The client was looking to update its technology vision and technology strategy. With the growing adoption of AI technologies across industries, the client aimed to assess how organizations are addressing risks related to security, transparency, and governance of AI systems, particularly understanding the global outlook for the next five years.
The objective was to evaluate the current landscape of AI trust and security practices, tools, frameworks, and standards, and to identify key challenges, capability gaps, and areas of innovation.
10EQS gathered perspectives from both academia and key technology players, mapping technologies, frameworks, and regulations. The work identified key risks, adoption gaps, enterprise priorities, and white space opportunities, delivering strategic recommendations to support compliance, ecosystem collaboration, and innovation in AI assurance and governance.
The insights enabled the client to benchmark internal efforts & develop a roadmap for AI safety and policy engagement. The project uncovered gaps & emerging opportunities in areas such as red teaming coordination, real-time incident response, & cross-sector governance frameworks.
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