deployment
Safeguard articles tagged "deployment" — guides, analysis, and best practices for software supply chain and application security.
21 articles
RBAC & Scoping: Griffin AI vs Mythos
An AI that reads your security data needs the same access controls as a human analyst. Most pure-LLM vendors stop at the role name. Safeguard enforces the scope.
Audit Log Completeness: Griffin AI vs Mythos
Audit logs are where enterprise AI either proves its seriousness or exposes its improvisation. The gap between Griffin AI and Mythos-class products is visible in the first day of a real audit.
Data Residency Controls: Griffin AI vs Mythos
Data residency is no longer a procurement checkbox. It is an architectural property that most pure-LLM vendors cannot deliver without major rework.
SSO & SCIM: Griffin AI vs Mythos
Enterprise identity is not a paywall. It is the substrate on which every other security control depends, and it is where Mythos-class vendors quietly fall behind.
Air-Gapped Environments: Griffin AI vs Mythos
Air-gapped AI is not a feature flag. It is an architectural commitment, and it separates serious enterprise products from consumer-grade assistants.
On-Prem Deployment: Griffin AI vs Mythos
Why enterprise AI for security requires genuine on-premises deployment, not just a SaaS endpoint with a VPN in front of it.
Azure App Service Deployment Security
App Service deployments are easy, which is the problem. A look at the deployment paths, credential surfaces, and hardening steps that matter for production workloads.
Spinnaker Deployment Security Patterns
Practical security patterns for Spinnaker deployments: account isolation, pipeline template governance, artifact binding, and the CVE history behind the current authentication defaults.
Release Management Security Checklist
A pre-release security checklist that covers dependency verification, vulnerability scanning, SBOM generation, and artifact integrity for every production release.