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.
Safeguard's State of Agentic AI Adoption Report finds 71% of enterprises now run agents with production access, outpacing identity, SBOM, and reachability controls.
Safeguard's research team analyzed 42,000+ repositories with agentic commit activity, finding new dependency, MCP server, and SBOM gaps introduced by AI coding agents.
Gartner projects a third of enterprise apps will run agentic AI by 2028. Here are six AI agent security risks traditional controls miss.
Scanners generate findings. Programs produce outcomes. After a decade of dashboards and CVE counts, it is time to admit the gap between the two is the actual security problem.
Banks and fintechs are shipping AI-generated code faster than they can vet it. The bill for that speed is starting to come due.
A 2026 look at why AI governance policies keep failing in practice—and the five-pillar operating model executives are using to fix it.
Siloed scanners flood teams with disconnected alerts. Here's why AI powered vulnerability correlation is becoming the industry's answer to alert fatigue.
As AI agents gain production write-access across the enterprise, security teams need a rigorous buyer's guide to separate real agent security platforms from repackaged AppSec dashboards.
From AI-generated code risks to regulatory enforcement, these are the supply chain security trends that will shape the year ahead.
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