ART25 Consulting
About ART25 Consulting
We operate at the intersection of AI, technology, governance, data protection, and digital risk.
Our work focuses on identifying, understanding, and managing AI risk across systems, suppliers, and decision-making environments. We address emerging and novel AI risks beyond compliance, embedding them into GRC models that reflect real operational complexity.
We bridge strategy and execution, ensuring governance frameworks are both strategically sound and practical across the lines of defense. We turn ambiguity into structured, actionable guidance.
The result is governance that works in practice, not just on paper.
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 reshaping markets, information flows, and competitive dynamics. While the EU has established a comprehensive regulatory framework, including the EU AI Act, its focus remains largely on technical risk, identifiable individual harm, and illegal content. This leaves a critical gap.
The study shows that AI-driven risks increasingly fall outside traditional legal categories, emerging cumulatively through scale and interconnected systems, with significant impacts on markets, institutions, and economic stability. It identifies four interrelated dimensions of risk:
- Informational risks affecting the integrity of information environments and the distribution of reliable knowledge.
- Cognitive risks shaping how individuals perceive, interpret, and evaluate information over time.
- Behavioural risks influencing user choices and actions through design and optimisation mechanisms.
- Cumulative societal risks that, at scale, create structural impacts on markets, competition, and trade.
At the same time, the threat landscape is accelerating. ENISA highlights a significant increase in cyberattacks in both volume and sophistication, with AI amplifying attack capabilities and success rates.
Reference National Board of Trade Sweden — Collective Societal Risks in AI Governance
Reference ENISA Threat Landscape 2025
Our position is clear. AI governance must move beyond compliance. It must address collective, cross-domain risk — practical, adaptive, and embedded into real operational environments.
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.
AI is moving faster than governance. The question is whether your organisation is keeping up.
Mission, Vision & Values
Mission
Advancing digital sovereignty and societal readiness through future-proof data protection and responsible governance of artificial intelligence and emerging technologies.
Vision
Our vision is to shape a trusted digital future where artificial intelligence and emerging technologies serve the public good, reinforce democratic values, and empower nations to govern data with sovereignty, security, and accountability.
A chain is only as weak as its weakest link.
We work across the European ecosystem and beyond to strengthen collective resilience and address AI risk as a shared responsibility.
Positivity
Operate with a constructive mindset in a complex world, focusing on the positive impact AI can create while addressing its risks with clarity and responsibility.
Knowledge Sharing
Share knowledge and best practices across industry peers, contributing to a more aligned ecosystem where organisations learn from each other rather than operate in isolation.
Collaboration
Collaborate across industries, disciplines, and sectors, bringing together organisations, regulators, experts, and the creative community to address AI risk at scale across Europe and beyond.
Freedom
Act with independence and integrity, challenging assumptions and making decisions based on risk, not convenience or pressure.
Responsibility
Take ownership of real-world impact, ensuring that governance is not only designed, but applied, monitored, and continuously improved.
Social Engagement
Actively engage across all layers of society, from public figures and media to institutions and experts, recognising that awareness of AI risk remains a critical gap in interconnected environments.
The name Art25
Refers to Article 25 of the General Data Protection Regulation: Privacy by Design and by Default.
The principle requires that privacy, security, and accountability are embedded from the outset, at the stage of ideation, system design, and throughout operational governance. This includes continuous monitoring, structured risk management, and meaningful human oversight across the lifecycle of AI systems.
As algorithms increasingly influence public opinion and beliefs, national safety and security, access to services, and automated decision-making, they shape power, opportunity, and rights at scale.
Without effective governance, sustained oversight, and clear accountability, this unprecedented technological reality risks undermining trust, weakening democratic values, and eroding fundamental rights.