Why Java Quarterly Updates Break Applications and What to Do Instead | Simon Ritter, Azul | TFiR
Simon Ritter of Azul explains why Java quarterly updates containing up to 500 changes create regression risk, ...
Who Owns Java Runtime Security in the Enterprise? | Simon Ritter, Azul | TFiR
Simon Ritter of Azul explains how a point-in-time Java vulnerability assessment creates a remediation baseline, who owns ...
Java’s Move to Monthly Security Patches: What DevOps Teams Must Prepare For | Simon Ritter, Azul | TFiR
AI models purpose-built for exploit development have broken the 90-day Java patch model. Azul Deputy CTO Simon ...
Java Patch Strategy: Deploy Security Fixes Fast, Test Full Updates Safely | Simon Ritter, Azul | TFiR
Simon Ritter, Deputy CTO at Azul, explains how separating Java's security-only CPU from the full PSU lets ...
Java LTS Security Coverage: Which Versions Get Patched and How Fast | Simon Ritter, Azul | TFiR
AI is compressing Java exploit timelines from months to days. Simon Ritter, Deputy CTO at Azul, breaks ...
How Finance Leaders Should Define AI Success | Peter Maloney, Azul | TFiR
Peter Maloney, CFO and COO at Azul, explains why most companies adopt AI before defining success metrics, ...
From Visibility to Action: The Two-Stage Cloud Cost Framework | Peter Maloney, Azul | TFiR
Peter Maloney, CFO and COO at Azul, explains the two-stage cloud cost framework: how to build accountability ...
Free JVM Risk Assessment: How Azul Is Responding to Autonomous AI Exploits | Simon Ritter, Azul | TFiR
AI models are now generating working Java exploits in under 20 minutes with no prior knowledge of ...
The CFO’s Guide to Java Runtime Efficiency | Peter Maloney, Azul | TFiR
Peter Maloney, CFO and COO at Azul, explains why Java runtime optimization is the cost reduction lever ...
Why SBOMs Miss Your Riskiest Java Runtimes and What to Do About It | Simon Ritter, Azul | TFiR
AI models can produce working Java exploits in under 19 minutes. Simon Ritter, Deputy CTO at Azul, ...