Finzly embeds AI security layer into BankOS as attacks surge

Finzly's Assure product natively integrates AI-driven threat detection into its bank operating system as AI-enabled attacks on financial institutions rise 89% year

By Disrupts Editorial Team Mon, 14 September 2026 AI level 2 of 5

AI level 2 of 5: drafted by our AI editorial assistant from the company's announcement; fact-checked, edited and signed off by Mark Walker, Editorial Director. What the levels mean

A brightly lit, modern control room features a large curved video wall displaying glowing blue-green security shield icons and abstract network patterns above multiple white computer workstations and grey office chairs.

Finzly, the Charlotte-based banking modernisation platform, has launched Assure, an AI-powered security and continuous assurance layer built directly into BankOS, its cloud-native operating system for banks and credit unions. The move comes as autonomous AI agents increasingly target live financial production systems, and signals a broader shift in how fintech infrastructure vendors are repositioning from feature suppliers to security-embedded platform providers.

According to TrendAI's Modern Bank Heists 2026 report, AI-enabled attacks on financial institutions rose 89% year on year, with 67% of institutions reporting that adversaries actively worked to counter defenders during live incidents. Finzly's response is architectural: rather than layering a bolt-on security tool over existing infrastructure, Assure is woven natively into BankOS, covering operations, applications, compliance monitoring and development pipelines from a single, integrated position.

From payment rails to security fabric

BankOS was originally built as an ISO 20022-native payments hub, allowing mid-sized banks to run ACH, Fedwire, SWIFT, RTP and FedNow settlements across a single platform without dependency on legacy core systems. Assure extends that foundation into security, marking the latest expansion of the company's Agentic Galaxy AI suite, which launched in October 2025 to bring agentic capabilities to payment operations and banking workflows.

The product replaces point-in-time security reviews with continuous, automated monitoring, threat detection and compliance evidence gathering. A human remains in the loop at present, with Finzly indicating that fully automated responses are on the roadmap as the underlying models mature.

"Banking is entering a new era where attacks happen at machine speed, requiring that intelligence, innovation, and trust evolve together," said Booshan Rengachari, founder and CEO of Finzly. "We introduced Agentic Galaxy to transform banking operations with AI, and with Assure we are extending that intelligence into security and resilience."

The convergence read-across: cybersecurity meets financial infrastructure

The Finzly announcement reflects a convergence dynamic that investors and risk officers across multiple sectors should track. Banking infrastructure modernisation has historically been a slow-moving, compliance-heavy exercise. The emergence of AI-native adversaries accelerates that cycle dramatically: institutions that have not yet migrated from legacy cores now face a compounding risk, in that their security posture and their operational agility are both lagging simultaneously.

For capital allocators, the story sits at the intersection of cybersecurity spend and financial infrastructure retooling. Enterprise cybersecurity budgets at financial institutions have been climbing steeply, but the traditional model of point-solution procurement is under pressure from platform vendors like Finzly that argue for integrated, infrastructure-layer security. This mirrors a pattern already visible in cloud infrastructure, where hyperscalers absorbed security tooling that was previously a standalone market.

The macro angle is equally significant. Mid-sized US banks and credit unions, Finzly's stated customer base, represent a structurally underserved segment of financial infrastructure modernisation. Larger institutions have the balance sheets to fund custom security programmes; smaller ones increasingly rely on platform vendors to provide that capability by default. As regulators on both sides of the Atlantic tighten operational resilience requirements for financial institutions, the compliance-evidence-gathering function Assure promises becomes less a selling point and more a baseline expectation.

Whether Finzly can substantiate the 89% attack-surge figure in ways that translate directly to its specific customer cohort remains an open question. The TrendAI citation is a company-sourced reference, and the figure should be treated as indicative rather than independently verified. That said, the directional trend is consistent with reporting from established cybersecurity vendors across the financial services sector, and the product logic of continuous assurance over point-in-time audit is widely echoed in current regulatory guidance from bodies including the US Federal Financial Institutions Examination Council and the UK's Prudential Regulation Authority.

The next signal to watch is whether Finzly's embedded security model attracts attention from the larger core-banking platform vendors, for whom it represents either a competitive threat or an acquisition target as security becomes table stakes in financial infrastructure contracts.