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.
AI agents break least-privilege assumptions built for humans: they chain tools, act autonomously, and compose narrow scopes into broad access no one reviewed.
Mend.io vs Noma Security: how these AI security platforms compare, and where Safeguard fits with its own AI-BOM, model scanning, and AI Gateway.
Model flaws and application flaws in AI agents cause different breaches and need different fixes. Real incidents show where each risk actually lives — and how to test for both.
Attackers smuggle malicious payloads into trusted AI skill repositories via typosquats, staged fetches, and split-file obfuscation — here is exactly how it works.
CVE-2025-29927 let attackers bypass Next.js middleware auth with one header. Here's how that and three other real CVEs expose middleware, Server Actions, and caching.
A concrete look at Mend.io alternatives for SCA and AppSec buyers, comparing policy enforcement, SBOM generation, and build integrity against Safeguard's unified platform.
Most AI model inventories are name-and-owner spreadsheets. Here's the provenance, licensing, CVE, and revalidation fields a real AI model risk registry needs to track.
A precise glossary of agentic AI security terms — prompt injection, tool poisoning, model jailbreaking, excessive agency, and MCP rug pulls — with concrete attack examples.
A spoofable internal header let attackers skip Next.js middleware outright, bypassing auth and route protection across many production deployments.
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