Network Security for Financial Services
Every wire transfer, loan approval, bank transaction, and trading algorithm runs across a network that could be targeted in a cyberattack. The goal of cybercriminals is to breach the network and infiltrate valuable systems by any means necessary. Financial services have always been attractive to criminals, and as the financial industry has evolved, so too have their methods of attack. These same bad actors target financial institutions and their customers across various systems and interconnected platforms.
Key Takeaways
- Financial services are under increasing pressure from cybercriminals, with an average of 1735 attacks per week in 2025; a 15% increase year-on-year.
- Automated, AI directed threats outperform manual human detection and response, making AI defenses a necessary critical service.
- Most exploits in the financial sector originate from supply chain vulnerabilities. Attackers bypass hardened bank security measures and target smaller, less secure vendors.
- Zero Trust principles are the primary framework for meeting the mandatory requirements of DORA and PCI DSS 4.0.
- Both DORA and PCI DSS 4.0 signal a clear shift away from checkbox compliance, and now require ongoing monitoring, automated controls, and real-time visibility into security posture.
The Modern Financial Network Architecture
The financial sector is a highly targeted industry, and Check Point’s 2026 Cyber Security Report shows that in 2025, financial services globally experienced 1735 attacks per week; a 15% increase from 2024. For organizations managing customer funds, assets, or payment infrastructure, a successful attack is more than just an IT problem. It’s a serious risk to the business itself.
Strong network security is non-negotiable when fortifying your financial institution’s reputation and regulatory status, as your ability to operate is at risk.
Financial networks today are very different from the legacy infrastructure they replaced. Most core banking systems still run on local, on-premises mainframes, while the majority of customer-facing applications are hosted in multi-cloud environments. Mobile banking apps extend the network edge into every customer’s smart device, adding more complexity.
Another element of financial services includes trading platforms that handle massive volumes of transactions. These transactions are tied to real funds, and low-latency connectivity is essential to properly serve their clients. When you add to that the growing number of open banking APIs that connect financial institutions to FinTech providers, we see a growing number of potential entry vectors.
This hybrid architecture has created friction between systems that can’t afford potential latency overhead from traditional network security products, but are also transmitting highly sensitive, regulated data. The traditional “castle-and-moat” model has dissolved. It has been replaced with decentralized networks that inadvertently expose a far larger attack surface that spans from your data center, to a third-party service or API provider.
Primary Cyber Threats and Vulnerabilities for Financial Services
Threats are advancing in complexity and pervasiveness at an alarming rate, putting excessive pressure on security teams that are tasked with protecting financial institutions. The rise of AI tools has led to an acceleration in the frequency of attacks. Automated attacks on IT infrastructure are more widely accessible, and are easier for criminals to initiate than ever before.
- Automated AI-directed attacks can probe networks and escalate privileges faster than human analysts can detect them. Phishing campaigns are more convincing with AI creating compelling messages that are harder for untrained users to spot, and the frequency of ransomware incidents is on the rise. In 2025, over 7960 victims were listed on data-leak sites, which was a staggering 53% year-over-year increase.
- Shadow IT and Shadow AI are areas where financial service organizations are under pressure. Unapproved applications and services that are adopted without proper IT oversight can lead to security blind spots. Large Language Models (LLMs) are being used more frequently by employees, who sometimes enter sensitive documents and communications into AI systems that the organization has no control over.
- External attack surfaces continue to expand via third-party relationships. Attackers understand that financial institutions invest heavily in security, making them difficult to target directly. However, if a vendor or third-party provider becomes compromised, attackers could potentially move laterally via integrations that lead to the main financial network.
Common Types of Cyber Attacks Financial Systems Face
Below is a list of each common cyber attack type and how they work. Be aware that there are variations to each of the attack types that we highlight, but the core methods behind them are what we are looking at with these examples.
- Ransomware and Double Extortion: Recent ransomware attacks follow a two-stage model. Sensitive data is exfiltrated first, and then systems are attacked and encrypted with ransomware. This is the point at which payment is demanded by the criminals. In the past, institutions with proper backups could ignore these threats, implement mitigations, and simply restore their data. Double extortion takes a more sinister turn. The attackers threaten to publish stolen customer PII and transaction records on dark web marketplaces in an attempt to force the victim to pay the ransom fee.
- AI-based Social Engineering and Phishing: Generative AI has made it more difficult for employees to spot phishing emails. Perfect grammar and punctuation, along with polished formatting, make AI-generated phishing messages seem legitimate to unwary users. Deepfake technology allows attackers to impersonate voices, which allows them to use social engineering to obtain information, such as passwords and other sensitive details.
- Supply Chain and Third-Party Attacks: A compromised vendor can open the door to multiple simultaneous attacks against multiple targets. Attackers who gain access to vendor systems can spoof emails to obtain information from customers, or directly access sensitive information relating to financial clients that the vendor stores.
- DDoS Attacks on Critical Infrastructure: Distributed Denial of Service (DDoS) attacks overwhelm bandwidth and can take entire platforms offline. These affect banking portals, trading platforms, and payment systems. DDoS attacks are unique in that they are launched from external sources, meaning that an attacker doesn’t need access to any internal financial systems in order to successfully disrupt operations.
- Insider Threats and Credential Compromise: Internal threats can cause serious damage and disruption. Compromised credentials allow attackers to move laterally through different systems on the network, all while appearing to be a legitimate user. This makes it very difficult for security teams to spot. Weak passwords, credential reuse, and social engineering could allow an attacker to gain access to your network.
- API Exploitation: With the rise of service integration from third-party providers, API security becomes a serious concern. Logic vulnerabilities, broken authentication, and insecure endpoints allow attackers to exploit API calls and perform actions within a system or application.
Core Network Security Components of a Financial Security Strategy
A comprehensive financial security strategy starts with understanding the individual components that make up the larger system.
Next-Generation Firewalls (NGFW)
Traditional firewalls that operate on port and protocol rules are not up to the task of protecting against sophisticated threats that appear as legitimate traffic. Next-generation firewalls give you application-level visibility and Deep Packet Inspection (DPI) to every connection that crosses your network.
They are able to identify malicious payloads within encrypted sessions and block command and control communications while enforcing granular access policies defined by user, device, and application.
For financial institutions where High Frequency Trading (HFT) limitations are real, using the right NGFW architecture can deliver the security benefits of DPI without introducing noticeable performance degradation and additional latency.
Zero Trust Architecture (ZTA)
Zero Trust follows the principle of “never trust, always verify”. Every user, network connection, and device is treated as being potentially compromised until it has been authenticated. In Zero Trust environments, continuous validation is in place to check the status of a connected device or user.
Microsegmentation divides the network into isolated zones so that even if an attacker gains access initially, they can’t move east-west to reach core banking systems or payment infrastructure. This “blast radius limitation” is vital for environments where there are many active privileged accounts needed to perform daily tasks.
In Zero Trust environments, microsegmentation does not allow users to traverse the network into different zones without reauthentication and validation. This means that if a compromised credential attempts to traverse into a different segment of the network, it will be challenged to authenticate, or rejected based on access permissions.
AI-Driven Threat Prevention
The same AI capabilities that attackers are using to attack systems are being used defensively by cybersecurity teams. AI-driven threat prevention systems analyze traffic patterns and user behavior to spot anomalies at speeds that no human team could ever match.
In financial services, the window between initial compromise and data exfiltration is very small. Teams need to act immediately, and that means shifting defenses away from reactive detection to predictive prevention.
Secure Access Service Edge (SASE)
SASE is a collection of technologies that merges Wide Area Network (WAN) connectivity with a full suite of cloud-delivered security functions. This includes Secure Web Gateway (SWG), Cloud Access Security Broker (CASB), Zero Trust Network Access (ZTNA), and Firewall-as-a-Service (FWaaS).
Financial institutions that manage branch offices with remote advisors use hybrid cloud workloads that rely on SASE. It enforces consistent security policies regardless of where the user is connecting from, or which app or service they are connecting to. SASE eliminates performance bottlenecks that affect VPN-based remote access solutions, while providing enterprise-grade security controls to the network edge.
This ensures that remote employees get the same level of security as someone operating from headquarters, providing consistent policy enforcement and protection.
Automated Security Posture Management
Due to high rates of change and complexity, hybrid cloud environments that span across multiple providers can’t rely on manual configuration and reviews alone. Automated security posture management tools continuously monitor infrastructure configurations against existing best practices, and flag misconfigurations as they are detected. This significantly reduces the chances of an attacker gaining access to your network due to a problematic setting or weak security implementation.
Financial institutions that operate under DORA’s continuous monitoring requirements need automation to remain compliant. Maintaining compliance at scale across multiple cloud environments involves automation to monitor configurations and activity at scale.
Regulatory Compliance and Governance
The Digital Operational Resilience Act (DORA) came into effect across the European Union on January 17, 2025. Its introduction reshaped compliance requirements for financial institutions because of its strict mandates. DORA requires organizations that operate in the financial sector not only to protect their systems, but it also mandates that they demonstrate their ability to withstand, respond to, and recover from information and communication technology (ICT)-based disruptions.
It covers five main areas: ICT risk management, incident reporting, third-party risk oversight, resilience testing, and threat intelligence sharing. Non-compliance can mean serious financial consequences, with penalties determined by national authorities that are designed to be proportionate, effective, and dissuasive. Third-party requirements have an impact on your network security posture, as DORA also considers the compliance of your vendors and ICT providers as well.
PCI DSS 4.0 and Continuous Compliance
PCI DSS 4.0 introduced changes in the way it measures compliance. The shift in focus moved from audit exercises to treating security as an ongoing process. It introduced requirements that specifically target the protection of public-facing applications, as well as ongoing monitoring, strict access controls, and continuous vulnerability management.
In practice, this means that network security teams can’t just rely on annual audits to remain compliant. This standard requires real-time visibility into the security of every system that touches cardholder data.
GDPR and Data Sovereignty
GDPR has strict demands regarding EU customer data for financial institutions. Real-time network visibility, detailed logging of all activities that involve personal data, and the ability to respond to breaches within 72 hours are requirements for remaining GDPR-compliant for organizations that deal with customer financial data.
Maintaining GDPR compliance requires careful architectural decisions. Cloud provider selection has to respect customer data within their jurisdictional boundaries and data routing decisions, as well as the physical locations of your security infrastructure.
Securing Financial Infrastructure with Check Point
Meeting and maintaining the security and compliance requirements of modern financial services requires a platform that was built to handle complexity and performance. Check Point’s Next-Generation Firewall delivers AI-powered threat prevention, DPI, and unified policy management that financial institutions need to remain compliant. It achieves a 99.9% block rate against zero-day attacks while maintaining the performance that trading and payment platforms demand.
For a full picture of how Check Point approaches enterprise security architecture, the Check Point Enterprise Security Framework white paper outlines how these capabilities work together across complex, distributed environments. To see how financial institutions are actively defending against AI-powered attacks in real-world scenarios, watch the Securing the BFSI Sector webinar, or book a hybrid mesh demo to find out how these solutions fit your specific environment.
