ai-security
Safeguard articles tagged "ai-security" — guides, analysis, and best practices for software supply chain and application security.
532 articles
Griffin AI vs Claude Sonnet for Remediation
Claude Sonnet is the workhorse model Griffin leans on for remediation. Here's how raw Sonnet compares to Sonnet inside Griffin's remediation pipeline.
Domain-Adapted LLMs For Vulnerability Detection in 2026
Domain adaptation has quietly become the default for LLM-assisted vulnerability detection. A look at what works in 2026, what does not, and what teams should plan for next.
Griffin AI vs GPT-4o: Security Limits Exposed
GPT-4o is an excellent general-purpose model. Security workflows are a specialty, and specialty work exposes the limits of general intelligence.
Prompt Injection as a Supply Chain Risk in 2026
Prompt injection stopped being an LLM curiosity the moment agents started committing code. It is now a software supply chain risk and should be modeled as one.
AI Cybersecurity Glossary: Key Machine Learning & Security Terms
A defender's glossary of AI security terms — prompt injection, model poisoning, AI-BOM, adversarial ML — with dated, real-world incidents behind each one.
What is Navigating AI for Source Code Analysis
AI source code analysis pairs LLMs with static analysis to cut false positives and speed triage -- but reachability data still decides what's real.
Instruction/Data Conflation: Why Prompt Injection Persists
Prompt injection is not a vulnerability that will be patched. It is what happens when a system cannot distinguish the instructions it is supposed to follow from the data it is supposed to process.
Griffin AI vs Gemini Code Assist: Security
Gemini Code Assist makes developers faster. But faster is not safer. Here's how Griffin AI layers a security engine onto the same developer workflow.
State of Agentic AI Adoption Report Overview
Safeguard's State of Agentic AI Adoption Report finds 71% of enterprises now run agents with production access, outpacing identity, SBOM, and reachability controls.
Detecting Model Supply Chain Poisoning in 2026
Poisoning attacks against the model supply chain have moved from research to incident reports. What detection looks like when the attack surface includes weights.
MCP Ecosystem Maturation: Where It's Going
The Model Context Protocol went from a single-vendor proposal to a multi-implementation standard in under eighteen months. The security implications are still being worked out in public.
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.