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AI Governance Gap Exposed: 97% of Treasury Framework Lacks Prevention for Autonomous Agents

VectorCertain's analysis reveals 97% of the Treasury's AI risk framework lacks prevention for autonomous agents, exposing a $40B fraud threat. Their platform unifies cybersecurity and AI governance.

This news reveals a fundamental flaw in current AI governance frameworks that leaves the global financial system vulnerable to high-speed, autonomous AI agents. As these agents become ubiquitous—deployed by major corporations like Visa, Mastercard, and Google—the absence of prevention mechanisms means financial institutions are relying on detect-and-respond systems that cannot keep pace with millisecond-speed transactions. This gap exposes consumers and businesses to unprecedented risks, including AI-enabled fraud projected to cost $40 billion by 2027, with broader economic impacts reaching $230 billion. For individuals, this could mean increased financial losses, identity theft, and eroded trust in digital payments. For businesses, it translates to higher compliance costs, potential regulatory penalties, and operational disruptions. VectorCertain's solution offers a proactive approach that could mitigate these risks by enabling governance on existing hardware, potentially saving millions per security incident and safeguarding the integrity of financial systems worldwide.