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AI Security for Businesses: Operating AI Systems Safely, in Compliance with Regulations, and in a Trustworthy Manner

Artificial intelligence (AI) unlocks enormous potential for businesses. But it also introduces a new class of threats that traditional security mechanisms cannot mitigate. Prompt injection, data poisoning, model manipulation, data leakage from RAG workflows, and adversarial attacks are no longer hypothetical risks, but real attack vectors that are already endangering production AI systems today.
Our AI Security Consulting provides comprehensive protection for your AI systems. We analyze your AI architecture, identify vulnerabilities throughout the entire AI pipeline, conduct testing using real-world methods, and support the implementation of specific protective measures. All of this is integrated into your existing IT security, data governance, and regulatory requirements under the EU AI Act, GDPR, and DORA.

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Jonas Kuhlmann
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AI Security at a Glance

Our AI Security Experts

Jonas Kuhlmann

Senior Manager

Our AI Security Services: Comprehensive Protection Across the Entire AI Value Chain

Ventum Consulting provides comprehensive support to companies in securing their AI systems—from the initial risk analysis and technical hardening to regulatory compliance and continuous improvement.

We systematically analyze your AI architecture, models, pipelines, interfaces, and governance structures for vulnerabilities. The assessment includes threat modeling, compliance mapping against the EU AI Act, GDPR, and ISO 27001, as well as a prioritized risk assessment based on impact and effort. The result is a security report with clear recommendations for action, quick wins, and a roadmap for enterprise-secure scaling.

We offer two assessment formats: Quick AI Security Assessment and Deep AI Security Assessment.

We identify and prioritize the relevant attack vectors for your specific AI use cases and system architectures. We systematically map attack surfaces, assess threat scenarios, and prioritize protective measures based on risk and impact.

We simulate realistic attacks on your AI systems: prompt injection, jailbreaks, indirect injection attacks, adversarial inputs, and other AI-specific attack methods. The tests provide concrete evidence of existing vulnerabilities and lay the groundwork for targeted hardening measures.

We implement a multi-layered security strategy for your AI infrastructure. This includes, for example, content safety and moderation, prompt injection protection and policy enforcement, RAG hardening and source whitelists, API security, and employee awareness training.

We secure your training, validation, and inference data through pseudonymization, encryption, secure storage solutions, and data loss prevention. In RAG environments, we establish clear access controls and safeguards to ensure that confidential information does not inadvertently appear in model outputs.

We develop guidelines, roles, and processes for the safe use of AI and support the implementation of standards such as the EU AI Act, the GDPR, and DORA. Audit trails, documentation, and evidence management are designed to withstand regulatory audits.

We develop secure AI architectures with a focus on confidentiality, integrity, availability, and traceability. Hardening measures such as input-output guards, dual LLM designs for secure agent systems, and human-in-the-loop mechanisms ensure reliable operation.

We raise awareness among executives, developers, and business users about AI-specific risks and best practices. Field-tested training on attack scenarios, secure prompting, and the responsible use of AI helps embed AI security into the corporate culture.

We implement continuous monitoring of models, APIs, and workflows to detect suspicious activity early on. Recurring penetration tests, regression checks following model updates, and integration with existing solutions ensure long-term operational security.

The Benefits of AI Security Consulting with Ventum Consulting

Comprehensive Protection

AI security is integrated into IT security, data governance, and management with consistent controls and clear responsibilities.

Regulatory security

The EU AI Act, GDPR, DORA, and NIS2 were incorporated into the structure from the very beginning, rather than being added as an afterthought.

Designed to be scalable

Thoroughly planned from the pilot phase through to a company-wide rollout, spanning data, processes, and systems.

Measures with Immediate Effect

Quick wins, a clear roadmap, and documented controls for measurable security from day one.

Comprehensive Protection

Regulatory security

Designed to be scalable

Measures with Immediate Effect

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    FAQ - Frequently Asked Questions About AI Security Consulting

    AI Security protects AI systems from specific threats such as prompt injection, data poisoning, and adversarial attacks, which traditional security mechanisms cannot detect. At the same time, AI Security uses AI methods to detect and defend against cyber threats. Both must be considered together.

    Essentially, any AI system that interacts with external inputs, sensitive data, or critical processes. Of particular relevance are generative AI applications, RAG systems, AI agents, and high-risk AI systems as defined by the EU AI Act.

    Prompt injection is an attack technique in which manipulated inputs cause AI models to bypass security policies or perform unwanted actions. Mitigation measures include preprocessing filters, policy enforcement, input validation, and continuous monitoring.

    The EU AI Act, GDPR, DORA, NIS2, and standards such as ISO 42001 and ISO 27001 set specific requirements for the security, transparency, traceability, and governance of AI systems. We translate these requirements into actionable security measures.

    An AI Security Assessment analyzes your AI architecture, identifies vulnerabilities, and provides prioritized recommendations for action. We offer Quick Assessments that take one to two days and Deep Assessments that take three to ten days. Costs depend on the scope and complexity of the project. After an initial consultation, you will receive a transparent quote.

    At least once a year, as well as after significant changes to models, architectures, or compliance requirements. Continuous monitoring and regular penetration tests are best practices for production AI systems.

    AI Security complements and expands traditional IT security by adding AI-specific layers of protection. We seamlessly integrate AI Security into existing SIEM solutions, security operations, and governance structures, rather than creating parallel silos.

    Yes. Upon request, we can assist with the implementation of security measures, the setup of monitoring and audit trails, and the continuous improvement of your AI security until AI systems are demonstrably secure and compliant with regulations.

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