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Optimizing costs in life sciences cybersecurity

Achieving efficient and effective allocation of cyber spend

Life sciences organizations are continuing to face escalating cyber operating costs. The need to protect sensitive data, patient safety, and intellectual property, as well as comply with regulatory requirements and safeguard cyber-physical systems, is critical and complicated. Cyber cost optimization can help you navigate the path to efficient spending.

Balancing security and budget: The urgency of cyber cost optimization

The urgency for cyber cost optimization in life sciences is driven by several factors. The sector is a prime target for cyberattacks due to the valuable data it holds, including patient information, clinical trial data, proprietary research, and intellectual property (e.g., manufacturing recipes, medical device designs). This necessitates robust cybersecurity measures, which can be costly. Additionally, adhering to stringent regulatory requirements calls for continuous investment in cybersecurity infrastructure and processes. The shortage of skilled cybersecurity professionals, the high cost of obtaining cyber talent, and the even higher cost of retaining that talent further strain budgets, making it imperative for organizations to find ways to optimize their cyber spending.

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Streamlining cyber spend: One goal, many ways

The life sciences sector faces distinct challenges that necessitate tailored cyber cost optimization strategies. Life sciences organizations can deploy various spend optimization approaches to align with their overall strategy and achieve short- to medium-term cost optimization objectives.

What is cost optimization? Deloitte considers cost optimization as finding the optimal allocation of cybersecurity spend such that cybersecurity goals/objectives (e.g., complying with regulations, protecting patient safety, protecting manufacturing systems and operations) are met with both efficiency and effectiveness. It is not just cost takeout/savings; it involves strategic resource allocation (both people and technology assets), effective risk management, maintaining regulatory compliance in a cost-effective manner and most importantly re-investment of any cost takeout/savings back into the Cyber program. This includes technology rationalization to remove redundancies, vendor management for better pricing and service integration, and leveraging advanced technologies like artificial intelligence (AI) and automation to enhance capabilities. Additionally, it requires continuous improvement to adapt to evolving threats and industry-specific concerns, maintaining broad protection while optimizing costs. The urgency is driven by escalating cyber operating costs and the increasing complexity of threats, making it imperative for organizations to adopt efficient strategies to protect sensitive data and comply with stringent regulations while maintaining financial sustainability. There are several approaches to achieving cost optimization in the cybersecurity program.

By refining and streamlining the cyber organization’s talent structure and shifting to outcome-based delivery, organizations can build a cybersecurity workforce that meets their dynamic needs. Balancing insourcing and outsourcing by evaluating the optimal mix of in-house and outsourced cybersecurity services can lead to significant annual cost savings, some of which could be reinvested in the cyber program.

Streamlining the security application portfolio by identifying rationalization opportunities and standardizing information technology (IT) and operational technology (OT) tools/platforms can optimize the underlying cyber infrastructure. Regular reviews of security architecture can help in identifying underutilized technologies and optimizing their use. This not only reduces costs but also helps enhance the overall security posture of the organization.

By strategically consolidating alliances, organizations can reduce redundancies and align vendor relationships with evolving cybersecurity needs. Centralized vendor management can lead to better resource utilization and cost savings. This approach helps organizations get the best value from their vendor relationships.

Leveraging AI and automation to optimize processes can improve productivity, fortify effectiveness in identifying and countering threats, and enhance user experience. Streamlining and automating operational processes can lead to significant cost reductions. This not only reduces the burden on cybersecurity professionals but also helps the organization respond quickly to emerging threats.

Get ready for a continuous cyber cost optimization journey

In the life sciences sector, cyber cost optimization is not just a financial imperative but a strategic necessity. By focusing on labor sourcing and workforce optimization, technology rationalization, and vendor and third-party consolidation, as well as leveraging AI and automation, organizations can better navigate the complexities of cybersecurity, potentially achieve significant annual cost savings, reinvest those savings back into the cyber program, achieve more effective and efficient security operations, provide their cybersecurity workforce with more meaningful and higher-value activities, and enhance their overall security posture. Addressing industry-specific concerns, such as protecting sensitive data, maintaining regulatory compliance, and protecting cyber-physical systems (e.g., manufacturing and distribution centers), is crucial for cyber cost optimization. The journey is a continuous process, requiring ongoing assessment, adaptation, and innovation to stay ahead of evolving threats and challenges.

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