Java 27: Post-Quantum TLS and Faster Runtimes | Bernard Traversat, Oracle | TFiR
Java 27 ships post-quantum hybrid key exchange for TLS 1.3, reduces heap usage by up to 20 ...
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 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 ...
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, ...
The Java Runtime Security Gap Your Static Scanners Cannot See | Simon Ritter, Azul | TFiR
SBOMs and static analyzers do not inventory JVM runtimes or map them to CVE exposure. Simon ...
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 AI Compounds Cloud Cost Problems and How Java Runtime Tuning Fixes It | Peter Maloney, Azul | TFiR
Peter Maloney, CFO and COO at Azul, explains why AI compounds unoptimized cloud costs, why phase one ...
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, ...
