Artificial intelligence makes decisions
Artificial intelligence is fundamentally transforming businesses. It no longer merely supports processes, but influences decisions, prioritises information and is increasingly taking on tasks independently.
This raises a new question: can we trust the decisions made by our AI?
This is precisely where AI Assurance by scip comes in.
Why AI Assurance
AI Assurance is not a single service. It is a holistic consulting and assurance approach that helps organisations use artificial intelligence securely, transparently and responsibly. Our services support organisations throughout the entire lifecycle of an AI system, from the initial strategy, through architecture and governance, to ongoing monitoring during live operation.
AI systems are not just made up of models. They consist of data, architectures, identities, APIs, cloud platforms, agents, processes, governance and people. A system may be technically secure and yet still make decisions that are incomprehensible, inappropriate or unaccountable.
Trust is therefore not created by technology alone. It arises from the interplay of security, governance, quality, research and human responsibility.
Our understanding
Cybersecurity protects information.
Trustworthy AI sets out the principles.
AI Assurance makes trust verifiable.
AI Assurance is a distinct, interdisciplinary field. It combines cybersecurity, governance, quality management, research and human oversight to systematically build, verify and further develop trust in artificial intelligence.
Not a one-off.
But throughout the entire AI lifecycle.
The five dimensions
AI assurance by scip
Research
Trust begins with understanding. Since 2018, scip AG has been working on the quality, security and trustworthiness of artificial intelligence – including through the IAIQS approach.
Security
Trust requires security. AI systems must be protected across models, data, APIs, identities, agents and supply chains.
Governance
Trust requires responsibility. Roles, risks, responsibilities and decision-making processes must be clearly defined.
Quality
Trust is built on quality. Robustness, traceability, data quality, reproducibility and continuous improvement are crucial.
People
People remain at the heart of it all. AI supports decision-making. People set objectives, assess risks and take responsibility.
Our services
AI assurance by scip
AI Assurance Assessment
A structured approach to trustworthy artificial intelligence.
Many organisations are already using AI, but have only limited visibility into the associated risks, responsibilities and organisational requirements. Our AI Assurance Assessment evaluates the current maturity level of your AI initiatives and highlights areas where action is needed.
The result is a well-founded assessment of the trustworthiness of your AI systems, along with specific recommendations for sustainable improvement.
AI Architecture Review
A secure architecture is the foundation of any trustworthy AI.
We analyse the technical architecture of your AI solutions, from foundation models through to RAG systems and AI agents, right through to MCP integrations, cloud platforms, data flows, identities and APIs.
Our focus is on identifying risks at an early stage and designing architectures in such a way that security, scalability and trust are built into the design from the outset.
AI Red Team
Realistic attacks build trustworthy confidence.
Our specialists simulate real-world attacks on AI applications, agent systems, and AI-powered business processes. We examine current attack techniques such as Prompt Injection, Indirect Prompt Injection, Tool Abuse, Memory Poisoning, RAG Poisoning, or Model Manipulation.
The insights gained enable us to identify vulnerabilities early and sustainably enhance the resilience of your AI solutions.
AI Governance Review
Accountability builds trust.
Technology alone is not enough. Successful AI deployment requires clear lines of responsibility, transparent decision-making processes and a defined approach to risk management.
We support organisations in establishing a robust AI governance framework, ranging from role models and guidelines to human oversight and the integration of regulatory requirements into existing governance structures.
Trustworthy AI Assessment
AI decisions are validated.
Based on our Trustworthy AI Framework, we carry out a holistic analysis of your AI solutions across the dimensions of research, security, governance, quality and people. In doing so, we consider not only technical aspects, but also organisational processes, responsibilities and the trustworthiness of AI-supported decisions.
The result is a well-founded assessment of the trustworthiness of your AI systems, along with concrete recommendations for sustainable improvement.
Decision Security Review
Not every secure AI makes trustworthy decisions.
Cybersecurity protects information. Decision Security examines the quality and trustworthiness of AI-driven decisions. Together, we analyse the data on which decisions are based, how traceable they are, and what risks this poses to your organisation.
This creates transparency as to whether an AI can be trusted not only from a technical perspective, but also from a business and organisational standpoint.
AI Strategy & Adoption
Establishing AI successfully and responsibly within your organisation.
The successful deployment of artificial intelligence does not begin with a model, but with a clear strategy. Together, we develop an AI roadmap, evaluate use cases, define responsibilities and create the organisational conditions necessary for a sustainable roll-out.
Our aim is not merely to implement AI from a technical perspective, but to integrate it into your business processes in a way that inspires long-term trust.
Continuous AI Assurance
Business-critical AI integration can be used with confidence, both now and in the future.
AI systems are constantly evolving. Models are updated, data sources expanded and new agents or functions integrated. That is why we view AI assurance as an ongoing process.
Through regular reviews, technical assessments and strategic governance reviews, we support your AI landscape throughout its entire lifecycle and ensure that trust is maintained in the long term.
Holistic experts
scip AG combines over twenty years experience in cybersecurity with independent research, offensive security, red teaming, governance consultancy and a consistently people-centred approach to technology. We do not sell products. We provide guidance, security and trust.
scip AG was founded on the belief that entrepreneurship and innovation cannot be sustainable without security.
With this fundamental and customer-oriented goal in mind, we comprehensively review and optimize your security. We show you how to stay one step ahead of digital attackers with offensive, defensive, and innovative techniques.
Our interdisciplinary and interprofessional teams advise companies from all industries worldwide. With a long-term, self-financed corporate strategy, we maintain business flexibility and independence. Thanks to continuous research, we always offer up-to-date and well-founded expertise. We publish this knowledge in trade magazines, blogs, and books.
AI is changing decision-making
Trust is key to your success. Let’s talk about it.
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Urgent
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