The pressure to ship faster has never been higher. Artificial intelligence (AI) is accelerating how software is planned, built, and delivered.
But it also changes the risk profile of everything from dependencies to data handling.
In our recent webinar, "Developer Velocity with Sonatype and AWS," speakers from both teams unpacked how to move quickly and safely by building governed pipelines that make security invisible to developers and automatic for the business. Here are the key takeaways.
Digital transformation has always aimed to shorten lead times and improve quality. AI again raises the bar: copilots and agents now handle research, boilerplate, integration, and even tool orchestration. The result is a significant productivity boost for developers and platform teams.
But AI also creates a new supply chain that resembles open source — models, weights, prompts, datasets, and agent tools — distributed via repositories (think Hugging Face alongside Maven Central, npm, PyPI). Treating those AI building blocks like dependencies is essential.
You need the same fundamentals you use for open source:
Visibility into what’s being used and where.
Policies for security, legal, and quality.
Enforcement at boundaries (firewalls/proxies) and in CI/CD.
Continuous monitoring as components, and risks, change.
AI hallucinations can suggest fake but plausible package names. Attackers exploit this by publishing malicious packages that match those suggestions ("slop-squatting"), turning them into compromises if your pipeline auto-resolves dependencies. Guardrails during fetch and build times can mean the difference between a near-miss and an incident.
Sonatype has long focused on improving developer velocity through governance of software supply chains:
Nexus Repository (store/proxy components and models close to build).
Automated policy enforcement for security, legal, and architecture.
SBOM and binary analysis to see what's inside applications and images.
Quarantine and firewalling to block malicious or out-of-policy components before they ever enter your environment.
That control surface matters more in AI-assisted development, where code and configuration are generated quickly and frequently.
AWS offers the cloud foundation and shared responsibility model: AWS secures the cloud infrastructure, while customers secure their apps, data, identities, and model usage.
In practice, teams pair Sonatype's capabilities with AWS services for code, build, and run:
Artifact and dependency control near your builders (e.g., integrating with AWS artifact and CI/CD services).
Secure access to models and AI services (e.g., governed selection and usage patterns with AWS’s generative AI offerings).
Scalable, resilient pipelines that keep throughput high without bypassing checks.
The goal: developers don't feel the security steps because they’re built into the path of delivery.
The fastest teams reduce context switching and manual approvals by embedding security directly into the development process. When done right, guardrails operate in the background, allowing developers to focus on building while risks are automatically managed.
A practical playbook includes:
Start with visibility. Generate SBOMs and perform binary analysis to see declared and embedded components and AI artifacts across repos, builds, containers, and runtime.
Enforce at ingress. Use a repository firewall to block packages and models that violate policy before they reach developers or pipelines.
Embed in CI/CD. Integrate pipeline scanning to flag violations early. Fail fast on policy breaches, and auto-open pull requests with safe upgrade paths to minimize disruption.
Continuously monitor. Monitor for maintainer account takeovers, ecosystem campaigns, and new vulnerabilities. Automatically update SBOMs and policies.
Minimize friction. Surface secure version recommendations in IDEs and code reviews, so developers don't waste time chasing approvals or digging through documentation.
By unifying traditional supply chain security with AI-aware governance, organizations can embed trust and resilience into software delivery, without slowing developers down.
AWS secures the cloud's infrastructure. You secure your applications, identities, data, and model usage. Sonatype's security automation helps you do your part without slowing down. Together, this enables governed innovation — shipping faster while managing risks.
By putting security at natural choke points (repositories, CI/CD, deployment) and automating checks, developers work as usual, while unsafe components and models are blocked or replaced automatically.
Turn on repository firewalling, generate SBOMs, and add policy checks to CI/CD. From there, expand to IDE hints, container/image scanning, and runtime monitoring.
Block at the source. Quarantine suspicious or unknown packages and require model/components to come from approved, proxied repositories. Continuous monitoring quickly captures ecosystem attacks and version takeovers.
As AI transforms software development, governance must be a priority. Successful organizations seamlessly embed security into workflows — active in the background but invisible to developers.
Sonatype and AWS give teams the guardrails and automation needed to innovate fast, without compromising resilience, compliance, or trust. By combining governed pipelines with cloud-scale infrastructure, developers can focus on creating value while keeping the supply chain secure.
Want to hear the full discussion, see real-world demos, and explore how to accelerate your developer velocity? Watch our webinar on "Developer Velocity with Sonatype and AWS."
Ready to experience it yourself? Try Sonatype Nexus Repository Cloud and see how secure, cloud-native artifact management can supercharge your developer velocity.