The 5 Biggest Risks of Uncontrolled AI
Data Leak via AI
Sensitive data is inadvertently transferred to cloud providers or third parties.
No Traceability
AI decisions are not traceable – a problem for audits and regulators.
Uncontrolled Access
Employees use AI tools outside the IT infrastructure, uncontrolled and insecure.
Legal Liability
Without a governance framework the company bears full liability for AI-driven misjudgements.
Vendor Lock-in
Dependency on a single cloud provider with no option for local data storage.
The Wito AI Security Framework
Audit Trails
Every action of every agent is logged – tamper-proof, manipulation-resistant and compliant.
Role-Based Access
Granular permissions: Who may use which agent and how? Fully configurable.
Local Data Storage
No data transfer to the cloud. All data remains on your infrastructure.
Guardrails & Policies
Rule-based restrictions automatically prevent unwanted behaviour.
GDPR Documentation
Automatic generation of data protection documentation for your supervisory authority.
Continuous Monitoring
Real-time monitoring of all agent activities with anomaly detection.
Security Questions
How do I prevent AI agents from accessing unauthorised data?
Through role-based access control (RBAC) and guardrails in NemoClaw. Each agent receives only the permissions it needs for its specific use case.
Can I trace what an AI agent has decided?
Yes. NemoClaw logs every reasoning step, every tool usage and every decision in full – in a format readable by non-technical staff as well.
What happens if an agent makes a mistake?
Guardrails stop critical actions automatically. All errors are logged and can be analysed. Wito AI implements human-in-the-loop mechanisms for critical processes.
Is local AI truly more secure than cloud AI?
For sensitive data: yes. With local AI your data never leaves your infrastructure. Cloud AI often offers more computing power but less data control.
Related Topics
More AI Agent Articles
Deepen your AI agent knowledge
