Generative AI moved from novelty to daily workflow faster than almost any technology before it. Employees now use browser-based AI assistants to research, draft, summarise, analyse and automate work — often without waiting for a formal rollout, a policy, or a licence. That is exactly where the opportunity and the risk meet. The productivity is real. So is the possibility that sensitive business information ends up pasted into a consumer-grade tool that sits entirely outside IT oversight.
Acronis GenAI Protection gives MSPs and businesses a practical way to make generative AI productive without losing control. Instead of blanket bans that people quietly work around, it gives you evidence of how AI is actually being used, and enforceable controls to keep that use safe.
Your people are already using AI
Most organisations underestimate their own AI footprint. A safe-AI programme cannot be built on assumptions — it needs visibility and proportionate controls. The problem is rarely malicious. It is a well-intentioned employee dropping a customer list, a contract, patient details or source code into a public chatbot to “get it done faster.” Once that data leaves your environment, you cannot recall it.
A safe-AI programme needs evidence and enforceable controls — not assumptions or blanket bans.
Four controls for safer AI adoption
1. Discover Shadow AI
Monitor browser-based GenAI tools across your protected environments. See which services are being used, by whom and how often — then use those trends and events to guide policy. You cannot govern what you cannot see, and discovery is what turns “we think people use AI” into a defensible baseline.
2. Protect sensitive prompt data
Inspect prompts for categories such as personally identifiable information, health information, payment-card-related data, credentials and confidential business content. Unauthorised submissions can be blocked before they reach a public or unsanctioned AI service — stopping the leak at the point of interaction rather than discovering it after the fact.
3. Stop harmful prompts
Detect and block prompt injection and other malicious or policy-violating prompts that could manipulate AI behaviour, bypass controls or introduce unsafe content. As organisations wire AI into more workflows, the prompt itself becomes an attack surface that deserves protection.
4. Govern application access
Use allow-only or block-only policies for GenAI applications and domains. Events can be attributed to logged-in users, which supports investigations through central events, widgets and reports — accountability, not just aggregate counts.
From observation to enforcement
The strength of the model is that it is staged. You do not flip a switch and start blocking on day one:
- Observe: Run detect-only mode and understand actual usage before imposing assumptions.
- Decide: Approve tools, purposes, data categories, owners and exception paths.
- Enforce: Activate proportionate prompt DLP, harmful-prompt and application controls.
- Improve: Review the evidence, tune controls, coach teams and extend broader DLP where required.
What the service can monitor and control
- Shadow AI monitoring — understand adoption and expose unmanaged tools.
- Sensitive-data classification — reduce the risk of personal, regulated or confidential data entering external AI services.
- Prompt DLP — block unauthorised data submissions at the point of interaction.
- Harmful-prompt protection — reduce prompt-injection and AI-abuse exposure.
- Application access control — align AI tool use to the approved application list.
- User attribution and reporting — support investigation, accountability and service review.
An important scope boundary
GenAI Protection focuses on browser-based GenAI interactions. Acronis positions its broader DLP service for protection across additional local and network channels, including local GenAI applications. Rather than pretend one control covers everything, Soteria Cloud will help define the coverage and package clearly for your risk and application landscape.
POPIA-aware AI governance
Technical controls can support accountability, processing-limitation and security-safeguard objectives — but only when they are paired with an approved-use standard, business ownership, user communication, incident handling and appropriate contracts. Be clear-eyed about this: GenAI Protection does not automatically establish POPIA compliance, and it does not replace legal advice. It is one strong pillar of a wider governance programme.
A managed service, not a one-time switch
A Soteria-enabled partner service can include:
- AI usage discovery and baseline reporting.
- Approved application and domain policy design.
- Sensitive-data and harmful-prompt control configuration.
- Exception handling, incident review and policy tuning.
- Executive reporting and safe-use enablement.
Start with evidence
The most productive first move is not a ban — it is a baseline. Use the first 30 days to discover actual AI use, define the approved-tool policy and agree the control and reporting model. From there, enforcement becomes a considered decision rather than a reaction.
Generative AI is not going away, and the organisations that win with it will be the ones that adopt it deliberately — protecting every prompt and governing every interaction. If you would like to see how this maps to your environment, ask AB about GenAI Protection.
Product capability, application coverage and licensing can change by release and service plan. Verify the current design before publication or contracting. This content is general information and not legal advice.
