In the AI Era, Banks Use the Network for Unified Security Control
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AI-assisted source synthesis · not an independent investigation.
On October 12, 2026, Banking Dive reported that as AI enters the banking industry, cybersecurity and visibility need to be integrated into all layers of the network, with the network centrally controlling ATMs, Internet of Things devices, and AI agents. Citing a survey, the report said that 79% of financial services respondents believe AI has expanded the cyberattack surface, and 85% have added security controls for AI workloads; however, decentralized tools still struggle to meet the needs of real-time protection and compliance audits. The report proposed integrating traffic inspection, security policies, and network telemetry into the network, controlling the actions of devices and agents through microsegmentation and individual API calls, and creating real-time audit trails.
AI-written from reports · updated 7 days ago
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- Banking DiveBanking in the AI Era: Networks Become the New Enforcers of Trust
In the AI era, banks should embed security and visibility across every layer of the network, enabling the network to centrally control ATMs, IoT devices, and AI agents. 79% of financial services respondents say AI has expanded the attack surface, while 85% have already added security controls for AI workloads; fragmented tools still struggle to meet the demands of real-time protection and compliance audits. Embedding traffic inspection, security policies, and network telemetry into the network enables control over the actions of devices and agents through microsegmentation and individual API calls, while creating a real-time audit trail.
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