Spring Boot 4.1 GA Week: gRPC, AI 2.0, and a Flurry of Framework Releases
The week of June 8–14, 2026 marked one of the most significant Spring release events of the year, finally delivering the long-awaited Spring Boot 4.1 GA alongside a coordinated wave of framework updates across the entire portfolio. The release had originally been scheduled for May but was deliberately delayed — more on why in the next section.
Spring Boot 4.1 ships with first-class gRPC auto-configuration for both server and client applications, including centralized exception handling via @GrpcAdvice. It adds HTTP client SSRF mitigation through an InetAddressFilter that blocks requests to configured address ranges, addressing a class of proxy-based attack that has grown more relevant as applications wire up to external AI services. Additional improvements include lazy datasource connections, automatic Micrometer context propagation for @Async methods, a Kotlin 2.3 baseline, and enhanced OpenTelemetry support.
Spring AI 2.0 reached GA during the same window, accompanied by Spring Data 2026.0.0 (which brings Kotlin 2.3 compatibility, annotated Redis pub/sub listeners, and type-safe query features) and Spring Security 2026.06 addressing several CVEs. The broader ecosystem saw coordinated point releases of Spring Integration 7.1.0, Spring Modulith 2.1.0, Spring Cloud 2025.0.3 (Northfields), and Spring Cloud 2025.1.2 (Oakwood). Spring Tools 5.2.0 also shipped with IDE improvements benefiting both Eclipse and VS Code users.
Josh Long, writing from New Delhi in the June 16 This Week in Spring post, summarized the release urgency clearly: developers running Spring Boot 3.x or earlier should upgrade to 4.1 promptly given the security patches bundled in this train.
Read more — Spring Blog
How AI Security Scanners Triggered a Spring Emergency
Behind the June release marathon lies an unusual story. The VMware Tanzu Spring team's Spring and Security in the Times of AI post, published June 1, reveals that April 2026 saw 482 new security reports submitted against the Spring portfolio — against a historic monthly average of roughly 6.5. This 74x spike was driven by AI-powered vulnerability scanning tools that dramatically lower the barrier for discovering and reporting potential weaknesses.
The flood produced 26 newly announced CVEs in April alone, spanning Spring HATEOAS, Spring Kafka, Spring LDAP, and other sub-projects. Some were medium-to-low severity, but the sheer volume forced the team to reschedule the May release train to June 8–14 so that patches could be bundled coherently. The team emphasises that this is likely the new normal: advanced AI scanning tools have permanently lowered the expertise threshold for identifying security issues, and framework maintainers should expect elevated report volumes going forward.
For developers, the practical takeaway is straightforward: stay current. The Spring team is shipping security fixes faster than ever, which means older minor versions accumulate unpatched issues more quickly than they used to. The guidance in the blog post is direct — upgrade to the latest patched release and monitor the Spring Security Advisories feed. Teams running Spring Boot 3.5 should also be aware that the EOL clock is ticking, with Spring AI integrations creating additional version-pinning complications.
Read more — Spring Blog
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