Introduction
According to the IBM Cost of a Data Breach Report 2023, the financial sector (while still slightly less than the previous year) experienced some of the highest costs associated with data breaches in 2023, reflecting the critical need for more stringent security measures in our industry. For the same year, the average cost of a data breach reached a record $4.45 million, marking a 15.3% rise since 2020.
This trend underscores the escalating financial stakes in data security, emphasizing the critical need for robust security frameworks. The following graph (Image 1) notes that organizations in critical infrastructure industries, which also includes financial services, bring higher breach costs than those in non-critical industries, primarily due to the complex regulatory requirements and the high value of the data involved.
Image 1: Cost of data breach by industry measured in USD millions – IBM 2023
Leveraging technology for better security & lower costs
Advanced technologies, including AI and automation, have proven instrumental in reducing detection time, the financial impact, and duration of breaches. According to the same IBM report, organizations utilizing these technologies extensively experienced breach-related costs that were $1.76 million lower on average, and they managed to shorten the breach lifecycle by over three months (108 days) compared to those without such technologies. This points to the efficacy of integrating sophisticated security tools in preemptive threat detection and swift response.
Image 2: Percentage of organizations for each technology usage level, and the according cost of data breaches for each level – IBM 2023
Building trust and protecting data in Asset-Based Finance
The asset-based finance market thrives on sensitive financial data. Borrowers entrust asset-based lenders with their financial information. A data breach can compromise client trust and make it difficult to secure future business. Often, smaller asset managers face a key decision: build and maintain their infrastructure, or partner with a specialized provider offering robust security features?
In-house solutions could present several challenges:
- Resource strain: Building and managing a secure infrastructure requires significant upfront investment in technology, tools, and skilled personnel.
- Constant vigilance: Security threats evolve rapidly. Keeping an in-house team updated on the latest threats and patching vulnerabilities requires continuous training and resource allocation.
- Scalability limitations: As your data volume grows, scaling an in-house solution becomes complex and expensive.
On the other hand, out-sourced solutions could offer numerous benefits:
- Cost-effectiveness: External providers reduce upfront investment and ongoing maintenance costs.
- Deep security expertise: External providers usually employ a team of professionals with extensive experience in protecting financial data. This expertise surpasses what most in-house teams can achieve.
- Always evolving: External providers continuously update their platforms with the latest security patches and features. This ensures your data remains protected against emerging threats.
- Scalability made easy: External providers offer scalability to accommodate your growth without additional infrastructure investment.
In-house or outsourced? See how Cardo AI takes the security burden off your team, without the tradeoffs. Book a demo