Take On Your AI Governance
This is not a one-off report. It runs as six pieces of work carried out together, and where it follows on from an AI Tool Selection & Integration engagement, we check what’s already connected before adding anything new.
Shadow AI risk review
A full inventory of every AI tool touching the business, the ones IT rolled out and the ones staff found themselves, browser extensions, personal accounts and buried plugins included.
Secure integration review
Every new connection, a plugin, an API key, a Copilot style feature, is checked for what it can reach before it goes live, not after something has already leaked.
Access and data controls
Technical limits and permission scoping, with blocking where the data is sensitive enough to warrant it, so the policy is enforced rather than left to good intentions.
AI Usage Policy
Plain language rules for what staff may and may not paste, upload or connect, written so a non-technical employee actually understands them, not a document written to be filed and forgotten.
Ongoing monitoring
An escalation path
How Governance Gets Enforced, Not Just Written Down
A policy document on its own stops nothing. What actually holds is the access, monitoring and review work sitting behind it, much of it already familiar to us from running CyberCommand managed SOC engagements across Johannesburg.
Access is scoped, not just assumed
Every AI tool gets checked against what it can actually reach, files, mailboxes, client records, and cut back to only what the role genuinely needs, the same principle we apply across a managed tenant.
New integrations pass through a gate
A plugin, an API key or a Copilot style connection does not go live until someone has checked what it touches, before rollout, not as a postmortem after something has already leaked.
Monitoring runs through the SOC, not a spreadsheet
Where a client already has CyberCommand watching their environment, AI usage patterns get folded into that same monitoring, so an unusual data pull gets caught by people watching around the clock.
Access gets reviewed, not set once and forgotten
Roles change, staff leave, new tools get adopted. Access scoping gets revisited on a set schedule rather than left exactly as it was configured on day one.
What It Actually Costs To Get Your AI Use Properly Governed
There is no flat monthly fee for this, because two businesses asking for it are rarely starting from the same place. Cost comes down to how many AI tools and integrations are already connected to your environment, how sensitive the data behind them is (client records and financials cost more to get wrong than a marketing tool), and whether you have already had an AI Readiness Assessment done, which shortens the risk review considerably. Scope matters too: a written usage policy on its own quotes differently to a policy backed by access controls and ongoing monitoring.
01 Number of AI tools already connected
02 Sensitivity of the data being handled
03 Whether a readiness assessment already ran
04 Scope: policy only, or policy plus monitoring
Who This Is For
This fits Johannesburg businesses where staff already use ChatGPT, Copilot or Gemini without a written policy, and those about to roll AI out company wide before launch. It also fits anyone who has completed an AI Readiness Assessment and now needs ongoing governance, not just a one time score, before an incident forces the issue.
How It Works
frequently asked questions
What is shadow AI, and should we actually be worried about it?
Shadow AI is any tool your staff are already using that IT never approved, a personal ChatGPT account, a browser extension, an AI feature buried in another app. None of it trips a firewall alert, because nothing was breached, so the review starts by finding out what is actually in use.
Will this stop our staff from using tools like ChatGPT?
No. The goal is safe use, not a ban. Most tools stay in use exactly as before, just with clearer rules on what can be pasted or uploaded.
What do you actually see when you monitor usage, is it invasive?
Monitoring tracks tool and data usage patterns, not personal browsing or private messages, so it flags a large client file leaving the business, not what someone typed to a colleague.
Does this cover AI already built into Microsoft 365, like Copilot, or only tools like ChatGPT?
Both. A built-in AI feature goes through the same access review as a brand new chat tool before it goes live. See our Microsoft Azure & Office 365 work for how we handle the platform itself.
Adopting AI Was Never The Risk, Leaving It Ungoverned Is
Every business we work with has staff using AI, so the choice is manage the risk or ignore it.