Banking security in 2026: strategy, regulation and threats
The banking security faces an unprecedented scenario in 2026: automated attacks with AI, targeted ransomware, deepfake fraud and an increasingly demanding regulatory framework. The financial sector has historically been a pioneer in cybersecurity, and this tradition allows it to face the new challenges with an advantage. In this article we analyse how a modern banking security strategy should be structured, what regulations shape it and what trends will define the coming years. In banking this distinction matters: reviewing the difference between cybersecurity and information security helps to align controls with each type of threat.
Banking security: why it is different
This sector is not comparable to the cybersecurity of other fields. Financial institutions manage monetary assets directly connected to global networks, process millions of transactions per second and are the preferred target of the cybercriminals with the greatest technical capacity.
The attacker’s triple objective
Moreover, an attacker against a financial institution simultaneously pursues three objectives: immediate economic gain (fraudulent transfers, theft of credentials), sensitive data (personal information, spending patterns) and reputational damage (loss of customer trust). The attack surface is much wider than in other sectors.
Systemic impact
On the other hand, a serious incident at a bank can have a systemic impact, affecting other institutions, the markets and the real economy. Protecting a financial institution is not just a private matter: it is a question of stability that concerns regulators, central banks and governments.
Banking security: the European regulatory framework
The regulatory framework applicable to the financial sector has intensified notably. European financial institutions must comply simultaneously with several regulations that overlap and complement each other.
DORA: the pillar of operational resilience
For this reason, the DORA regulation (Digital Operational Resilience Act) is the central piece of the banking regulatory framework as regards digital resilience. It requires financial institutions to demonstrate their ability to withstand, respond to and recover from serious technological incidents. It imposes obligations on ICT risk management, incident notification, advanced penetration testing (TLPT) and oversight of critical third parties.
NIS2 and other complementary regulations
Moreover, many banks fall within the scope of the NIS2 directive, which strengthens cybersecurity requirements for essential infrastructures. An institution may be obliged to comply with DORA, NIS2, the GDPR and the guidelines of the European Banking Authority (EBA) simultaneously. An integrated approach is the only way to manage this complexity without duplicating efforts. A good part of these institutions still operate on legacy systems, so modernising COBOL with AI has become a key piece for reducing risk without compromising compliance.
Banking security: main threats in 2026
Undoubtedly, knowing the current threats is the first step to designing an effective protection strategy. The main categories in 2026 are the following.
Deepfake and biometric fraud
In this context, deepfakes make it possible to impersonate voices and images with alarming precision. Biometric authentication systems based on voice or video are no longer sufficient on their own. Because of this, institutions are strengthening multi-factor authentication by combining biometrics with possession factors (tokens, registered devices) and contextual ones (geolocation, behaviour).
Ransomware and double extortion
Ransomware targeting financial institutions has evolved towards double and triple extortion models: encrypting data, exfiltrating it and threatening to publish it if payment is not made. The ability to recover quickly from immutable backups is a critical defence.
Supply chain attacks
On the other hand, the institution’s technology providers (cloud, banking software, payment services) are growing targets. According to the ENISA Threat Landscape report, supply chain attacks are among the trends with the greatest potential impact. DORA obliges institutions to actively supervise their critical suppliers.
Banking security: Zero Trust architecture
Finally, the Zero Trust architecture has established itself as the reference model for the sector. The principle is simple: never trust, always verify.
Practical implementation
Zero Trust means authenticating and authorising every access to resources, regardless of whether it comes from inside or outside the corporate network. Moreover, it segments the network to limit lateral movement in the event of a compromise, applies the least-privilege principle to every user and system, and continuously monitors behaviour to detect anomalies.
Identity as the new perimeter
The biggest conceptual change of Zero Trust is that the perimeter is no longer the network: it is the identity. Protecting the identities of users and machines becomes the main focus of the strategy. Privileged identity management (PAM) and identity threat detection and response (ITDR) solutions are priority investments.
Banking security: defensive AI and governance
On the other hand, artificial intelligence has transformed both the threats and the defences. A modern strategy integrates AI across multiple layers.
Detection and response with AI
XDR (Extended Detection and Response) platforms with AI analyse billions of events in real time, correlate patterns and detect attacks that rule-based systems would overlook. For this reason, modern SOCs (Security Operations Centers) combine human analysts with AI capabilities to operate 24×7 efficiently.
Governance of defensive AI
Moreover, the use of AI in security requires its own governance: validation of the models, oversight of their decisions and compliance with the EU AI Act where applicable. Finally, the most mature institutions implement explainable models so that analysts can understand why the AI made a particular decision.
Banking security: organisational culture and the human factor
The most advanced technology does not make up for a weak organisational culture. The human factor remains the link that attackers most frequently seek to exploit.
Continuous training
Staff training must be continuous, not an annual event. Periodic phishing simulations, role-specific training and incident response practice are investments with a direct return. Institutions that treat training as a recurring expense, and not as a luxury, obtain better results in security indicators.
Leadership and accountability
Moreover, protecting the sector is no longer the exclusive responsibility of the CISO. NIS2 and DORA make governing bodies directly responsible. The board of directors must understand the cybersecurity posture, approve the strategy and be accountable for its effectiveness.
In conclusion, banking security in 2026 combines advanced technology, rigorous compliance and organisational culture. Institutions that integrate these three dimensions coherently will be better positioned to protect their assets, their customers and their reputation in a constantly evolving threat environment.
Within the financial framework: the DORA regulation and cybercrime with AI.
Modern banking security is the set of technological controls, processes and regulations that protect a financial institution’s assets, customer data and digital operations against cyberattacks, online fraud, money laundering and identity impersonation. It includes Zero Trust, strengthened PSD2 authentication, continuous monitoring and operational resilience under DORA.
DORA (EU Regulation 2022/2554) obliges financial institutions to implement a comprehensive ICT risk management framework, governance with board responsibility, advanced resilience testing (TLPT every 3 years for significant institutions), notification of serious incidents within 4 hours and active oversight of critical ICT providers. Penalties of up to 1% of daily turnover for non-compliance.
The main threats in 2026 are CEO fraud with voice deepfakes, ransomware targeting critical banking infrastructure, ICT supply chain attacks, hyper-personalised phishing with generative AI, abuse of Open Banking APIs, biometric identity hijacking and leakage of privileged credentials. Banking is the third most attacked sector at European level according to ENISA.
CEO fraud is a scam where the attacker impersonates a senior executive (through a compromised email, voice or video deepfake) to order urgent transfers to accounts under their control. Prevention: mandatory double validation of transfers via an alternative channel, a shared out-of-band keyword, specific training for treasury and financial management, and behavioural anomaly detection tools.
Defensive AI in banking makes it possible to detect transactional fraud in real time with models that learn the customer’s behaviour patterns, automates incident response (SOAR), correlates scattered alerts in the SIEM, identifies money laundering through network analysis (AML/KYC) and generates automated forensic evidence. Its use is regulated by the EU AI Act as a high-risk system when it decides on credit or fraud detection.
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