ART25 Consulting

Across organisations, public institutions, and AI-driven startups and scale-ups, we address AI risk from a holistic GRC perspective. Our approach brings together technology, risk, security, and compliance into a unified model that strengthens trust, accountability, and long-term resilience.

Working closely with DPOs, CIOs, CROs, CISOs, CFOs, and CEOs across the lines of defense.

Artificial Intelligence is rapidly reshaping markets, decision-making, cybersecurity, and societal resilience.

Recent discussions within the Swedish AI ecosystem, including AI Sweden, together with findings from the National Board of Trade Sweden and ENISA, highlight growing concerns around collective AI-related risks, increasingly sophisticated cyber threats, interconnected supplier dependencies, and the accelerating gap between technological capability and organizational preparedness.

At the same time, rapidly evolving frontier AI systems are introducing new operational, governance, and security challenges across both the public and private sectors.

Our position is clear.

There is an urgent need to strengthen organizational resilience, governance maturity, and practical cross-domain risk oversight capabilities. This requires integrated approaches across AI governance, cybersecurity, privacy, supplier governance, operational risk, and compliance, embedded directly into real operational environments rather than treated as isolated functions.

Reference AI Sweden — AI and Resilience

Reference National Board of Trade Sweden — AI Governance and Collective Risks

Reference ENISA Threat Landscape 2025

Regulatory frameworks and traditional GRC models remain too static to address the scale, speed, and interconnected nature of AI risk in practice. While frameworks such as the EU AI Act set important direction, they are still evolving, with gaps in enforcement and limitations in addressing real-world complexity.

At the same time, most organisations operate in silos. Risk is fragmented across data protection, cybersecurity, third-party risk, intellectual property, people and culture, and operational functions, with limited coordination across the lines of defense. This results in weak visibility, inconsistent controls, and a lack of structured supplier governance, where organisations often do not know what to assess, challenge, or require from their vendors.

The result is a governance gap. Not because frameworks do not exist, but because they are not designed to operate across domains, at scale, or in real time.

We bring deep experience from critical infrastructure environments, including work shaped by the Swedish Protective Security Act, combined with the design and delivery of GRC technology and SaaS solutions in complex, high-risk settings.

Our approach is grounded in execution. We build governance models and supporting systems that are credible, scalable, and aligned with how organisations actually operate.

We combine AI governance expertise with strong capabilities in AI development, enabling us to identify, assess, and address risks at their source. This includes the use of advanced AI techniques to monitor, analyse, and respond to evolving threats, particularly in environments where autonomous and agentic systems are emerging.

The result is governance that is not only structured, but intelligent, adaptive, and built to hold in practice.

We connect legal, policy, technical, AI, and GRC perspectives into a single, coherent approach to governance. This ensures that risk is not managed in isolation, but across systems, suppliers, and decision-making environments.

Our focus is on execution. We embed governance and agentic AI-enabled GRC technology into systems, processes, and organisational structures, enabling organisations to manage AI risk in real time across the lines of defense, from strategic oversight to operational control.

In parallel, we contribute to advancing the broader AI governance ecosystem, supporting initiatives that strengthen practices across Sweden, Europe, and beyond.