{{Running AI securely and by the rules}}
We protect your AI applications against misuse, data leakage and emerging threats and align them with regulatory requirements. You use AI with confidence, because security and traceability remain assured at all times.
Running AI securely and by the rules
We protect your AI applications against misuse and data leakage and align them with regulatory {{requirements}}.
Threat defence
We protect AI applications against attack and manipulation.
Prompt injection, jailbreak protection, OWASP LLM Top 10, input filters
Data protection
We stop sensitive data from leaking into AI systems.
DLP, data classification, anonymisation, Purview, data residency
Access control
Only authorised users and services reach AI capabilities and data.
Entra ID, RBAC, least privilege, API keys, conditional access
Regulation
We align AI use with requirements such as the EU AI Act.
EU AI Act, GDPR, risk classification, documentation duties
Traceability
AI decisions and access stay logged and open to inspection.
Audit logs, prompt logging, monitoring, traceability, reporting
Model security
We secure models, interfaces and data across the life cycle.
Model governance, guardrails, output filters, secrets management, red teaming
Securing AI in five steps
Analysis
We capture AI applications, data flows and risks.
Analysis
We look at how inputs, outputs and data access of your AI applications work and build a threat model against references such as the OWASP LLM Top 10. We deliberately identify data worth protecting and critical access.
You receive a solid risk picture of where your AI use is vulnerable. From it we derive the fitting compliance framework in the next step.
Governance
We align AI use with regulatory requirements.
Governance
We map your AI applications to the governance and compliance requirements that apply, for instance with reference to the EU AI Act and GDPR, and set up risk classification and documentation duties. Responsibilities and review steps we agree with your business and legal owners.
You receive a solid framework on which a formal assessment can build. This framework determines which controls are implemented in the next step.
Safeguarding
We implement protective measures and access controls.
Safeguarding
We set up access control through Entra ID, RBAC and least privilege and limit data leakage with DLP, data classification and Purview. Against attack we protect with input filters, guardrails and output filters.
Your AI applications work under control and within bounds that can be checked. The active controls form the basis for ongoing monitoring.
Monitoring
We log access and make usage open to inspection.
Monitoring
We set up audit logs, prompt logging and monitoring, so it stays traceable who uses the AI for what and how data is handled. Scope and form we agree with your owners.
You receive a solid basis for internal control and for evidence towards auditors. The logs feed the continuous control in operation.
Operation
We control, test and develop the safeguards onward.
Operation
We watch the safeguards continuously, examine models and interfaces through model governance, secrets management and red teaming and respond to new threats. Changes to applications we accompany safely.
Your AI use stays secure, open to inspection and fitting for your environment. Findings from operation and testing flow continuously back into the safeguarding.
Why {{thinformatics}}
AI-specific risks
We know prompt injection, data leakage and model misuse.
Data protection upheld
Sensitive data stays protected in AI processes too.
EU AI Act met
Risk classification and transparency duties are covered.
Guardrails that work
Content controls keep AI output on safe tracks.
Traceable
Logging and oversight make the use open to inspection.
Confidence, not worry
You use AI with assurance instead of misgivings.
FAQ
Answers to the questions we are asked most often about safeguarding AI applications.
Run AI securely and by the rules
We talk about threats, data protection and the EU AI Act for the way you run AI.

