Anthropic
Safeguard articles tagged "Anthropic" — guides, analysis, and best practices for software supply chain and application security.
15 articles
Daybreak vs. Mythos: 2026 Is the Year the Frontier Labs Entered Defensive Security
OpenAI's Daybreak and Anthropic's Mythos both bet that frontier models can find and fix vulnerabilities at scale. The discovery race is real — but the bottleneck, the cost curve, and the winning strategy all point the same direction: be model-agnostic.
Claude Opus 4.8 for Security Teams: Capabilities, AppSec Use, and Governance (May 2026)
Anthropic shipped Claude Opus 4.8 on May 28, 2026, with sharper agentic coding and better honesty about its own work. Here is what it changes for vulnerability triage, fix-PRs, and the governance you need before it touches your pipeline.
Anthropic Claude vs OpenAI GPT: Enterprise Security in 2026
A pragmatic comparison of Claude and GPT for enterprise deployments in 2026, focused on the security and governance controls that matter to a buyer.
Anthropic's Mythos Vulnerability Scanner: An Honest Assessment of Strengths, Weaknesses, and Reasons to Be Cautious
Anthropic's Mythos model is generating buzz for AI-powered vulnerability detection. We break down what it does well, where it struggles, and why security teams should approach the results with healthy skepticism.
The Limits of Single-Model Vulnerability Scanning: A Technical Analysis of the Mythos Approach
Anthropic's Mythos model claims to find vulnerabilities in open-source code using a single LLM. We analyze where this approach falls short and why production-grade zero-day discovery requires Safeguard's Multi-Agent TAOR Deep Think AI Engine.
Griffin AI vs Claude Agent Skills for Security
Anthropic's Claude Agent Skills let you package tools and context for Claude. Here's how that primitive compares to Griffin's security-specific workflow scaffolding.
Griffin AI vs Claude Haiku for Bulk Scanning
Claude Haiku is the cost-efficient model Griffin uses for high-volume scan interpretation. Here's how raw Haiku compares to Haiku inside Griffin's bulk pipeline.
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.
Anthropic mcp-server-git: Three CVEs That Chain to RCE via Prompt Injection
Three flaws in Anthropic's official Git MCP server let prompt injection in a README compromise the developer's machine. The chain shows how MCP servers leak authority.
Griffin AI vs Claude Opus for Triage
Griffin uses Claude Opus as its deepest reasoning engine. Here's what triage looks like with Opus alone versus Opus running inside Griffin's eval harness.
Anthropic MCP Security Model: A Deep Dive
Anthropic's Model Context Protocol introduces a new trust boundary between agents and tools. Here is how the security model actually works in practice.
Griffin AI vs Raw Claude for Security Workflow
Griffin AI runs on Anthropic's Claude models under the hood. Here's what the engine context, eval harness, and workflow scaffolding actually buy you over calling Claude directly.