Application security is a critical aspect that is often overlooked in the race to develop and launch new apps quickly. The pressure to meet tight deadlines and deliver apps ahead of schedule, driven by financial incentives for CIOs and DevOps teams, can lead to security being pushed to the backburner. However, the consequences of compromising on security can be severe, with vulnerabilities and weaknesses in application security becoming more pronounced as a result.
Forrester’s 2024 report on the state of application security highlights the growing threats posed by gaps in application security, particularly in software supply chains and DevOps processes. The report also underscores the increasing role of generative AI chatbots in boosting developer productivity, with tools like TuringBots expected to be embedded in software development lifecycles. These AI tools are enabling developers to write code more efficiently, with some seeing productivity gains of up to 50%.
As businesses strive to outperform competitors by delivering new features and apps faster, the adoption of gen AI-based DevOps tools is on the rise. High-performing DevOps teams are deploying code more frequently, emphasizing the need for speed and efficiency in the software development process.
However, the need for speed is also exposing gaps in governance, risk, and security. CISOs, DevOps leaders, and IT professionals are facing challenges in integrating security into agile DevOps models, which often leave limited time for thorough software validation. As a result, new frameworks and approaches are needed to ensure the delivery of safe, secure, and trusted code and applications.
Forrester’s 2024 AppSec report provides valuable insights into the evolving landscape of application security. Key takeaways include the increase in application security budgets despite economic challenges, the importance of adopting Secure-by-Design principles to enhance product security, and the prioritization of API security in light of web app exploits. The report also emphasizes the need to integrate security into the development lifecycle through DevSecOps practices and to focus on hardening software supply chain security.
Ultimately, security needs to be core to the software development lifecycle to effectively mitigate risks and ensure the protection of applications and data. Collaboration between security, development, and operations teams is essential in this endeavor. As organizations continue to leverage gen AI tools to accelerate coding processes, it is crucial to prioritize governance, risk, and security to effectively manage the challenges posed by rapid development cycles.
