As companies explore new ways to use AI, the challenge of balancing innovation with data protection is more important than ever. While developers are under pressure to get new apps out the door, security teams are tasked with protecting information and meeting compliance standards. When these teams aren’t aligned, mistakes happen — data gets exposed, policies get overlooked, and no one takes responsibility.

Large language models (LLMs) and other generative AI systems, which rely on massive and often fluid datasets, further the gaps. The dynamic nature of these environments makes it difficult to monitor what’s happening with data in real time, especially when security is often brought in only after development is complete.

To solve this, some companies are turning to Data Security Posture Management (DSPM) tools. These solutions help both teams understand where sensitive data lives, how it’s being used, and what needs to be protected — all in near real time.

The Challenge: Ensuring Security in an Unpredictable Environment

AI models exacerbate the tensions between developers and security teams. Developers must turn around AI products quickly to power business operations. Oftentimes, this means applications are spun up with privacy protocols followed merely to meet compliance guidelines. Any security interference is viewed as a hindrance to innovation. On the other hand, security teams have a responsibility to monitor and protect data throughout its lifecycle. The need for innovation and data security will frequently put the developers and security teams at odds.    

Compounding this issue is the lack of shared security ownership. Developers are often expected to remediate security risks, but they lack the tools or direct incentives to prioritize security over speed. Security teams, meanwhile, enforce security policies but may not fully understand the complexities of AI development, leading to solutions that slow down innovation. This results in a reactive approach — one where issues are caught too late, and trust in the process breaks down.

DSPM: A Unified Approach to Data Security

One way organizations are addressing this issue is with Data Security Posture Management (DSPM) solutions. Instead of bolting on security at the end, DSPM brings continuous visibility and control over data, regardless of where it resides or how it moves across an organization’s systems. This is especially important in the context of AI, where data is constantly being created, moved, and processed. DSPM tools provide a mutually beneficial solution by enabling security teams to protect sensitive data without slowing down the development process, and in turn, developers can build with confidence, knowing the data will be secure.

Capabilities such as automated policies apply protections across the data lifecycle, flagging issues like exposed sensitive data during testing. Built-in classification and risk assessment allow developers to work freely with non-sensitive data, while ensuring sensitive information remains protected. Lastly, these tools also help teams stay compliant with evolving regulations including the EU AI Act or California’s recent AI rules, reinforcing privacy without adding friction. By integrating these tools directly into workflows, DSPM makes security part of the development process, not an afterthought.

A Collaborative Path Forward

The true value of DSPM tools lies in bridging the gap between security and development teams. Instead of positioning security as a final checkpoint, DSPM integrates continuous data protection into developers’ daily workflows. With automated policies and built-in risk assessment, developers can quickly identify sensitive data, apply the correct protections, and move forward without slowing down. 

Security teams also gain real-time visibility into data use, allowing them to catch potential issues before they escalate into problems. Rather than reacting after the fact, security teams can proactively support development, ensuring data remains protected at every step. 

By aligning both teams through DSPM, organizations remove friction between security requirements and development speed. The result is secure, compliant AI systems built efficiently. DSPM helps companies achieve this balance — turning security from a hurdle into a collaborative advantage.