Industries We Serve
GLBA, SOX, PCI DSS, NY DFS 500, and SEC cybersecurity disclosure rules create overlapping compliance obligations — while ransomware actors and BEC fraud schemes specifically target the transaction volumes and high-value data that define the sector.
The Risk Landscape
Financial services organizations sit at the intersection of the most aggressive threat actors and the most active regulatory environment in enterprise security. Customer financial records, transaction histories, and account credentials are among the most monetizable stolen data — which makes financial institutions consistent top targets for ransomware, account takeover, and BEC fraud operations.
At the same time, GLBA, SOX, PCI DSS, NY DFS Cybersecurity Regulation Part 500, and the SEC's cybersecurity disclosure rules create a compliance environment where the cost of demonstrated non-compliance — through exam findings, enforcement actions, or post-breach regulatory scrutiny — consistently exceeds the cost of building compliant controls before an incident. The gap between "we have policies" and "our controls work as written" is where most regulatory findings originate.
average cost of a data breach in 2024 — financial services organizations consistently record among the highest per-record costs due to regulatory notification obligations and the sensitivity of customer financial data. IBM Cost of a Data Breach Report 2024
in losses reported to the FBI from Business Email Compromise in 2023 — financial services and real estate organizations are the most frequently targeted sectors due to high-value wire transfer and ACH workflows. FBI IC3 Annual Report 2023
Financial services firms face simultaneous obligations under GLBA Safeguards Rule, PCI DSS, SOX IT controls, NY DFS Part 500, and SEC cybersecurity disclosure rules — each with distinct technical control requirements and examination cycles.
Sector-Specific Challenges
Financial services organizations typically operate under multiple overlapping frameworks simultaneously — GLBA, SOX, PCI DSS, NY DFS 500, and potentially SEC cybersecurity rules. Each has distinct technical control requirements. Most organizations have partial compliance with several frameworks rather than verified compliance with any of them.
Talk to DOYB about thisBEC attacks against financial services firms target wire transfers, ACH transactions, and account modifications — exploiting the combination of high transaction volumes, email-based approval workflows, and trusted vendor relationships. Financial organizations lose billions annually to BEC schemes that bypass technical controls by targeting human approval processes.
Talk to DOYB about thisFinancial regulators — FFIEC, OCC, NY DFS — require documented third-party risk management programs that assess vendor security posture and contractually bind vendors to security standards. Most financial organizations have vendor inventories; far fewer have formal risk assessments tied to their most critical vendors.
Talk to DOYB about thisRansomware operators specifically target financial services because the combination of sensitive customer data, high revenue, and operational continuity pressure creates maximum leverage. Encrypted trading systems, loan origination platforms, or customer portals create immediate business and regulatory consequences that generic ransomware recovery processes cannot adequately address.
Talk to DOYB about thisAI in Financial Services
AI tools in financial services — credit decisioning, fraud detection, customer service automation, investment analysis — interact with regulated data and produce outcomes that carry regulatory scrutiny. AI-driven credit decisions may implicate fair lending regulations. AI systems handling customer financial data require governance under GLBA and potentially CCPA. The risk isn't just security; it's the regulatory accountability framework around how AI decisions are made and documented.
The EU AI Act classifies credit scoring and financial risk assessment AI as high-risk systems with mandatory conformity assessment requirements — relevant for any financial services organization with European customer relationships or using EU-origin AI platforms. US financial regulators including the OCC and CFPB have issued guidance on model risk management that applies directly to AI-driven decision systems.
AI governance in financial services requires coordination across compliance, risk, and technology
Financial organizations adopting AI tools benefit from an AI Readiness assessment that evaluates AI governance requirements alongside existing regulatory obligations — so AI adoption doesn't create new compliance gaps in an already complex regulatory environment.
Relevant Services
GLBA, SOX, PCI DSS, NY DFS, and SEC cybersecurity rule gap analysis, risk assessment, and remediation — structured as a documented compliance program with controls that can be demonstrated to regulators and auditors.
Learn moreManaged detection and response built around financial sector threat profiles — BEC prevention, insider threat monitoring, and the specific attack vectors that target financial services organizations.
Learn moreTechnology strategy, vendor management, and IT governance leadership for financial services organizations that need board-level IT reporting without a full-time CIO hire.
Learn moreRecommended for Financial Services & Fintech
The Ascend Compliance assessment is structured around the compliance, operational, and security challenges specific to your sector — not a generic checklist. You leave with a documented risk picture and a prioritized roadmap built for where you actually operate.
