Secure & Modernize Banking & FinTech Networks with AI
Future-proof your banking networks with AI-driven security, compliance automation, and vendor-neutral infrastructure for digital finance.
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Securing, Modernizing, and Future-Proofing Banking & Fintech Networks
Banks and financial technology companies now operate as much like technology companies as financial institutions.
Mobile-first transactions, real-time payments, partner integrations, and ever-tightening regulations have made networks more critical — and more scrutinized — than ever before.
The push for AI-driven services, compliance-heavy operations, and sovereign data mandates means network strategies must be secure, compliant, and future-proof without creating unpredictable budget spikes.
Do These Questions Look Familiar?
1
How can I get packet-, application-, and session-level observability to meet security, compliance, and SLA requirements — without blind spots or fragmented tools?
2
How can I automate continuous audit requirements and golden configuration checks using AI to save time, ensure compliance, and reduce manual effort?
3
How do I introduce private, on-prem AI into my network operations while meeting strict security and compliance mandates?
4
How can I simplify frequent upgrades prompted by new CVEs or regulatory changes while maintaining service quality?
5
How do I expand and standardize my network for sovereign data centers and future bandwidth growth without locking into one vendor?
Banking & Fintech Challenges — and How Aviz Solves Them
Challenge
Aviz Solution
Heavy compliance and audit cycles require constant reporting, verification, and remediation, often done manually.
Network Copilot™ automates compliance reporting, golden configuration checks, and audit logs — all in a 100% private, on-prem AI environment.
Fragmented monitoring tools create visibility gaps at the packet, application, and session level, making it harder to verify compliance and performance.
Software-defined packet broker + Service Analytics Nodes deliver unified observability with up to 80% savings in footprint, power, and cooling — and up to 50% TCO reduction.
Frequent network upgrades triggered by CVEs or compliance updates require heavy manual validation and risk downtime.
Automated post-upgrade verification workflows ensure faster, safer rollouts — reducing MTTR and freeing staff from repetitive checks.
Data sovereignty requirements in multiple countries demand new data center builds, often with costly proprietary stacks.
SONiC-based, vendor-neutral networking supports compliant OEM hardware, decoupling software from hardware to avoid vendor lock-in.
AI adoption is slowed by compliance and data privacy concerns.
Aviz AI stack supports private, programmable AI agents to securely connect with diverse data sources and legacy systems — no internet required.
Aviz Networking Stack is designed for institutions that prioritize:
- Security — fully private, on-premise deployments.
- Compliance — audit-ready observability and AI-assisted governance.
- Data Privacy — no data leaves your environment.
- Future-Proofing — open, vendor-neutral architecture to avoid lock-in.
Ready to see Aviz in action?
Resources Hub
SONiC
Open-source network operating system for cloud, enterprise, and edge, enabling disaggregation and rapid innovation.
FTAS
Flexible Test Automation Suite (FTAS) for automated network validation, regression, and performance testing across multi-vendor environments.
ONES
Open Network Enterprise Suite (ONES) for unified network management, monitoring, and automation across diverse hardware and software platforms.
Open Packet Broker (OPB)
A high-performance, white box traffic management fabric capable of traffic filtering, replication, aggregation, slicing, labeling, and tunneling.
Aviz Service Node (ASN)
A X86-based software appliance performing Deep Packet Inspection (DPI) for application identification, metadata extraction, and deduplication.
Network Copilot™
AI-powered network analytics and observability platform for proactive monitoring, troubleshooting, and optimization.