reachability
Safeguard articles tagged "reachability" — guides, analysis, and best practices for software supply chain and application security.
50 articles
Reachability Analysis for Rust and Cargo in 2026
How reachability analysis cuts noise for Rust services: cargo features, conditional compilation, RustSec advisories, and the tools that handle Rust well.
Dynamic Dispatch: Griffin AI vs Mythos
Dynamic dispatch hides real exploits behind indirection. Griffin AI models the dispatch; Mythos-class tools guess. That gap changes outcomes.
State of Vulnerability Management 2026 Report
Where vulnerability management actually stands in 2026: KEV-driven prioritization, reachability, SLAs that hold, and the tools teams are consolidating onto.
Cross-Package Analysis: Griffin AI vs Mythos
Real exploits cross package boundaries. Griffin AI's graph follows them; Mythos-class tools often stop at the file they are reading.
FinTech Cuts CVE Noise 80% With Reachability
An anonymized story of how a high-growth payments FinTech slashed vulnerability backlog noise by 80% using Safeguard's reachability analysis.
Reachability Noise Reduction: Findings
The Safeguard Research team ran reachability analysis across a large corpus of real codebases. This is what we learned about which CVEs actually matter.
Taint Propagation: Griffin AI vs Mythos Approaches
Taint tells you whether attacker data actually reaches a sink. Griffin AI propagates it; Mythos-class tools infer it. The difference shows up fast.
Reachability Analysis for Go Modules in 2026
Go's static linking, vendoring, and govulncheck make reachability analysis tractable. Here is what works, what does not, and the false-positive numbers.
Inside Safeguard's Reachability Engine
A deep look at how Safeguard's reachability engine combines call graph construction, symbolic analysis, and runtime evidence to reduce vulnerability noise by an order of magnitude.
Call Graph Depth Compared: Griffin AI vs Mythos
Shallow call graphs miss real exploits; deep graphs surface them. We examine how Griffin AI and Mythos-class tools differ on depth, and why it matters.
Reachability Analysis: Griffin AI vs Mythos
Reachability-grounded reasoning produces actionable findings. Ungrounded LLM reasoning produces speculation. We explain the methodology gap.
How to Add Reachability Analysis to PR Checks
Run reachability analysis on every pull request to slash vulnerability false positives by 70%+, gate merges on exploitable findings, and keep devs focused.