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thinformatics
AI SECURITY & COMPLIANCE

{{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.

ESPECIALLY SUITED FOR
CISO
AI Security
EU AI Act
Data protection
Guardrails
Purview
AI Security
Secured
Guardrails
Active
Data protection
Upheld
EU AI Act
Met
Guardrails
on AI output
EU AI Act
Compliant
Oversight
Traceable
THE SERVICE

Running AI securely and by the rules

We protect your AI applications against misuse and data leakage and align them with regulatory {{requirements}}.

General
Deep dive
1

Threat defence

We protect AI applications against attack and manipulation.

Prompt injection, jailbreak protection, OWASP LLM Top 10, input filters

2

Data protection

We stop sensitive data from leaking into AI systems.

DLP, data classification, anonymisation, Purview, data residency

3

Access control

Only authorised users and services reach AI capabilities and data.

Entra ID, RBAC, least privilege, API keys, conditional access

4

Regulation

We align AI use with requirements such as the EU AI Act.

EU AI Act, GDPR, risk classification, documentation duties

5

Traceability

AI decisions and access stay logged and open to inspection.

Audit logs, prompt logging, monitoring, traceability, reporting

6

Model security

We secure models, interfaces and data across the life cycle.

Model governance, guardrails, output filters, secrets management, red teaming

OUR APPROACH

Securing AI in five steps

1

Analysis

We capture AI applications, data flows and risks.

1

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.

Risk analysis
Threat model
Data flow analysis
Protection requirements
2

Governance

We align AI use with regulatory requirements.

2

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.

Compliance framework
Risk classification
Role assignment
Documentation base
3

Safeguarding

We implement protective measures and access controls.

3

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.

Access control
DLP controls
Guardrails
Input filters
4

Monitoring

We log access and make usage open to inspection.

4

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.

Audit logs
Prompt logging
Security monitoring
Provability
5

Operation

We control, test and develop the safeguards onward.

5

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.

Ongoing control
Red teaming
Model governance
Threat defence
YOUR BENEFITS

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.

Frequently asked {{questions}}

FAQ

Answers to the questions we are asked most often about safeguarding AI applications.

What does safeguarding AI applications protect against?
The safeguarding protects your AI applications against misuse, unauthorised access, the leakage of sensitive data and the new kinds of threat that come with using AI. To that end we look at how the application's inputs, outputs and data access work and where the risks sit. On that basis we set up protective measures that suit your environment. That lets you use AI with confidence, because the application works under control and information worth protecting stays dependably secured.
How do we prevent sensitive data from leaking?
We limit the leakage of sensitive data by governing access explicitly and making the AI application's data processing traceable. We look at which information enters the application, how it is processed and where outputs go. On that basis we set up permissions, filters and control points that suit your protection needs. Handling confidential content therefore stays manageable, and AI is used within bounds that are defined and open to checking.
How do we establish traceability in the use of AI?
Traceability comes from transparent rules, documented access and suitable logging of usage. That makes it possible to show robustly who uses the AI application for what and how data is handled. This transparency is the basis for internal control and for evidence towards auditors. The scope and form of the logging we agree with your owners, so control and data protection stay in balance and the use is open to inspection at any time.
How does alignment with regulatory requirements succeed?
The alignment can succeed by orienting your AI applications to the governance and compliance requirements that apply to you and anchoring fitting controls. We arrange responsibilities, review steps and protective measures so they suit your requirements. Concrete regulatory requirements we examine individually in each context, without giving guarantees or legal advice. That builds a solid basis on which a formal assessment by your business and legal owners can rest.
How does the safeguarding fit into existing AI applications and routines?
We build on your existing AI applications and security structures and connect protective measures through existing interfaces, without changing the landscape needlessly. Ownership, control points and reports we agree with your security and compliance owners, so safeguarding and internal processes mesh. Which data is processed and who reaches it we establish transparently. That keeps the use of AI secure, open to inspection and fitting for your environment.
CONTACT

Run AI securely and by the rules

We talk about threats, data protection and the EU AI Act for the way you run AI.

Thank you for your enquiry. We will get back to you personally shortly.
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