Securing AI/ML Pipelines: The Supply Chain You're Not Watching
AI/ML pipelines introduce unique supply chain risks from training data to model distribution. Most organizations have zero visibility into this attack surface.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
AI/ML pipelines introduce unique supply chain risks from training data to model distribution. Most organizations have zero visibility into this attack surface.
In January 2023, T-Mobile disclosed that an attacker exploited an API to steal personal data of 37 million customers. It was their ninth major breach in five years.
Your supplier sends SPDX, your platform expects CycloneDX. Here's how to convert between SBOM formats without losing critical data.
How to configure and operationalize Microsoft Defender for Containers for ACR scanning, AKS runtime protection, and CI/CD integration.
The explosion of AI tools like ChatGPT is reshaping how developers write code — and introducing new supply chain risks that most teams aren't thinking about.
California's privacy laws impose security obligations on software that handles consumer data. Here's how CCPA and CPRA intersect with supply chain risk.
Security considerations for blue-green deployment strategies including environment parity, rollback integrity, and data migration safety.
Data exposure is not just about encryption. It is about knowing where your sensitive data lives, how it moves, and who can access it at every stage.
Content Security Policy is the strongest browser-side defense against XSS. But most CSP deployments are bypassable. Here is why, and how to fix it.
Weekly insights on software supply chain security, delivered to your inbox.