AI security in vulnerability management

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Artificial intelligence is not only transforming products and processes, but also the IT security toolbox. Modern vulnerability management platforms such as Rapid7, Tenable, and Qualys are beginning to integrate functions for the secure handling of AI models—especially large language models (LLMs). This makes it possible to identify and assess potential vulnerabilities in the use, connection, or configuration of LLMs.

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As a partner of leading providers in the field of vulnerability management, we combine these new features with our experience in traditional security assessments and AI penetration tests. This creates a holistic view of risks in the use of intelligent systems – from insecure prompt designs to incorrect permission assignment in AI API integration.

We support the selection, configuration, and integration of vulnerability scanners that support LLM analysis – and build on this by setting up our own testing processes, for example for:

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• Automated testing for unsafe LLM interactions

• Policy-based risk assessment for generative systems

• Logging, monitoring and anomaly detection when dealing with generative AI

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In this way, we create a secure basis for the productive use of AI – even in complex, regulated or highly networked environments.

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