December 21, 2015 By Christopher Hockings 2 min read

The notion of technical debt is a long-understood concept in software engineering, product development and delivery. It results in a cost associated with maintaining and perpetuating technical content that maintains, but does not advance, capabilities. It’s a drag on innovation and limits agility when addressing new opportunities. When considering cybersecurity readiness, the enterprise’s ability to minimize technical debt will be a key component of a successful security program.

The Downfall of Technical Debt

No software technology is immune from the impact of technical debt on innovation. However, in the domain of cybersecurity, such debt risks more than an enterprise’s competitive position. This is due to the time spent by security personnel addressing deployment debt rather than staying ahead of the addressable threat landscape.

In the worst-case scenario, an enterprise continues to invest in platforms that are no longer sufficiently effective, resulting in more personnel delivering currency rather than capability. Security debt is a term that has been coined to describe application vulnerabilities that result from such laggardly behavior.

The rapid evolution of information technology, driven by the emergence of cloud computing, is reducing the effective life cycle of traditional enterprise solutions. This has forced software suppliers to accelerate capability delivery through continuous delivery models.

It’s now common and expected that vendors deliver and maintain software products continuously. As an example, security identity and access management (IAM) products, once deployed on-premises by enterprises, are now consumable in multiple ways:

  • Infrastructure-as-a-Service (IaaS) is firmware deployable to Amazon Web Services, IBM SoftLayer or on-premises infrastructure platforms. The ability to script and therefore automate deployment and management makes this approach attractive over previous software middleware solutions, which required enterprise hardware and operating systems with appliances and firmware.
  • Software-as-a-Service (SaaS) is consumable IAM with no mandatory on-premises components.
  • Platform-as-a-Service (PaaS) provides the ability to integrate identity management into development platforms, allowing engineers to easily add identity management operations (e.g., single sign-on) into developed SaaS applications.

The Power of the Cloud

Adoption of cloud-based services provides the enterprise with the ability to minimize technical debt by striking a balance between continuously delivered cloud solutions and existing controls necessary to remain compliant with security requirements. Experienced technical personnel must assess those requirements against available cloud offerings. Increased cloud adoption will free technical security personnel from managing software, empowering them to spend more time on assessments and adoption of technology to stay ahead of evolving threats.

By following a cloud deployment adoption model, enterprise security teams will also become familiar with DevOps and continuous delivery models, which allow organizations to maintain currency, increase speed of adoption and decouple themselves from the technical debt associated with legacy solutions. Along the way, an enterprise can expect to reduce exposure to security vulnerabilities by focusing on automation and integration.

From a cybersecurity perspective, the enterprise must continuously evaluate whether ongoing investments in legacy platforms is throwing good money at bad solutions or whether it’s time to migrate to more modern platforms that support cloud deployment options. The longer it takes to make that transition, the more time adversaries have to exploit the security debt, and the fewer resources you have to advance cybersecurity programs.

More from Cloud Security

Why security orchestration, automation and response (SOAR) is fundamental to a security platform

3 min read - Security teams today are facing increased challenges due to the remote and hybrid workforce expansion in the wake of COVID-19. Teams that were already struggling with too many tools and too much data are finding it even more difficult to collaborate and communicate as employees have moved to a virtual security operations center (SOC) model while addressing an increasing number of threats.  Disconnected teams accelerate the need for an open and connected platform approach to security . Adopting this type of…

Cloud security uncertainty: Do you know where your data is?

3 min read - How well are security leaders sleeping at night? According to a recent Gigamon report, it appears that many cyber professionals are restless and worried.In the report, 50% of IT and security leaders surveyed lack confidence in knowing where their most sensitive data is stored and how it’s secured. Meanwhile, another 56% of respondents say undiscovered blind spots being exploited is the leading concern making them restless.The report reveals the ongoing need for improved cloud and hybrid cloud security. Solutions to…

Cloud security evolution: Years of progress and challenges

7 min read - Over a decade since its advent, cloud computing continues to enable organizational agility through scalability, efficiency and resilience. As clients shift from early experiments to strategic workloads, persistent security gaps demand urgent attention even as providers expand infrastructure safeguards.The prevalence of cloud-native services has grown exponentially over the past decade, with cloud providers consistently introducing a multitude of new services at an impressive pace. Now, the contemporary cloud environment is not only larger but also more diverse. Unfortunately, that size…

Topic updates

Get email updates and stay ahead of the latest threats to the security landscape, thought leadership and research.
Subscribe today