Rapid advancements in computer vision and artificial intelligence (AI) are transforming industries like retail, healthcare, and security. But scaling AI systems while maintaining integrity requires robust software supply chain security—especially in today’s world of distributed, composable architectures.
Plainsight turns computer vision into scalable, composable workloads, while Chainguard champions a security-first approach that ensures system reliability from the ground up. This blog explores how software supply chain security enables scalable, efficient, and effective computer vision.
Plainsight’s Approach to Scalable Computer Vision
Unlike standard data workloads, vision workloads process video data, which is uniquely large and unstructured. Managing and scaling these workloads poses unique challenges. Plainsight tackles this by optimizing vision workloads to be cost-efficient, scalable, and adaptive to modern enterprise needs.
Plainsight CEO Kit Merker describes the company’s approach as building “Netflix for robots,” where cameras capture huge amounts of vision data, the data is curated declaratively, and only the most relevant pieces are sent for GPU processing. To achieve this, Plainsight enables customers to containerize models and code into deployable packages that can run at the edge, on-premises, and in the cloud, offering flexibility and adaptability across environments.
By preprocessing data on cost-effective hardware, Plainsight reduces costs while maximizing the number of workloads that can be processed on an existing GPU or minimizing cloud GPU usage—even for demanding vision workloads. Additionally, its composable pipeline model allows multiple vision workloads to be linked together, making it possible to scale AI solutions across different facilities and locations.
The Role of Secure Software Supply Chains
Scaling vision workloads is only half the battle. A secure software supply chain is essential to ensure trust and reliability. Security-forward development supports AI deployments at scale—without sacrificing performance or compliance.
Historically, developers faced a “trust me, bro” problem—assuring customers their containers were safe, even when vulnerabilities were unverified. In AI-heavy systems like vision workloads—where edge deployments, containers, and hybrid models converge—the risks multiply. Vulnerabilities can compromise performance, data integrity, and compliance.
Chainguard’s Secure-by-Design Approach
Chainguard is built on a zero-trust, secure-by-design philosophy—focused on eliminating vulnerabilities upfront rather than patching them later. This approach ensures that containers are delivered clean and free of exploitable flaws, reducing security risks from the start. Chainguard’s tools align with Plainsight’s hybrid workload model, enabling organizations to deploy standardized, secure containers across edge, on-prem, and cloud environments.
By addressing compliance during the development process, developers no longer need to justify false positives or rely on external security scans, as containers meet compliance standards before they are shipped. This proactive security model directly complements Plainsight’s mission to deliver secure, containerized AI models for both customers and internal teams, supporting scalable and trustworthy AI deployments.
Benefits of Combining Computer Vision with Secure Supply Chains
Enhanced Scalability
Plainsight’s pipelines combined with Chainguard’s zero-trust framework enable scalable AI workflows that are also secure. Teams don’t just improve performance—they create confidence in every deployment.
Cost Efficiency
Optimizing hardware use, reducing GPU dependency, and ensuring upfront compliance make vision workloads more affordable and scalable. This approach unlocks AI for industries previously limited by cost and complexity.
Proactive Security for Sensitive Data
Vision AI often handles sensitive or regulated data. Chainguard ensures these pipelines are tamper-proof and secure, protecting privacy and operational integrity.
Hybrid Workflows at Enterprise Scale
Enabling true hybrid workflows that operate at the edge and in the cloud is ideal for critical environments like retail chains, healthcare systems, and logistics hubs.
Computer Vision’s Future with Secure Software Supply Chains
Plainsight and Chainguard demonstrate how AI and security innovation can address some of the toughest technical challenges. Chainguard rebuilds open source software directly from source daily. Plainsight reimagines vision workloads as composable pipelines—making AI scalable and manageable across industries. By combining scalable computer vision with secure supply chains, organizations can deploy AI at scale—with confidence, efficiency, and security. Watch the full interview on our YouTube!
Want to elevate your vision AI capabilities? Explore how secure, composable frameworks from Plainsight and Chainguard can accelerate your next AI project. Let’s chat!
