AI Governance: Balancing Innovation and Oversight

Riskonnect Launches AI Governance Capabilities for the Next Era of Risk

On June 26, 2025, Riskonnect, a leader in integrated risk management (IRM) solutions, announced the launch of its AI Governance solution. This innovative offering is designed to help organizations responsibly harness artificial intelligence (AI) while balancing innovation with oversight, compliance, and control.

The Need for AI Governance

As the adoption of AI technologies accelerates, organizations are under increasing pressure to ensure the ethical, transparent, and responsible use of AI tools. The new AI Governance solution from Riskonnect is tailored to meet these challenges, providing a structured methodology that allows organizations to leverage AI safely and in compliance with relevant regulations.

Key Features of the AI Governance Solution

Riskonnect’s AI Governance solution offers several key capabilities:

  • Stay ahead of new and evolving AI regulations: Organizations can apply preloaded compliance frameworks and standards such as the EU AI Act, GDPR, ISO 42001, and NIST AI RMF, utilizing adaptive compliance workflows.
  • Customize and enforce AI policies: The solution allows organizations to tailor governance frameworks to align with industry-specific risks, organizational needs, and external requirements.
  • Run automated audits: This feature ensures accountability across AI systems by maintaining a record of AI decisions and actions, which is crucial for transparency and compliance.
  • Monitor AI risk and ethics: Organizations can detect bias, model drift, and anomalies early, track performance trends, and score AI risk to enable timely mitigation and reliable governance.
  • Track AI usage requests: The system promotes responsible innovation through prebuilt approval workflows.

Integrating AI Governance into Risk Management

Riskonnect integrates AI governance directly into its Governance, Risk & Compliance platform, providing a centralized method for departments to manage AI use across the organization. Given that AI risk is a cross-functional issue, the solution encourages collaboration among various teams, including risk, legal, IT, and the broader business.

This integration allows organizations to manage AI risks alongside other critical areas such as cybersecurity, third-party risk, operational risk, and compliance risk, all as part of a unified risk management strategy.

The Importance of Responsible AI Governance

According to Kathryn Carlson, the chief product officer at Riskonnect, “AI has the power to unlock extraordinary value, but only if it’s governed with intention and integrity.” The new AI governance capabilities are designed to help organizations transform uncertainty into opportunity by embedding responsible AI oversight into their risk strategy. This approach is centered around enabling innovation in a safe, ethical, and transparent manner.

By democratizing responsible AI oversight, Riskonnect makes AI risk management accessible to non-technical teams while satisfying the needs of technical, regulatory, and executive stakeholders.

Conclusion: A Strategic Imperative

AI governance is emerging as a critical challenge for organizations, similar to how cybersecurity became a board-level issue in the past decade. The introduction of Riskonnect’s AI Governance solution lays the groundwork for not just compliance, but for scalable and responsible AI use that supports broader business goals.

As organizations move forward in an AI-driven world, the ability to manage risk while fostering innovation becomes not just a necessity, but a strategic imperative.

More Insights

Enhancing AI Safety through Responsible Alignment

The post discusses the development of phi-3-mini in alignment with Microsoft's responsible AI principles, focusing on safety measures such as post-training safety alignment and red-teaming. It...

Mastering Sovereign AI Clouds in Intelligent Manufacturing

Sovereign AI clouds provide essential control and compliance for manufacturers, ensuring that their proprietary data remains secure and localized. As the demand for AI-driven solutions grows, managed...

Empowering Ethical AI in Scotland

The Scottish AI Alliance has released its 2024/2025 Impact Report, showcasing significant progress in promoting ethical and inclusive artificial intelligence across Scotland. The report highlights...

EU AI Act: Embrace Compliance and Prepare for Change

The recent announcement from the EU Commission confirming that there will be no delay to the EU AI Act has sparked significant reactions, with many claiming both failure and victory. Companies are...

Exploring Trustworthiness in Large Language Models Under the EU AI Act

This systematic mapping study evaluates the trustworthiness of large language models (LLMs) in the context of the EU AI Act, highlighting their capabilities and the challenges they face. The research...

EU AI Act Faces Growing Calls for Delay Amid Industry Concerns

The EU has rejected calls for a pause in the implementation of the AI Act, maintaining its original timeline despite pressure from various companies and countries. Swedish Prime Minister Ulf...

Tightening AI Controls: Impacts on Tech Stocks and Data Centers

The Trump administration is preparing to introduce new restrictions on AI chip exports to Malaysia and Thailand to prevent advanced processors from reaching China. These regulations could create...

AI and Data Governance: Building a Trustworthy Future

AI governance and data governance are critical for ensuring ethical and reliable AI solutions in modern enterprises. These frameworks help organizations manage data quality, transparency, and...

BRICS Calls for UN Leadership in AI Regulation

In a significant move, BRICS nations have urged the United Nations to take the lead in establishing global regulations for artificial intelligence (AI). This initiative highlights the growing...