AI Security Risk Self-Assessment

Every company and every AI implementation is unique. With our self-assessment, you can find out which AI risks are particularly relevant for your company.

In a world where artificial intelligence is increasingly shaping our daily lives and business processes, it is essential to effectively secure the use of AI. Without adequate safeguards, sensitive data, ethical standards and compliance are jeopardised - posing not only financial, but also legal and reputational risks. Secure AI usage guarantees trust, minimises risks and enables responsible innovation - crucial to remaining competitive in the long term.

AI on the rise - Cyber security lagging behind

of companies are already using generative AI in critical business processes.

According to Forrester

of companies with AI systems have already reported security breaches.

according to Gartner

of companies are actively working to mitigate AI risk.

according to McKinsey & Company

The rapid development of AI offers enormous opportunities, but also harbours risks. One of the biggest challenges is the secure implementation of AI without creating new security risks or vulnerabilities. It is particularly important to protect sensitive data and prevent cyberattacks and unwanted AI manipulation.

Building blocks of AI safety in the company

This overview shows key areas of action for the safe and responsible use of artificial intelligence.

AI security governance

Companies must comply with regulatory and industry-specific requirements in relation to AI security, e.g. EU AI Act

AI security frameworks & best practices

The catalogue of measures to safeguard against AI security risks, which is individualised for companies and based on experience and best practices, is research-based and geared towards leading experts

Core components

In addition to the familiar code, infrastructure and application components, AI introduces additional challenges through data, training and model development. In order to assess the specific risks of AI development in a well-founded manner, the interaction of these components in particular must be taken into account.

People, processes and technology

People, processes and technologies must be considered in all dimensions of the holistic AI security approach, e.g. in relation to the safe handling of tools, effects for those responsible for tools, quality processes

Understanding AI safety and implementing it with TRUSTEQ

This self-assessment serves exclusively as an initial, superficial assessment of potential AI risks in your company. The questions are deliberately kept at a high level and do not replace a detailed risk analysis or professional advice. The aim is to create an initial awareness of possible areas for action.

Our aim is to identify potential security risks, define clear protective measures and ensure compliance with regulatory requirements.

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