According to Forrester Research, 76% of enterprises are on the AI adoption curve, signaling a solid drive toward operationalizing AI within their organizations. However, operationalization is just one phase of the journey.
As the business landscape transforms, particularly with the rise of AI technologies, pinpointing AI-related hazards becomes increasingly important. By spotlighting these hazards through risk identification, organizations can make decisions that insulate them from unexpected challenges.
Given the convergence of technology, regulatory standards, and diverse business strategies, organizations need to effectively handle the complexities of risk identification, especially when each facet offers its specific hurdles.
Evolving Technological Landscape. Each advancement in AI and machine learning technologies brings about new challenges. Every innovation introduces potential risks.
Proliferating Regulatory Standards. Navigating the regulatory maze becomes even harder for global businesses with varied new rules cropping up across regions and industries.
Diverse Technical Approaches. With so many AI tools and methodologies, it's tough for enterprises to adopt a standardized approach.
Multiple Policy Considerations. It's challenging for businesses to pinpoint which policies affect specific departments or projects, risking potential oversights.
Ensuring Compliance. Matching AI models and datasets with the vast regulatory landscape is challenging, but compliance is non-negotiable.
Given the challenges, even a single misstep can lead to considerable financial, reputational, or operational setbacks. As testament to its escalating significance, a quarter of tech leaders are gearing up to present AI governance matters to their board, positioning it alongside vital board-level discussions on cybersecurity and compliance.
Furthermore, Forrester's data reveals that 46% of data and analytics business and technology decision-makers are actively seeking partners to implement AI crucial to their operations. These board reporting responsibilities are expanding to cover the intricacies of AI deployment and the explainability and fairness audits of impactful algorithmic decision-making.
Konfer's AI Governance Suite is a comprehensive solution that equips businesses with the tools to confidently navigate AI governance's unpredictable terrain.
Gives you an overhead view of all your AI assets, identifying asset interdependencies.
No more vague directives. Instead, you get concrete steps, steering you toward compliance directives derived from your organization’s AI policies and best practices, and from national/local AI regulations.
Get a real-time summary of your Konfer Confidence Factor scores in your AI Posture Dashboard.
Automatically score users’ actions and perform rapid root-cause analyses and identify mitigation steps.
It's future-ready. Konfer's suite is compatible with various AI and ML platforms, and supports multiple AI regulations including the EU AI Act, NIST AI RMF, US Federal Letter SR 11-7 and more.
The Konfer AI Governance Suite offers many advantages tailored to various organizational teams.
It allows legal teams to simplify legal frameworks and streamline risk management processes.
Compliance teams can move past traditional manual risk logs, benefiting from real-time insights that pave the way for prompt actions.
Development teams will appreciate Konfer AI Governance Suite's seamless integration capabilities, ensuring heightened productivity without compromising compliance.
Lastly, leadership and decision-makers can now be equipped with the necessary information, keeping them abreast of their organization's AI risk landscape and enabling more informed decision-making.
Ready to transform your AI challenges into growth opportunities? Take our 6 Weeks to AI Governance journey and start today.