• Early 2026 Publication Venue Map

    Timeline and quick-win checklist for submitting to IEEE and ISACA venues before Q2 deadlines.

  • Choosing Threat-Modeling-as-Code or PlatformHead-to-head comparison of open-source frameworks and commercial tools for CI/CD-driven threat modeling.

  • Runnable CI/CD Threat-Model Pilot

    Two-week sprint to automate PyTM or ThreatSpec models, enrich to ATT&CK, and export STIX artifacts for SOC use.

  • AI-Driven Dependency Triage FramewoAutomated gate criteria using Scorecard, SLSA, and AI-risk scoring to prioritize human review of dependencies.rk

  • Detecting CI Anomalies with ProvenanFramework to pair anomaly detection models with provenance enforcement for reliable build integrity.ce Gates

  • Comparing Cloud Workload Identity StandardCross-walk between SPIFFE/SPIRE, OIDC Federation, and Sigstore mapped to Azure, AWS, and GCP identity patterns.s

  • Mapping Controls Across AI Trust StandardSix concrete checkpoints linking NIST AI RMF tasks to SLSA, in-toto, ML-BOM, and runtime identity enforcement.s

  • End-to-End Attestation for AI Pipelines

    Practical guide to binding dataset lineage, signed models, and runtime checks into a verifiable trust chain.

  • Network Patterns for Regulated AI

    Decision table comparing Private Endpoints, Service Endpoints, and VNet injection for compliance and performance trade-offs.

  • Embedding Enforcement Hooks in CI/CDStep-by-step enforcement pattern with Azure Policy and DeployIfNotExists to auto-provision secure network controls.