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Unifying physical and cybersecurity risks

8 minutes read
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Banks can no longer afford to treat physical and cybersecurity as separate disciplines. As devices connect to IT networks, every camera, sensor, and access point becomes part of the attack surface. Convergence becomes the foundation for visibility, resilience, and faster response.

In the current financial sector, one thing is clear: Security is no longer two separate conversations. Physical security now sits directly within the cyber attack surface, requiring a unified approach to risk management.

Historically, banks kept physical security and cybersecurity separate for good reason. Legacy analog systems operated independently, and when institutions transitioned to IP-based technology, it was often easier and more cost-effective to replicate that same siloed architecture. At the same time, early IT environments simply weren’t built to handle the bandwidth demands of video. That’s no longer the case.

Today, every connected device — from cameras and access control systems to ATMs and IoT sensors — can serve as a potential entry point into the network. That reality forces a shift in thinking. Physical security is no longer just about protecting people and assets. It’s about protecting the network itself.

Other industries have already made this transition. Banking is catching up, quickly.

To support this shift, institutions need to prioritize secure-by-design technologies. That includes devices built with hardened operating systems, embedded identity protection, and proactive firmware management. A good example is how manufacturers are addressing these risks through a multi-layered cybersecurity approach, including device identity protection, hardened operating environments, and continuous vulnerability management.

The stakes are high. The financial sector consistently faces some of the highest breach costs of any industry. When physical devices become cyber entry points, the impact of a vulnerability extends far beyond a single system.

When cyber and physical teams operate separately, risk persists and multiplies. Without shared visibility, critical connections between physical and digital events are easily missed, even when both teams are working toward the same security goals.

Take a simple example. An employee badge shows someone inside a building, but their network or PC login credentials are simultaneously used to log in remotely from another location. On its own, each signal may not trigger concern. Together, they tell a very different story. That’s the gap silos create.

Without integrated data, teams duplicate efforts, miss combined indicators, and respond more slowly. In a threat landscape where financial institutions remain a top target — including sophisticated attacks from cyber threats and nation-state actors — those delays matter.

The numbers reinforce this. The financial sector continues to experience one of the highest volumes of data compromises year over year. That level of targeting demands a more coordinated defense.

When you connect physical and cyber data, you move from reactive to proactive. You can identify anomalies earlier, investigate faster, and stop incidents before they escalate.

At the same time, banks are operating with leaner teams across larger, more distributed footprints. That creates a clear need for efficiency. Centralized security operations are becoming the answer, but centralization alone is not enough. To fully realize the value, banks must move toward a unified system approach, where physical, cyber, and fraud systems are not just monitored together, but integrated into a shared platform.

When you bring cyber, physical, and even fraud monitoring into a unified security operations center — supported by integrated systems — you gain something incredibly valuable: a single, real-time view of risk across the entire organization. That visibility changes everything. Instead of waiting for reports or manually connecting dots across systems, teams can act immediately. Alerts are shared, workflows are predefined, and decisions happen in real time.

Consider an ATM skimming attempt. A modern, centralized system can detect the anomaly, alert fraud teams, notify cybersecurity analysts, and trigger a response from physical security — all at once. That kind of coordinated action simply isn’t possible in a siloed environment.

There is also a broader shift in how institutions invest in risk infrastructure. A growing number of banks are prioritizing unified platforms that bring together multiple data streams. The goal is not just better security, but better insight. This transforms security operations into a strategic advantage rather than a cost center.

The evolution from centralized monitoring to fully unified systems is what enables true convergence, where data, workflows, and decision-making operate as one.

Technology is a key enabler of this convergence, particularly the combination of edge and cloud architectures.

At the edge, devices like network cameras are no longer just capturing video; they’re processing data locally. That means analytics can happen directly on the device — detecting anomalies, triggering alerts, and reducing the need to transmit large volumes of data across the network.

This approach delivers several benefits:

  • Lower latency, because data is processed closer to the source
  • Reduced bandwidth usage
  • Improved uptime, with data stored directly on the device
  • Built-in redundancy, ensuring critical footage isn’t lost

On the cloud side, institutions gain scalability and centralized access. Data from multiple locations can be aggregated into a single interface, enabling enterprise-wide visibility.

Cloud platforms also support:

  • Long-term storage
  • Advanced analytics
  • Integration with broader cybersecurity ecosystems

Most banks are moving toward a hybrid model, combining edge processing with on-premise and cloud-based management and storage. It’s a practical approach that balances performance, cost, and resilience.

There’s also a regulatory dimension to this shift. As institutions modernize, expectations are evolving. Guidance from the U.S. Department of the Treasury’s report, The Financial Services Sector’s Adoption of Cloud Services, highlights the importance of extending cloud adoption into security operations — not just core systems — to achieve full operational resilience.

Regulators are increasingly focused on how institutions manage risk across systems — not in isolation.

There is a growing emphasis on managing access, identity, and infrastructure together. That aligns closely with the Zero Trust principles, where no device or user is inherently trusted without verification.

Convergence supports this model in several ways. First, shared visibility improves incident response, enabling teams to see the full picture and act accordingly. Second, combined budgets allow institutions to invest more strategically. Instead of funding separate systems that solve similar problems, banks can prioritize platforms that deliver broader value. Finally, cross-functional teams create resilience. When staff are trained across disciplines, organizations are less dependent on isolated expertise and better equipped to handle complex incidents.

One of the biggest challenges facing institutions is how to approach modernization. Too often, bank security replaces legacy systems with newer versions of the same thing. That “like-for-like” approach keeps silos intact, preventing the shift toward unified systems and limiting long-term value. Modernization needs to start with a different approach, one that prioritizes unification, not just replacement, and begins with strategic planning.

That means evaluating:

  • Interoperability with other systems
  • Ability to share and centralize data
  • Built-in cybersecurity protections
  • Support for centralized monitoring and management

It also requires a longer-term view, alignment, and engagement with key stakeholders. Institutions should consider their strategic goals, risk appetite, adoption, and scale of integration when considering what is on the horizon for the next five- to ten-year period. The decisions made today will determine whether systems can adapt to future requirements or become obstacles.

There’s also an opportunity here that goes beyond security. Modern systems can generate insights into branch operations, customer behavior, and service efficiency. They also play a critical role in fraud detection, enabling pattern recognition, reducing investigative time, and supporting real-time alerting through predictive analytics. That kind of intelligence can help offset costs and demonstrate clear ROI.

The direction is clear. Converged security is becoming the standard, not the exception. Delaying that transition comes with real consequences — higher remediation costs, increased regulatory pressure, and greater exposure to risk.

A unified approach delivers what banks need most: better visibility across systems, faster and more coordinated response, and stronger operational resilience. These capabilities are no longer differentiators. They are foundational to operating securely at scale.

Security today is not just about protecting assets or facilities. It’s about maintaining trust and ensuring that every connected system — from a camera to a core application — works together to protect the institution. The banks that succeed will be the ones that break down silos now and build toward a unified, resilient future.

If you’re evaluating your next steps, I encourage you to explore how our integrated security solutions for banking and finance can help unify risk across your operations.
 

Explore how our integrated security solutions for banking and finance can help unify risk across your operations.

John Illes

John Illes is Segment Development Manager, Banking & Finance at Axis Communications. He brings nearly three decades of leadership in bank security, fraud investigations, and crisis management. John leverages his deep industry expertise to help address evolving threats, regulatory expectations, and operational risks with forward-looking solutions.

John Illes, Segment Development Manager