Open Source Security
Dependabot Security Updates: Behavior Deep Dive
A hands-on look at how Dependabot security updates behave in 2023 - PR grouping, semver strategy, transitive coverage, and alternatives when it misses a fix.
Feb 3, 20265 min read
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Supply Chain Security, in plain English.
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.
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Building a Supply Chain Security Metrics Dashboard That Drives Action
Most security dashboards display data nobody acts on. Here is how to build supply chain metrics that actually drive security improvement.
Feb 3, 20265 min read
DevSecOps
GitHub Packages Security Features: What You Get and What You Do Not
GitHub Packages integrates tightly with GitHub Actions and repositories. Its security features are convenient but have gaps that teams need to understand.
Feb 3, 20266 min read
Software Supply Chain Security
Dart/Flutter Dependency Security: Securing the Mobile Supply Chain
Flutter's pub ecosystem is growing fast. The security tooling has not kept pace. Here is what you need to know about securing Dart dependencies.
Feb 3, 20265 min read
Compliance
Canada's Cybersecurity Strategy and the Push for SBOM Adoption
Canada is integrating software supply chain security into its national cyber strategy. Here's where SBOMs fit in and what's coming next.
Feb 3, 20265 min read
AI Security
Enterprise LLM Budget Management Patterns
LLM spend forecasting is where finance teams meet AI engineering for the first time. The patterns that produce predictability are specific.
Feb 3, 20262 min read
AI Security
Griffin AI vs DeepSeek Coder for Security Review
DeepSeek Coder has become a favourite for code-focused workloads. This is how it compares to Griffin AI when the job is security review, not code generation.
Feb 3, 20266 min read
AI Security
Exploit Path Synthesis: Griffin AI vs Mythos
Finding a bug is not the same as proving it is exploitable. How Griffin AI synthesises concrete exploit paths and why pure-LLM scanners rarely get past the sketch stage.
Feb 3, 20266 min read
AI Security
Throughput At Scale: Griffin AI vs Mythos
Engine work parallelises cleanly. Model calls do not. We explain why Griffin AI's throughput scales with CPU while Mythos-class tools bottleneck on rate limits.
Feb 3, 20266 min read
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