Posts from @dianacoleman..
Teams are migrating away fromJira Data Centerdue to its impending end-of-life, and staying put increases risks over time.Atlassian recently announced the end of life for Data Centerand is focusing its investments onJira Cloud, where new features, automation, and improvements to roadmaps and dashboar..
Itโs no longer just about protection โ itโs about ๐ฎ๐ฐ๐ฐ๐ผ๐๐ป๐๐ฎ๐ฏ๐ถ๐น๐ถ๐๐, ๐ฐ๐ผ๐บ๐ฝ๐น๐ถ๐ฎ๐ป๐ฐ๐ฒ, ๐ฎ๐ป๐ฑ ๐ฏ๐๐๐ถ๐ป๐ฒ๐๐ ๐ฟ๐ฒ๐๐ถ๐น๐ถ๐ฒ๐ป๐ฐ๐ฒ. โ ๏ธ Fines up to โฌ10M ๐ Supplier & partner scrutiny ๐ก๏ธ Mandatory risk management The question is: ๐ฎ๐ฟ๐ฒ ๐๐ผ๐ ๐ฟ๐ฒ๐ฎ๐ฑ๐? ๐ Read our latest blog to understand the impact and how to prepare: NIS2 Directive and..
Most teams today donโt struggle to find vulnerabilities; they struggle to decide what to fix first. With SAST, SCA, secrets, and CI/CD checks all generating signals, the real challenge is prioritization: whatโs actually exploitable, whatโs reachable, and what can be fixed without breaking things. Instead of relying only on severity, modern teams are shifting toward risk-based remediation, combining exploitability, context, and stability, while reducing noise across tools and automating safe fixes through PRs. If youโre dealing with alert fatigue or slow remediation cycles, this checklist is a practical starting point โ https://go.xygeni.io/ai-driven-remediation-risk-prioritization-checklist
Outlines a Python monorepo setup that pairsuvworkspaces withDaggerandBuildKitcaching. Builds container stages programmatically. Keeps things cache-friendly and predictable. Parsespyproject.tomland extracts the workspace graph. Copies required local packages into intermediate stages. Installs them in.. read more ย
The piece flips enterprise AI fromgenerativetoagentic. Agents getstructured autonomyto perceive, plan, and execute across systems. It turnsvalue streammaps into a control plane withautonomy zones,halt-on-exceptiongates, cryptographicflight recorders, andpolicy-as-code. Result: less hallucination and.. read more ย
Cutlet usesClaude Code. The LLM emits every line. Source, build steps, and examples live on GitHub. It runs on macOS and Linux and ships aREPL. It supports arrays, strings, double numbers, a vectorizingmeta-operator, zip/filter indexing, prototypal inheritance, and a mark-and-sweepGC. Development ra.. read more ย
