Mitigating machine-scale cyber risks, governing agentic workflows, and co-engineering the next wave of industry standards
In June 2026, FINOS convened approximately 50 financial services executives, AI pioneers, regulators, security experts, and open source leaders to discuss the opportunities and challenges of deploying AI safely and cost effectively at enterprise scale. The discussion centered on three critical areas: tokenomics and AI cost management, cybersecurity, and agentic AI use cases in financial services.
Key priorities emerging from the Summit include:
Connecting AI consumption to business value, with stronger governance, measurement, and transparency around token and infrastructure costs.
Modernizing security for machine-speed threats, using automation to accelerate vulnerability discovery, remediation, and verification.
Building common standards for agentic AI, including identity, authorization, provenance, orchestration, and secure access to enterprise systems.
Turning institutional knowledge and regulatory requirements into machine-readable specifications that can safely guide autonomous systems.
Collaborating on shared AI infrastructure and governance through neutral open source forums, reducing duplicated investment while improving resilience and regulatory alignment.
Read the report for more on the challenges financial services leaders are confronting as AI moves into production, and the opportunities for the industry to co-engineer a secure, interoperable, and resilient foundation for AI in the industry
