data-protection
Safeguard articles tagged "data-protection" — guides, analysis, and best practices for software supply chain and application security.
24 articles
The S3 bucket security hardening checklist
AWS blocked public access by default in April 2023, yet misconfigured buckets still leak data — here's a concrete checklist and Terraform to close the gaps.
AWS S3 Bucket Security: The Complete 2026 Guide
S3 is the single most common source of cloud data leaks. This guide covers block public access, encryption, bucket policies, and how to enforce all three in Terraform.
Encryption vs Hashing: What's the Difference?
Encryption scrambles data so it can be unscrambled later with a key. Hashing turns data into a fixed fingerprint that can never be reversed. One protects secrets; the other verifies them.
GDPR for software developers: privacy by design in practice
GDPR is not just a legal team's problem. Data protection by design, security of processing, and processor due diligence all translate into code, dependencies, and architecture. Here is the developer's view.
State Privacy Laws 2025-2026: The Security Mandates Hidden Inside
Twenty state comprehensive privacy laws are in force by 2026. Most carry baseline security mandates that security teams - not just privacy lawyers - must operationalize.
GDPR compliance considerations for application security teams
GDPR's Article 32 doesn't name SAST or SBOM, but fines like Meta's €1.2B and BA's £20m trace straight back to AppSec gaps.
AI Information Security: How to Protect Data in AI Systems
AI information security is the practice of protecting the data that flows through AI systems, training sets, prompts, outputs, and the models themselves, from disclosure, poisoning, and misuse. Here is a working model of the risks and controls.
India DPDP Act Software Security Implications 2026
A senior engineer's view of the Digital Personal Data Protection Act in 2026: security safeguards, significant data fiduciaries, breach notification, and software controls that actually comply.
AI Data Security Solutions: What Actually Protects Your Data?
AI data security solutions cover the tools and controls that protect the data flowing into, through, and out of AI systems. Here is what the category really includes and how to evaluate it.
Writing a Data Container Security Policy That Teams Actually Follow
A data container security policy sets the rules for how containers handling sensitive data are built, run, and monitored. Here is what to put in one.
How to prevent public access to AWS S3 buckets
A practical walkthrough for locking down AWS S3 buckets: Block Public Access, bucket policies, encryption, and how Safeguard catches misconfigurations early.
Application Data Security: How to Protect Data Across Its Lifecycle
Application data security is the set of controls that protect data as your application collects, processes, stores, and transmits it. Here is a practical model for getting it right.
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