Resources

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.

Filtering by tag:#griffin-ai153 articles
All (153)AI Security (294)DevSecOps (153)Open Source Security (132)Best Practices (126)Vulnerability Analysis (98)Incident Analysis (83)Industry Analysis (80)Application Security (73)Compliance (68)Container Security (64)Software Supply Chain Security (51)Vulnerability Management (47)Regulatory Compliance (42)Threat Intelligence (41)Supply Chain Attacks (36)Product (35)Cloud Security (35)SBOM (34)Supply Chain Security (25)Ransomware (21)Infrastructure Security (20)SBOM & Compliance (19)Industry Guides (19)Compliance & Regulations (18)Emerging Technology (17)Case Studies (17)Risk Management (16)Tool Reviews (16)Incident Response (15)Security Strategy (13)Dependency Security (11)Web Security (11)Kubernetes Security (9)Company (8)Architecture (8)Industry Trends (7)Secure Development (7)AppSec (7)How-To Guide (7)Zero-Day Exploits (7)Network Security (7)Dependency Management (7)Data Breach (7)Research (6)Tutorials (6)Security Operations (6)Organizational Security (6)Developer Security (6)Open Source (5)Breach Analysis (5)Code Security (5)Product Launch (4)Offensive Security (4)Tool Comparisons (4)Build Security (3)Vulnerability Research (3)Compliance & Frameworks (3)Regional Security (3)Policy & Compliance (3)SBOM Standards (3)Software Supply Chain (3)Analysis (3)Startup Security (3)Mobile Security (3)Hardware Security (3)Security (2)Zero-Day Analysis (2)Industry News (2)Release (2)SBOM and Compliance (2)Security Management (2)Threat Actors (2)API Security (2)Security Architecture (2)Security Culture (2)Social Engineering (2)DeFi Security (2)Cryptocurrency Security (2)Technical (1)Healthcare (1)Events (1)Frameworks (1)Product Update (1)Standards (1)Engineering (1)Language Security (1)Emerging Threats (1)Privacy (1)Lifecycle Management (1)Career Development (1)Tools & Platforms (1)Threat Modeling (1)Browser Security (1)Threat Analysis (1)Business Continuity (1)Runtime Security (1)Governance (1)Healthcare Security (1)Credential Attacks (1)Identity Security (1)PKI Security (1)Architecture Security (1)Nation-State Threats (1)Tools & Techniques (1)Privacy & Security (1)

Articles

RSS feed
AI Security

Griffin AI vs Claude Citations: Advisory Work

Claude's citations feature makes the model say where its claims come from. Griffin AI uses it for advisory workflows where traceability is the entire point.

Mar 22, 20262 min read
AI Security

Griffin AI vs OpenAI Pricing: Security Workloads

Per-token pricing on the OpenAI API looks cheap on a single call and expensive on a year-long security workload. Griffin AI's pricing reflects the architecture.

Mar 21, 20262 min read
AI Security

Griffin AI vs Gemini On-Device: Developer Tools

Gemini on-device models are fast and cheap. For the developer-tool layer, they're useful. For the engine-plus-LLM layer, on-device is not the right fit.

Mar 20, 20262 min read
AI Security

Grounded Reasoning vs Hallucinated: Griffin AI vs Mythos

The difference between grounded reasoning and hallucinated reasoning is not eloquence — it's citation. A look at how Griffin AI anchors every claim.

Mar 20, 20266 min read
AI Security

Breaking Change Awareness: Griffin AI vs Mythos

An auto-fix that closes a vulnerability and breaks the build is not a fix. Breaking-change awareness separates auto-PRs that ship from auto-PRs that get reverted.

Mar 19, 20266 min read
AI Security

Audit Trail Quality: Griffin AI vs Mythos

An audit trail is only useful if you can answer questions from it. Quality is not about volume — it's about the ability to reconstruct decisions after the fact.

Mar 18, 20264 min read
AI Security

Sanitizer Detection: Griffin AI vs Mythos

A vulnerability that passes through a working sanitizer is not a vulnerability. Detecting that sanitizer accurately is the difference between actionable findings and noise.

Mar 18, 20265 min read
AI Security

Cross-Vendor SBOM Normalization: Griffin AI vs Mythos

Your SBOMs come from a dozen vendors, three scanners, and two CI systems. Normalising them into one queryable graph is where SBOM programs actually succeed or fail.

Mar 17, 20264 min read
AI Security

Benchmark Reproducibility: Griffin AI vs Mythos

A benchmark you can't reproduce is marketing. A benchmark you can rerun on your own infrastructure is evidence. The reproducibility gap is wide.

Mar 16, 20266 min read
Page 2 of 17

Stay informed

Weekly insights on software supply chain security, delivered to your inbox.

Blog | Safeguard.sh — Software Supply Chain Security Insights